Interpreting Popular Music Essay Example | Topics and Well Written Essays - 2000 words

Interpreting Popular Music - Essay Example Lastly, of every significant structure, music has maybe the most unpretentious and complex connection to verbal dialect and the sorts of referentiality in which it is (customarily) related. The state of it being rich, makes music a vital source-case for a basic semiotics. Nevertheless, it is likewise this richness, which has regularly separated musical semiotics into contending camps, each one deficient. I ought to pause a minute, then, to show the general blueprints of the new amalgamation which, I believe, can at long last start to address this many-sided quality. There are three key improvements in musical semiotics in the 1990s. The principal was a basic swing in the field far from formalism for its own particular purpose, towards a recharged enthusiasm for hermeneutics (but of a profoundly formalized sort). The hermeneutic turn has given room for musical semiotics to say significantly more in regards to the particular connections between cultural value and formal detail. The second advancement was the development of an intelligible and effective hypothesis of musical gesture a vastly improved picture of the associations between musics symbolic and corporeal aspects, and the inconspicuous interplay in the middle of literal and progressively abstract signs of encapsulation in musical practice. This advancement has permitted musical semiotics to be more particular about the instruments fundamental musical connotation at all levels of sweeping statement. The third advancement has been the rise of a semiotic hypothesis of musical narrative and musical personae. However, the main aim of this paper is to give a semiotic analysis of aâ€Å"Not a second† a rock song done by the Beatles back in the years. There has been plenty of earnest rock writing -- Heylin 1992 Eisen 1969, and Kureishi 1995- are excellent anthologies. Nevertheless, so far it has largely concentrated on disciplines like music’s sociology, with their theories and concepts rooted in

Monash Carbon Footprint report

Monash Carbon Footprint report This report presents interpreted data after Monash university conducted a carbon footprint assessment between 2005 till 2014.   Introduction Today we can see for ourselves the damage we have caused to our home planet. overshoot is known as the consumers demands for earths resources are going beyond the level which the earth can regenerate. According to dahl(2008), improving global governance and our ability to manage the earths resources is thus a key part of any solution. Preventing overshoot and collapse is a challenge of our time. to reduce greenhouse gas emissions, Monash university has assessed their carbon footprint from 2005 to 2014. Monash university consists of the Berwick, Caulfield, Clayton, Parkville, and Peninsula campuses within all of Australia, Carbon dioxide(co2) is emitted daily when we account for the burning of fossil fuels to supply heat and to cool rooms, to run appliances, transportation, and the management of water and waste products. According to the united states environmental protection agency, co2 is then trapped within our earths atmosphere and are termed as greenhouse gases as co2 is a direct threat to our ozone layer and is also a major contributor to global warming. There are three scopes consisting of either direct or indirect. Monash universitys gross total emissions started out with 168,838 tonnes of co2-e/year after being recorded in 2005 and at the end of 2014, Monash universitys gross total emissions were calculated at 190,874 tonnes of c02-e/year. Characterizing the scopes Scope 1: this is a direct method of emitting greenhouse gases (GHG) by Monash universitys use of natural gas at all sites, the types of fuel used for transportation, the types of fuel used for other purposes, use of appliances such as refrigerants, methane emissions, and commercial c02. Scope 2: this is an indirect consequence by monash university of GHG emissions released for their use of electricity which is purchased from another party. Scope 3: this is also an indirect way of GHG emissions being released into the earths atmosphere which generally accounts for electricity, natural gas, paper/cardboard waste, food waste, recyclables, transport fuel, water waste, air travel, taxi cabs, fire extinguishers, and public transport. GHG emissions from scope 1 according to marty mccarthy (2015), scientists gathered a national study was taken where over a 1000 cows were tested and the method of measuring the ghg emissions under the factor of livestock methane is by putting the livestock animal in chamber which can be used to measure methane. Then the next step is to monitor the air in and out and then calculate the concentration in that of the air mixture. It can be observed that the emissions have tripled over the course of 9 years. A reason to this might be the amount of food that is been fed to the livestock animal, or à ¢Ã¢â€š ¬Ã‚ ¦. upon checking the ghg emissions within all of the sites of monash university, it is most important to check the fuels used for transport purposes and to separate the types of fuel since different fuels produce different emiisions. according to the national greenhouse account factors (2014), there is a formula which calculates the ghg emisiions released by different fuel types. there is a trend to be seen and it could be seen that the ghg emissions are slowing declining after each year. A reason to this might be the adaptation of hybrids and electric carsà ¢Ã¢â€š ¬Ã‚ ¦ the ghg emissions can be measure by the equation given below, scope 1 Refrigerants When we use refrigerants, we never account for the harmful emissions that are released into our atmosphere. Beck in the day, ghg emissions like chlourofluoro carbons(CFC), halons, and hydrochlorofluro carbons (HCFC) went unnoticed for a very long time. To combat CFCs , halons, HCFCs, substitues such as hydroflouro carbons (HFC) and perfluoro carbons (PFC) have been used to regulate the substances that deplete the ozone layer. This occurance was due to the amendment of the montreal protocol in 1990 which is known to be widely successful due to the universal ratification of fighting ozone depleting substances (ODS). Emissions from regrigerators and ari conditioners can be a resulted from the manufacturing process of the product, from leakages, or from poor service of the operation life of the products. Any reduction of the ODSs can have huge potential benefits since ODSs pose a threat greater than 1000 times that of co2. during the period of assessing monsh univeritisys carbon footprin t, it can be see that there is a linear trend where ghg emissions are increasing over time. This can be a result of opening up new builings within the campuses and the addition of commercial unitary air contioning units to have comfortable room temperatures in the given buildings, or it can be from the transport of refrigerated goods, à ¢Ã¢â€š ¬Ã‚ ¦. Scope 2 electricity The ghg emissions from the comsumption of purchased electricity from the grid has a physically toll on our environment but this is not a direct result from monash university as aforementioned. The burning and processing of coal, natural gas, or the refinement and transport of crude oil(petroleum) can have the direct response of ghg emission released into our environment. Emissions from electricity (scope 2) can be meure by the equation below, According to scope 2 guidance by GHG protocol, there are two methods to determine for the emission associated with electricity consumption. The first metheod is the location-based method, where it can be applied to every grid, and it focues on the connection between collective comsumer demand for electricity and how much emisiions re leased from the local electricity generated. The other method which is market-based method, focuses on hoiw much electricity is consumed by the choices of the consumer. Observing Monash Univeristys scope 2 emissions, is can be seen in the graph that the lowest reading of GHG emissions occurred in 2005, and throughout the years of recording scope 2 emissions, it can be seen the number fluctuates each year till the period of 2009 till 2014 where the number have a staggering amount where the ghg emissions ranges around 120, 000 tonnes of CO2-e per year, but during 2014, the ghg emissions have sort of been regulated. A reason for the increase of ghg emission s might be negotiating with a company whose primary source of energy might be from coal, and a way to reduce this would be to switch to a low carbon electricity supplier, or to purchase certifictaes from low carbon energy generation. Scope 3 https://www.giss.nasa.gov/research/briefs/fung_01/ http://www.abc.net.au/news/2015-12-14/impact-of-cattle-on-methane-emissions-downgraded/7027088 http://www.chlorinated-solvents.eu/index.php/regulatory-compliance/ods-regulation http://www.environment.gov.au/protection/ozone/montreal-protocol http://ghgprotocol.org/files/ghgp/Scope%202%20Guidance_Final.pdf http://www.cleanenergyregulator.gov.au/NGER/About-the-National-Greenhouse-and-Energy-Reporting-scheme/Greenhouse-gases-and-energy http://www.cleanenergyregulator.gov.au/DocumentAssets/Documents/NGER%20Energy%20production%20and%20consumption.pdf http://www.environment.gov.au/climate-change/greenhouse-gas-measurement/publications/national-greenhouse-accounts-factors-dec-2014 https://www.monash.edu/environmental-sustainability/get-involved/staff/green-program https://www.monash.edu/environmental-sustainability/get-involved/students/do-one-thing https://www.monash.edu/environmental-sustainability/campus-initiative/energy/renewable-energy http://www.greenpower.gov.au/About-Us/ https://www.epa.gov/ghgemissions/overview-greenhouse-gases http://edition.cnn.com/2016/07/01/health/antarctic-ozone-layer-healing/ http://sciencing.com/co2-deplete-ozone-layer-4828.html http://www.cleanenergyregulator.gov.au/NGER/About-the-National-Greenhouse-and-Energy-Reporting-scheme/Greenhouse-gases-and-energy http://www.ghgprotocol.org/calculation-tools/faq http://www.environment.gov.au/climate-change/greenhouse-gas-measurement/publications/nger-technical-guidelines-2014 http://www.ghgonline.org/othershfcs.htm https://ec.europa.eu/clima/policies/f-gas/alternatives_en https://www.epa.gov/ods-phaseout http://www.energyaction.com.au/energy-procurement/electricity-procurement http://www.ghgprotocol.org/scope_2_guidance http://www.treasury.gov.au/PublicationsAndMedia/Publications/2015/2015-Intergenerational-Report http://www.treasury.gov.au/~/media/Treasury/Publications%20and%20Media/Publications/2015/2015%20Intergenerational%20Report/Downloads/PDF/2015_IGR.ashx https://www.mla.com.au/Research-and-development/Environment-sustainability/National-livestock-methane-program https://www.monash.edu/environmental-sustainability/our-commitment/environmental-sustainability-policy https://www.monash.edu/policy-bank/management/facilities-services/enviro-procedures http://iefworld.org/ddahl08d.htm https://www.monash.edu/__data/assets/pdf_file/0005/783617/Environmental-Sustainability-Policy-Australia-only.pdf https://phys.org/news/2007-11-atmosphere-carbon.html http://www.environment.gov.au/climate-change/greenhouse-gas-measurement/tracking-emissions http://www.environment.gov.au/system/files/resources/da7bde5c-1be2-43f7-97d7-d7d85bb9ad6c/files/nger-technical-guidelines-2014.pdf http://www.environment.gov.au/system/files/resources/5e11ecad-6d23-4e4b-bf9d-d4630a4e523b/files/nger-technical-guidelines-2012.pdf https://carbonneutral.com.au/wp-content/uploads/2015/01/Carbon-Offsetting-and-Carbon-Neutralilty-Explained.pdf https://www.epa.gov/sites/production/files/2015-07/documents/fugitiveemissions.pdf http://www.treasury.gov.au/~/media/Treasury/Publications%20and%20Media/Publications/2015/2015%20Intergenerational%20Report/Downloads/PDF/2015_IGR.ashx

Making an Impact :: Teaching Education Careers Essays

Making an Impact Today, society demands more of teachers than ever before. In many cases teachers are required not only to teach their content area, but to also teach values and skills needed to function properly in society. It is a heavy burden to handle, but I cannot wait to do it. I hope to make a positive impact on students’ lives. Education is very important because it must prepare students to take on their dreams and goals. Without an education the chances of a student succeeding in life are very slim. Some students see school as an escape from a rough life at home or as their opportunity to go to college on an academic or athletic scholarship; opportunities they would not have had otherwise. I would give students an equal opportunity in class, where everyone is on the same playing field, to gain an understanding of my content area, social studies, and how they can apply it to real-life situations. My plans for achieving my goal of becoming a teacher include staying dedicated and enthusiastic about my content area and the possibility of having a good influence on a young person’s life. A love of learning about the areas of social studies will push me to continue learning. After graduating from college, I plan on obtaining a master’s degree and becoming a high school social studies teacher. As a teacher, I plan to join the National Education Association and join the teacher’s union at my district of employment. I see an advantage in teachers working together to provide a better learning atmosphere for students. As an educator, my goal is to prepare students for the â€Å"real world† to the best of my abilities. Many times, teachers are the only guiding light in students’ lives and are often their greatest influence. School is more than just a place for learning. The experiences students have in school usually lay the groundwork for the future of their lives. School is also a place for social interaction. The everyday interaction with other students prepares them to handle themselves properly once their schooling is finished. If a person breaks the rules, he or she is punished for it, the same way they would if they broke a law in society. Discipline is essential in maintaining order in the classroom. A larger percentage of today’s students lack the discipline and responsibility that should be learned at home.

Background in computer science, mathematics, and information systems

I had just finished my Bachelors’ in Commerce and was weighing different options of future study that would serve my career best. This was twelve years back and I was one of the fortunate many who were aware of the outsourcing story in India. US Multinationals were off shoring more and more large software projects to India. There was a tremendous shortage of computer skills in the world and India, which foresaw this stepped in to fill the gap The Indian software industry, had zoomed from a mere $ 20 million in 1978 to $ 4 billion in 1998-99, of which $ 2. 6 billion was exported.India had achieved this feat by leveraging its most valuable resource, that of highly skilled manpower. These facts stared at all young aspirants who were looking at a bright future career and I decided to make the most of this opportunity by entering the Information Technology sphere to enhance my skills and improve myself. The thirst is not over as yet and I am applying for Masters’ today after relevant exposure and experience. Right from High School. I had a way with numbers and this made me get an A in Mathematics in my High School, and very good grades in my Accounts, Costing and Statistics in BCom.This aptitude and confidence in my quantitative skills made me choose the field of Computers where I knew a person’s logical thinking was the key to success. I got my Post Graduate Diploma in Computer Sciences from Comp-U-Serve, a professional organization. I cleared my Microsoft Certified Professional exams and also did a course at Harvard University in Advance networking and secured an A I also joined a Master’s program in Computer Applications and the following are the courses that I studied during my training at Vivekananda. 1. IT Tools and Applications. 2 Business Systems. 3 Programming and Problem Solving through C Language .4 Computer Organisation. 5 Structured System Analysis & Design. I started my career as a Systems Administrator and Training Faculty with a Computer Training Institute called Wintech Computers where I learnt a lot about real world computing in Java and Networking. My next learning curve took me to General Electric which gave me a totally different perspective. I was appointed as a Client Services Analyst for one of the world’s first off-shoring trials of Network Operations to India, where I had to study Information Systems and Network Operations in the United States and off shore the whole process to my peers in India.Later, I joined a start up IT consulting firm in the United States, Mascon Global Consulting. I have been with this firm for the past 6 years and have helped clients like Novartis Pharmaceuticals, Verizon and McGraw Hill with implementing various IT solutions Novartis gave me exposure to how information Systems could be used for purposes of research, of innovation in drugs and rules and regulations in the manufacture of drugs. At Verizon I got a chance to work and Implement path breaking prot ocols like ‘Voice Over IP’ which was a very strategic product as all of Verizon’s future voice products will be based on this platform.I played an instrumental role in creating a prototype for VOIP which was based on SIP technology. My work also led me to create a framework for testing Verizon’s VOIP Client for real world scenarios by adding jitter, delay and packet loss using NIST NET Software and being able to compare it with other clients such as Google, MSN and Yahoo etc. The proposed prototype for VOIP was very well accepted and is currently in use at Verizon. Technical excellence explains why India was identified by 82 per cent of American companies as their top destination for software outsourcing, according to a World Bank survey.My education and work experience have intensified my thirst for Masters’ in Information Systems. Second version I had just finished my Bachelors’ in Commerce and was weighing different options of future study that would serve my career best. This was twelve years back and I was one of the fortunate many who were aware of the outsourcing story in India. US Multinationals were off shoring more and more large software projects to India.There was a tremendous shortage of computer skills in the world and India, which foresaw this stepped in to fill the gap India was leveraging its most valuable resource, that of highly skilled manpower These facts stared at all young aspirants who were looking at a bright future career and I decided to make the most of this opportunity by entering the Information Technology sphere to enhance my skills and improve myself. The thirst is not over as yet and I am applying for Masters’ today after relevant exposure and experience. Right from High School., I had a way with numbers and this made me get an A in Mathematics in my High School, and very good grades in my Accounts, Costing and Statistics in B. COM. This aptitude and confidence in my quantitative skills made me choose the field of Computers where I knew a person’s logical thinking was the key to success. I got my Post Graduate Diploma in Computer Sciences from Comp-U-Serve, a professional organization. I cleared my Microsoft Certified Professional exams and also did a course at Harvard University in Advance networking and secured an A.I started my career as a Systems Administrator and Training Faculty with a Computer Training Institute called Wintech Computers where I learnt a lot about real world computing in Java and Networking. My next learning curve took me to General Electric which gave me a totally different perspective. I was appointed as a Client Services Analyst for one of the world’s first off-shoring trials of Network Operations to India, where I had to study Information Systems and Network Operations in the United States and off shore the whole process to my peers in India.My experience in the course of my first interaction with GE Plastics was uniq ue Later, I joined a start up IT consulting firm in the United States, Mascon Global Consulting. I have been with this firm for the past 6 years and have helped clients like Novartis Pharmaceuticals, Verizon and McGraw Hill with implementing various IT solutions Novartis gave me exposure to how information Systems could be used for purposes of research, of innovation in drugs and rules and regulations in the manufacture of drugs.At Verizon I got a chance to work and Implement path breaking protocols like ‘Voice Over IP’ which was a very strategic product as all of Verizon’s future voice products would be based on this platform. I played an instrumental role in creating a prototype for VOIP which was based on SIP technology. My work also led me to create a framework for testing Verizon’s VOIP Client for real world scenarios by adding jitter, delay and packet loss using NIST NET Software and being able to compare it with other clients such as Google, MSN and Yahoo etc.The proposed prototype for VOIP was very well accepted and is currently in use at Verizon. Technical excellence explains why India was identified by 82 per cent of American companies as their top destination for software outsourcing, according to a World Bank survey. My education and work experience have shown me that there is much more to excellence and have intensified my thirst for Masters’ in Information Systems.

Global Chemical Industry

www. moodys. com Rating Methodology Table of Contents: Summary About the Rated Universe About This Rating Methodology The Key Rating Factors Assumptions and Limitations and Rating Considerations That are not Covered in the Grid Conclusion: Summary of the GridIndicated Rating Outcomes Appendix A: Global Chemcial Industry Methodology Factor Grid Appendix B: Methodology GridIndicated Ratings Appendix C: Observations and Outliers for Grid Mapping Appendix D: Chemical Industry Overview Appendix E: Key Rating Issues over the Intermediate Term 1 3 5 8Corporate Finance December 2009 Moody’s Global Global Chemical Industry Summary This rating methodology explains Moody’s approach to assessing credit risk for global chemical companies. This document replaces a previous publication from February 2006. The grid for the rating methodology is substantially unchanged from the 2006 publication, with minor updates to provide greater clarity regarding application of the grid. We also hav e provided a clearer explanation of how ratings in the chemical industry are derived.This publication is intended to provide a reference tool that can be used when evaluating credit profiles within the global chemical industry, helping issuers, investors, and other interested market participants understand how key qualitative and quantitative risk characteristics are likely to affect rating outcomes. This methodology does not include an exhaustive treatment of all factors that are reflected in Moody’s ratings but should enable the reader to understand the qualitative considerations and financial ratios that are most important for ratings in this sector.This report includes a detailed rating grid and illustrative mapping of each rated company in a representative sample of companies against the factors in the grid. The purpose of the rating grid is to provide a reference tool that can be used to approximate credit profiles within the chemical industry sector. The grid provides summarized guidance for the factors that are generally most important in assigning ratings to chemical companies. The grid is a summary that does not include every rating consideration, and our illustrative mapping uses historical results while our ratings methodology also considers forward-looking expectations.As a result, the grid-indicated rating is not expected to match the actual rating of each company. 17 18 19 20 21 26 27 Analyst Contacts: New York 1. 212. 553. 1653 William Reed Vice President -Senior Credit Officer John Rogers Senior Vice President James Wilkins Vice President -Senior Analyst Steven Wood Senior Vice President Tokyo 81. 35408. 4100 Noriko Kosaka Vice President -Senior Analyst Analyst Contacts continued on last page Rating Methodology Moody’s Global Corporate Finance Global Chemical IndustryThe grid contains five key factors that are important in our assessments for ratings in the global chemical sector: 1. Business Profile 2. Size & Stability 3. Cost P osition 4. Leverage / Financial Policies 5. Financial Strength Each of these factors also encompasses a number of sub-factors or metrics, which we explain in detail. Since an issuer’s scoring on a particular grid factor often will not match its overall rating, in the Appendix we include a brief discussion of â€Å"outliers† – companies whose grid-indicated rating for a specific factor differs significantly from the actual rating.This rating methodology is not intended to be an exhaustive discussion of all factors that Moody’s analysts consider in ratings in this sector. We note that our analysis for ratings in this sector covers factors that are common across all industries (such as ownership, management, liquidity, legal structure in the corporate organization, and corporate governance) as well as factors that can be meaningful on a company specific basis. Our ratings consider qualitative considerations and factors that do not lend themselves to a transp arent presentation in a grid format.The grid represents a compromise between greater complexity, which would result in grid-indicated ratings that map more closely to actual ratings, and simplicity, which enhances a transparent presentation of the factors that are most important for ratings in this sector most of the time. Because this methodology applies globally, it is necessarily general in some respects and is not intended to be an exhaustive and country-specific discussion of all factors that Moody’s analysts consider in every rating.Moody’s rating approach considers country-specific differences and at the same time allows for qualitative evaluation of these factors as well as other factors that cannot be easily presented in grid format. Highlights of this report include: ? ? ? An overview of our rated universe. A description of the key factors that drive rating quality. Comments on the rating methodology’s assumptions and limitations, including a discussio n on other rating considerations that are not included in the grid.The Appendices show the rating grid criteria on one page (Appendix A), tables that illustrate the application of the methodology grid to 20 representative rated chemical companies (Appendix B) with explanatory comments on some of the more significant differences between the grid-implied rating and our actual rating (Appendix C), a brief industry overview (Appendix D), and a discussion of key rating issues for the chemical sector over the intermediate term (Appendix E). 2 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate FinanceGlobal Chemical Industry About the Rated Universe Moody's rates 107 companies globally in the chemicals and allied industries. In the aggregate, these issuers have approximately $230 billion of rated debt. Our definition of the chemical industry includes a variety of related industrie s, such as: ? ? ? ? ? ? ? ? ? ? ? ? Commodity organic and inorganic chemicals ? Specialty chemicals ? Plastics, resins and elastomers ? Fertilizers, agricultural chemicals and seeds ? Industrial gases ? Architectural and industrial coatings ? Flavors and fragrances ? Other food ingredients ? Pharmaceutical intermediates ?Organometallics ? Specialty materials produced from refinery by-products ? Specialty materials that are used in composites ? These companies develop and produce a wide variety of products including basic chemicals, specialty materials, and industrial gases. Products range from true commodities to highly customized products used in technically demanding applications. The rated universe is spread throughout the world with the highest concentrations in the Americas (68), Europe (24) and Middle East/Asia (15). Companies range in size from as large as $40 billion in revenues to as small as $100 million.Some may be multinational with numerous manufacturing locations aroun d the globe, while others may operate a single facility with domestic customers only. The highly volatile nature of the industry as well as fairly high levels of business risk make it increasingly difficult for all but a select few companies who are extremely large and diversified to achieve and maintain a Aa rating. Ratings of A3 or above are generally limited to larger companies or to smaller specialty companies that exhibit uncommon stability in financial performance and relatively low business risk.The Corporate Family Rating (CFR) or senior unsecured ratings of the covered issuers range from Aa2 to Caa2 with a concentration in the Baa, Ba and B rating categories. The median rating for chemical companies is Ba1. The vast majority of companies – 81 out of 107, approximately 76%, are in the Baa (27), Ba (26), and B (28) range because of the cyclical nature of the industry and our view of the industry’s moderate to high business risk. 3 December 2009 ? Rating Methodol ogy ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate FinanceGlobal Chemical Industry Exhibit 1: Global Chemical Rating Distribution 2009 and 2006 Chemical Industry Ratings Distribution 25 Number of Issuers 20 15 10 5 0 Aa2 Aa3 A1 A2 A3 Baa1 Baa2 Baa3 Ba1 Ba2 Ba3 Ratings 2009 – 107 com panies 2006 – 111 com panies B1 B2 B3 Caa1 Caa2 Caa3 Over the last ten years, in Europe and in the US, a growing number of speculative grade names have been added to the rated universe. This is attributable in part to incumbents' recent strategic efforts to focus on their core businesses by selling non-core assets as well as to a growing interest from private equity sponsors.For the purpose of this methodology we have identified 20 representative issuers out of the companies that we rate globally. These issuers represent both investment grade and speculative grade issuers. The criteria used to select the 20 focu sed on the larger, in terms of revenues, well-known issuers. For this reason the proportion of investment grade to non-investment grade issuers represented is higher than it is in the rated universe. 4 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate FinanceGlobal Chemical Industry Exhibit 2 Global Chemical Rating Methodology Representative Sample Company Name 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Shin-Etsu Chemical Company Ltd BASF (SE) E. I. du Pont de Nemours and Company Kaneka Corporation Teijin Limited Bayer AG Akzo Nobel N. V. Potash Corporation of Saskatchewan Inc. Rating Aa3 A1 A2 A2 A3 A3 Baa1 Baa1 Baa1 Baa2 Baa2 Baa3 Ba1 Ba2 Ba3 Ba3 B1 B1 B1 B3 Outlook Stable Stable Negative Stable Negative Stable Negative Stable Stable Stable Stable Negative Stable Positive Stable Stable Stable Stable Positive NegativeApprox Debt millions $189 $21,347 $7,545 $293 $ 2,143 $20,215 $5,233 $3,082 $2,716 $1,441 $1,971 $23,073 $4,456 $3,390 $3,156 $1,217 $1,904 $4,681 $423 $3,451 LG Chem, Ltd. Eastman Chemical Company Yara International ASA The Dow Chemical Company Braskem SA Celanese Corporation Nalco Company ISP Chemco LLC NOVA Chemicals Company Huntsman Corporation PolyOne Corp Hexion Specialty Chemicals Inc. About This Rating Methodology This report explains the rating methodology for chemical companies in six sections, which are summarized as follows: 1.Identification of Key Rating Factors The grid in this rating methodology focuses on five key rating factors. These five broad factors are further broken down into eleven sub-factors that are equally weighted. 5 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry Factor Weighting Sub-Factor Weighting Rating Factor Relevant Sub-factor Operational Diversity Product Diversity Geographic Diversity Factor 1: Business Profile 9. 09%Commodity/Specialty Market Shares Raw Material Access Government Impact Revenues 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% 9. 09% Factor 2: Size & Stability 27. 27% Divisions of Equal Size Stability of EBITDA Factor 3: Cost Position 18. 18% EBITDA Margin (5 yr Avg. ) ROA – EBIT / Avg. Assets (5 yr Avg. ) Factor 4: Leverage / Financial Policies 18. 18% Current Debt / Capital* Debt / EBITDA (5 yr Avg. )* EBITDA/ Interest Expense Factor 5: Financial Strength 27. 27% Retained Cash Flow/Debt (5 yr Avg. )* Free Cash Flow (FCF) /Debt (5 yr Avg. * *Where appropriate net adjusted debt may be used (see discussion of Cash Balances and Net Debt Considerations) 2. Measurement of the Key Rating Factors We explain below how the sub-factors for each factor are calculated. We also explain the rationale for using specific rating metrics, and the ways in which we apply them during the rating process. Mu ch of the information used in assessing performance for the sub-factors is found in or calculated using the company’s financial statements; others are derived from observations or stimates by Moody’s analysts. Moody’s ratings are forward-looking and incorporate our expectations of future financial and operating performance. We use both historical and projected financial results in the methodology and the rating process. Historical results help us to understand patterns and trends for a company’s performance as well as for peer comparison. While the rating process includes both historical and anticipated results, this document makes use of historical data only to illustrate the application of the rating methodology.Specifically, unless otherwise stated, the mapping examples in this report use reported financials for the last three audited fiscal years. All of the quantitative credit metrics incorporate Moody’s standard adjustments to income statemen t, cash flow statement and balance sheet amounts for, among others, off-balance sheet accounts, receivable securitization programs, under-funded pension obligations, and recurring operating leases. Note: For definitions of Moody's most common ratio terms please see Moody’s Basic Definitions for Credit Statistics, User’s Guide which can be found at www. oodys. com in the Research and Ratings directory, in the Special Reports subdirectory (07 June 2007, document #78480/SP4467). 3. Mapping Factors to the Rating Categories After identifying the measurements for each factor, the potential outcomes for each of the 11 sub-factors are mapped to a broad Moody’s rating category. (Aaa, Aa, A, Baa, Ba, B, Caa, Ca). 6 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry 4.Mapping Issuers to the Grid and Discussion of Grid Outliers In t his section (Appendix C) we provide tables showing how each company maps to grid-indicated ratings for each rating sub-factor and factor. The weighted average of the sub-factor ratings produces a grid-indicated rating for each factor. We highlight companies whose grid-indicated performance on a specific sub-factor is two or more broad rating categories higher or lower than its actual rating and discuss general reasons for such positive outliers and negative outliers for a particular factor or sub-factor. . Assumptions and Limitations and Rating Considerations That are not Included in the Grid This section discusses limitations in the use of the grid to map against actual ratings, additional factors that are not included in the grid that can be important in determining ratings, and limitations and key assumptions that pertain to the overall rating methodology. 6. Determining the Overall Grid-Indicated Rating To determine the overall rating, we convert each of the 11 factor ratings in to a numeric value based upon the scale below.Aaa 6 Aa 5 A 4 Baa 3 Ba 2 B 1 Caa 0 Ca -1 The numerical score for each factor is weighted equally with the results then summed, and divided by 11, to produce a total factor score. The total factor score is then mapped back to an alphanumeric rating based on the ranges in the table below. Grid-Indicated Rating Aaa Aa1 Aa2 Aa3 A1 A2 A3 Baa1 Baa2 Baa3 Ba1 Ba2 Ba3 B1 B2 B3 Caa1 Caa2 Caa3 Ca Total Factor Score X ? 5. 50 5. 17 ? X ; 5. 50 4. 83 ? X ; 5. 17 4. 50 ? X ; 4. 83 4. 17 ? X ; 4. 50 3. 83 ? X ; 4. 17 3. 0 ? X ; 3. 83 3. 17 ? X ; 3. 50 2. 83 ? X ; 3. 17 2. 50 ? X ; 2. 83 2. 17 ? X ; 2. 50 1. 83 ? X ; 2. 17 1. 50 ? X ; 1. 83 1. 17 ? X ; 1. 5 0. 83 ? X ; 1. 17 0. 50 ? X ; 0. 83 0. 33 ? X ; 0. 50 0. 17 ? X ; 0. 33 0. 0 ? X ; 0. 17 x ; 0. 0 7 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry For e xample, an issuer with a composite weighted factor score of 1. 5 would have a Ba2 grid-indicated rating. We used a similar procedure to derive the grid-indicating ratings in the tables embedded in the discussion of each of the five broad rating factors. The Key Rating Factors Moody’s analysis of chemical companies focuses on five broad factors: ? ? ? ? ? Business Profile Size & Stability Cost Position Leverage / Financial Policies Financial Strength Factor 1: Business Profile (9. 09% weight) Why It Matters Business Profile is an important indicator of credit quality.The chemical team at Moody's looks at seven factors and aggregates them into a single score which is then mapped to a specific rating. The first three factors focus on diversity. Diversity, whether it be operational, product, or geographic, is a key component of business position that, can help mitigate the volatility in financial performance characteristic of the chemical sector. 1. Operational Diversity Single s ite locations, as an indicator of operational diversity, can expose a company to the prospect of unanticipated down times.We note that this factor is extremely important. Where a company operates a single site, the risk of that single site failing is deemed to have such a catastrophic impact on the business model that even the prospect of site insurance or business interruption insurance will not provide sufficient mitigation against the potential effects of a fundamental failure of the site. 2. Diverse Product Lines Diverse product lines can help stem volatility in cash flows to the extent that different products can have varied pricing dynamics. 3. Geographic DiversityGeographic diversity can also be beneficial as a company with multiple plant sites can still be negatively affected by both economic and weather related events. 4. Commodity Versus Value Added Products In the chemical sector commodity players are typically more volatile in terms of cash flow generation whereas the va lue added producers often produce more stable cash flows. At times, today's value added producers can become more commodity-like in their cash flow generating capabilities, so we will carefully assess where a product or group of products may be in its life cycle. 5.Market Share or Unique Competitive Advantage Large market share suggests a sustainable business position with the proven ability to weather the volatile market conditions in the chemical cycle. In some instances companies with large market shares will adjust their production volumes to help balance the supply and demand dynamics in the markets served as a means to stabilize product pricing. Market share that is protected by patent and unique licensing restrictions can also be a strong, positive contributor to stable cash flows and performance. 8 December 2009 ? Rating Methodology ?Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Che mical Industry 6. Exposure to Volatile Raw Materials Raw material exposures greater than 33% in terms of cost of goods sold, for example, can often result in dramatic swings in cash flow. This is especially true in times of supply/demand imbalances, which can create shortages in raw materials and exaggerate raw material price movements. Companies with the ability and foresight to locate their production facilities in areas of the world where they can benefit from long term fixed riced raw materials have a distinct advantage over companies that are subject to the vagaries of the raw material spot markets. 7. Impact of Government Regulation The final factor we assess is the positive or negative impact of government regulation. This factor addresses the positive or negative role that government regulation or policy may have on an individual company or sector of the chemical industry. For many companies, the impact of government regulation may be neutral. For some sectors, such as the e thanol sector in the U. S. the very existence of the sector is a function of government legislated policy. In still other instances, the government has sought to ban the use of certain products – such as MTBE – in some markets. This factor is also extremely important and we will, as explained below, overweight it when assessing companies for whom government regulations/mandates are, essentially, the sole driver for the business model. How We Measure it for the Grid The 7 Business Profile criteria are merged into an assessment score, as follows: Business Profile Assessment Score This score is made up of seven criteria.To each we assign a discrete numerical value. The values across the criteria range from (-2) to 2 with many coming in at 0 or 1. Moody's analysts may use a modifier of 0. 5 across the seven criteria to refine the score relative to other companies in the industry. These values are totaled into a score which is then mapped to a rating category in the followi ng manner: Aaa Aa A Baa Ba B Caa Ca = = = = = = = = > 6. 0 > 4. 5 to < 6. 0 > 3. 5 to < 4. 5 > 2. 5 to < 3. 5 > 1. 5 to < 2. 5 > 0. 5 to < 1. 5 > – 0. 5 to < 0. 5 < – 0. 5 ?Operational diversity – We count the number of discrete operating plants that have a globally competitive scale. A (-2) is assigned for 1 or 2 plants, a 0 is assigned for 2 – 8 plants and a 1 is assigned if there are greater than 8 large manufacturing locations. This is one of three factors with a negative score given the importance we assign to operational diversity. A sole site simply leaves the company with too many eggs in one basket. Product diversity – We assign a 0 if a majority of cash flow is generated from 1-2 key product lines and a 1 if a company relies on 3 or more product lines or product categories.Geographic diversity – We assign a 0 if a majority of the production assets are primarily in a single geographic region and assign a 1 if production assets are i n multiple regions Commodity versus value added products – We assign a 0 if a majority of sales are primarily commodity products and assign a 1 if we view products as adding distinct unique additional value. Quantitative factors such as stability of EBITDA and EBITDA margins are used later as another component in the measurement of this important factor. ? ? ? 9 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical IndustryRating Methodology Moody’s Global Corporate Finance Global Chemical Industry ? Market share – We assign a 0 if a market share is inconsequential relative to the next three largest competitors and assign a 1 if a sector or company has large share or few real competitors. We would assign a 2 if the company has a unique competitive advantage (patents, know-how, etc. ) that could reduce competition significantly. Market share assessments are driven by the definition of the markets served. Definitions should be wide enough to represent legitimate alternative products.Raw material access – We assign a (-1) or (-2) if we estimate exposure to volatile raw material costs at greater than 33% of costs of goods sold. We assign a 0 if exposure to volatile raw materials costs is from 10% to 33% of costs of good sold. We assign a 1 if the exposure to raw materials is less than 10% and a 2 if the company has a material, demonstrable, long-lived feedstock advantage. Given the importance of raw material inputs to ultimate cash flows this metric is vitally important. It is one of three metrics with a possible negative value. Given the importance of this metric, the value can go as high as 2.Impact of governmental regulations or policies – For companies subject to significant government regulations or sensitive to changes in government policies, we assign a score reflecting the positive or negative impact of these regulations/policies on the companies' long term financial perform ance. Most of the companies in this industry will score a 0. Ethanol producers in the US would be assigned a (-1) because of their reliance on government regulation to create demand for the product. Companies that would be positively affected over the long term by government regulations could be assigned a 1. ? The importance of the business profile score is highlighted by the fact that, in certain cases, it can outweigh all other factors in the methodology, materially lowering ratings. The two most prominent examples are: operations limited to a single site and a business model whose success is highly or solely dependent on government actions or policies. Factor 1: Business Profile (9. 09%) Weight a) Business Position Assessment 9. 09% Aaa ? 6. 0 Aa 4. 5 – 6. 0 A 3. 5 – 4. 5 Baa 2. 5 – 3. 5 Ba 1. 5 – 2. 5 B 0. 5 – 1. 5 Caa – 0. 5 – 0. 5 Ca ; – 0. 5A chart that illustrates grid mapping results for Factor 1 and a discussion of o utliers for companies in the sample is included in Appendix C. Factor 2: Size & Stability (27. 27% weight) Why It Matters This factor includes discrete quantitative measures that attempt to measure size, diversity and the stability of a business model. Large revenues combined with large divisions as well as a long history of stable performance suggest sustainable business positions that have been and will be able to demonstrably weather the vagaries of capital and economic cycles. SizeSize can suggest the ability to benefit from much needed economies of scale both in production and access to raw materials on a preferred basis. In addition, size suggests the ability to service large customers globally — an important attribute as many customers step up efforts to reduce the number of their suppliers. Size also tends to favor the companies that sovereigns, government related entities, and other large companies choose as their joint venture partners or technology suppliers of che micals that add important value added properties to customer’s products. Number of DivisionsThe presence of multiple large divisions typically signals a balanced diversified product portfolio and, by extension, more stable cash flows. Companies with high product concentration may exhibit more volatile cash flows and may be more vulnerable to one time events that can be damaging to credit quality. Multiple divisions also provide for discrete assets that can be sold as necessary to provide alternate liquidity. Larger companies 10 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate FinanceGlobal Chemical Industry with many divisions can, for example, sell weaker performing or non-core segments, with the sale proceeds providing funding for debt reduction or growth in other segments. Stability of Business Model (Stability of EBITDA) Given the diversity of this industry, we attempt to gauge the likely level of volatility in earnings and cash flow. Companies with elevated levels of volatility in earnings and cash flow will require better liquidity and more robust financial metrics, on average, to compensate for uncertainty over the magnitude and duration of potential downturns.We analyze the volatility of EBITDA over a long period of time (7-10 years, when the data is available) to get an estimation of the expected volatility of the company relative to its peers in the industry. While there are many problems associated with the use of EBITDA as a measure of either profitability or cash flow, EBITDA is typically less affected by extraordinary items, fluctuations in working capital, and capital spending on new capacity than other measures of cash flow. It also allows us to remove the potential impact from differences in capital intensity across the industry.To the extent that a company's EBITDA may contain unusual items, or items that we judge to be one- time, the reported data may be adjusted to improve the quality of the analysis and hence get a better view of the true volatility of the company relative to its peers in the industry. When companies have completed a transformational acquisition or divestiture, or if seven years of data is otherwise unavailable, we estimate this metric based on a comparison to other rated companies and attempt to adjust for differences in product or geographic mix, as well as the impact of feedstock advantages or disadvantages.A transforming transaction is typically defined as the acquisition or divestiture of assets that comprise more that 1/3 of the pre-transaction EBITDA. While we measure the past 7-10 years of data, we would emphasize that our ratings are a forward view informed by historical volatility. To the extent we believe that future performance might deviate from historical patterns, we will modify this factor. How We Measure it for the Grid Size Measured by Revenues We use the most recen t annual revenues or latest 12 month reported revenues.The current year's revenues obviously can be either understated or overstated subject to where the company is in the commodity price cycle. While the commodity price cycle may be different for various companies, this metric measures all companies, by and large, at the same point in the economic cycle. For companies whose revenues are on the border between two ratings categories, the analyst would consider the point in the commodity price cycle at which the measurement is taken and the estimate of future revenues. Divisions with Revenues of Equal Relative SizeThis factor can be captured from financial statements. We use the segment information found in the most recent quarterly report on a latest four quarter basis. We are attempting again to capture both diversity as well as scale. The analyst may adjust segment revenues manually to adjust for non-ordinary items or non-public segment information provided by management. For compa nies whose divisional revenues are volatile and subject to cycles, the analyst would again consider the point in the pricing cycle at which the measurement is taken.Our focus is to measure diversity of revenue streams. For a company with $1 billion in revenues – if all revenues come from a sole division/product it would map to a B. If there were four discrete divisions with $250 million in revenues each (essentially equal in size) it would map to a Baa. For a company with $10 billion in revenues with four discrete divisions/products, if two divisions had $3 billion in revenues each and 2 divisions had $2 billion in revenues each – it would still be judged to be relatively diverse and equate to a Baa. 1 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry Stability of EBITDA This factor is measured by the normalized standard error of the company's EBITDA as determined by a least squares regression on seven to ten years of data. We utilize standard error rather than standard deviation as it is much better at differentiating between commodity and specialty chemical companies.Standard deviation is a static measure that cannot clearly differentiate between a stable company growing over time and a commodity company whose volatility is induced by changes in its cash margins. Standard error is a statistical measure of the difference between the company's actual performance versus a theoretical line drawn through the data (hence normal growth in EBITDA over 7-10 years should not have a negative impact on this metric). The normalized standard error is obtained by dividing the standard error obtained from a linear regression by the average EBITDA over the period analyzed.This allows us to compare the standard error of large companies to much smaller companies This measurement is designed to capture two types of stabil ity: For smaller companies – The stability of business or businesses relative to other companies in the industry. The absolute size of a company is not considered. For larger companies – A very large or diverse commodity company may exhibit more stability based on the number of businesses in its portfolio, especially if the earnings of their individual businesses are not correlated (i. e. , all businesses don't go into a downturn or upturn at the same time).In statistical terms, if the covariance of the company’s businesses is low, the company's performance should be more stable although it may be an inherently cyclical commodity chemical business. Companies with a normalized standardized error above 40% (which maps to the Caa category) are most common for companies with very low or negative EBITDA at the bottom of a downturn. Factor 2: Size & Stability (27. 27%) Weight a) Revenue (Billions of US$) b) # of Divisions of Equal Size c) Stability of EBITDA 9. 09% 9. 09% 9. 09% Aaa ? $50 8 ; 2% Aa $20 – $50 6 to 7 2% – 6% A $10 – $20 5 6% – 12%Baa $5 – $10 4 12% – 20% Ba $1 – $5 2 or 3 20% – 30% B $. 2 – $1 1 or 2 30% – 40% Caa $. 1 – $. 2 1 40% – 60% Ca ; $. 1 0. 5 ? 60. 0% A chart that illustrates grid mapping results for Factor 2 and a discussion of outliers for companies in the sample is included in Appendix C. Factor 3: Cost Position (18. 18% weight) Why It Matters Relative cost position is a critical success factor for a chemical company because, in a downturn, (either cyclical or economic) prices often decline to the point where only companies with first and second quartile cash costs generate meaningful cash flow.Operating cost positions are a function of criteria that include size, access to low cost raw material inputs, location of assets, labor rates, and capital invested. Further, with low levels of financial leverage, low cost producers are typicall y better positioned to outperform competitors. Low cost producers, with low leverage, are better able to survive in a downturn and are also better positioned to grow when opportunities arise. A company's cash costs and its position on the industry cost curve, as well as the overall shape of the industry cost curve, are all valuable information.However, true cash cost curve data, while useful, is often proprietary or may be the property of various consultants and difficult to verify. 12 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry Comparisons across the wide variety of commodity and specialty chemical companies make it difficult to rely on relative or absolute costs for ranking companies. We use two measures in addition to information provided by companies to assess cost positions: ? ?EBITDA Margin Return on Average Assets How We Measur e it for the Grid EBITDA Margin This factor is used in part to gauge the quality of the pricing power a company has and is likely to achieve. It is measured using EBITDA, which includes recurring â€Å"other† income and excludes non-recurring â€Å"other† income and one time charges. This factor, along with several others, is an important measure of a company's profitability in multiple economic scenarios. We use the past three years' actual results along with our expectation for the next two years, and to consider the average as well as the high and low points.For illustrative purposes the measurement used in the company examples herein is based on an average of the past three years' EBITDA margin. The choice of EBITDA, versus EBIT, is driven in part by the many and varied depreciation polices used globally and the need for comparability between regions. Nonetheless, we recognize the weaknesses of EBITDA, discussed below, and analysts within regions will also evaluate EBIT margins as well. Another reason for the use of EBITDA is the aterial difference in capital intensity within sub-sectors of the chemical industry. The capital intensity of a large commodity company can be very different from a smaller specialty player. The use of EBITDA – as opposed to EBIT – has a disadvantage in that EBITDA fails to address the capital intensity of the chemical industry effectively. Clearly an important indicator of a company's ability to generate operating profit should be assessed after the costs of plant maintenance and capacity expansion, as represented by its annual depreciation charges.Experience indicates that while a chemical company's capital spending often swings with major projects, it will generally need to spend its depreciation over time as it maintains and develops new facilities. We attempt to capture the effect of this capital intensity in our use of free cash flow metrics in the financial strength rating factor discussion. Retu rn on Average Assets This is a strong measure of a company's ability to generate a consistent and meaningful return from its asset base. This metric specifically takes into account the capital intensive nature of the industry.This is also a five-year average measurement using the past three years of actual results along with our expectation for the next two years. We use total assets, less cash and short term investments rather than tangible assets to provide a more meaningful measure for the universe of speculative grade companies. Factor 3: Cost Position (18. 18%) Weight a) EBITDA Margin b) ROA – EBIT / Assets 9. 09% 9. 09% Aaa ? 30% ? 25% Aa 20% – 30% 15% – 25% A 15% – 20% 10% – 15% Baa 10% – 15% 7% – 10% Ba 8% – 10% 4% – 7% B 4% – 8% 2% – 4% Caa 1% – 4% 0. 5% – 2% Ca < 1% < 0. 5%A chart that illustrates grid mapping results for Factor 3 and a discussion of outliers for companies in the sam ple is included in Appendix C. 13 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry Factor 4: Leverage / Financial Policies (18. 18% weight) Why It Matters Management's willingness to enhance shareholder value via debt financed acquisitions and/or share repurchases, is likely to increase credit risk. The chemical industry is particularly vulnerable given its volatile nature.We learn about financial policies through a discussion with management that includes hypothetical scenarios. Such meetings often examine management's willingness to stretch its balance sheet and/or financial flexibility. The hypothetical situations often relate to acquisitions or share repurchase appetites. Concerning acquisitions, discussions often focus on size and on the combination of debt and/or equity that will be used to fund a growth initiative. Another key conce rn is management's approach to managing financial flexibility through a range of cycles.Specifically we look for an approach that emphasizes preparedness for lean times such that strong cash flows, when available, are used to reduce debt. Measurement of leverage and financial policies is based on two different estimates of leverage: current debt to capitalization, and debt to EBITDA. We believe that the amount of leverage with which management operates is a choice and a direct result of a company's financial strategy. Issuers, particularly those in the investment grade and high Ba rating categories, often actively manage to these ratios.Certainly these ratios, especially debt to EBITDA, are used by providers of capital in the form of specific covenant tests. Debt to capital is a simple way to compare the capital structure of companies operating within an industry, and managements often claim to manage to it. This metric is also a way to assess management's willingness to grow via de bt financed acquisitions. The debt to EBITDA ratio is a measure that balances the debt to capitalization ratio with a measurement of a company's ability to generate EBITDA both in times of peak pricing and in times of stress.We believe these two metrics provide insight into the company's financial policies, including its tolerance for debt and the ability of the company to ride out the highs and low of a cycle. How We Measure it for the Grid Debt to Capital This factor can be easily captured from financial statements using the most recent annual or quarterly debt and equity balances (incorporating our standard adjustments). There are certainly situations where this metric becomes less useful — particularly in the case of LBOs or spinouts wherein book equity is low or nonexistent. In these instances this metric could be given reduced weight.In the event that a company's book equity is extremely low and the stock is publicly traded, the analyst may use the market capital of the company in place of book equity in this ratio. While market capital has its own weaknesses and can be very volatile, this approach can be of some value. Debt to EBITDA For this measure we use a five-year average of the annual debt and EBITDA balances as shown on the financial statements. We look back three years and use estimates to make assumptions for two years going forward. Factor 4: Leverage / Financial Policies (18. 18%) * Weight a) Current Debt / Capital b) Debt / EBITDA 9. 09% 9. 09% Aaa lt; 15% < . 5x Aa 15% – 25% . 5x – 1. 5x A 25% – 35% 1. 5x – 2. 25x Baa 35% – 50% 2. 25x – 3x Ba 50% – 70% 3x – 4x B 70% – 80% 4x – 6x Caa 80% – 95% 6x – 8x Ca ? 95% ? 8x * Where appropriate net adjusted debt may be used (see discussion of Cash Balances and Net Debt Considerations) 14 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodo logy Moody’s Global Corporate Finance Global Chemical Industry A chart that illustrates grid mapping results for Factor 4 and a discussion of outliers for companies in the sample is included in Appendix C. Factor 5: Financial Strength (27. 7% weight) Why It Matters The three key indicators of financial strength are 1) Interest Coverage, 2) Retained Cash Flow to Debt, and 3) Free Cash Flow to Debt. All of these metrics are averaged over five-year periods to address the volatile nature of the industry. Interest coverage: Interest coverage can be particularly meaningful for speculative grade companies. This is especially true if the interest rate environment is in a period of change — such as the migration from lower rates to higher rates — and an issuer is facing the need to refinance debt that is nearing maturity. It is a less important metric for higher-rated companies.The remaining two metrics are useful across the rating spectrum and relate to the amount of ca sh flow available to cover varied scenarios of both operating needs and financing needs. ? ? Operating needs include major items such as working capital and capital spending. Financing needs refers to the impact of dividends and the â€Å"free† cash then available to service debt. As discussed above, the use of EBITDA (as opposed to EBIT) in the interest coverage ratio is important for companies in the chemical industry and the decision to use it is a function of the need to make the ratio more comparable globally.Retained Cash Flow and Free Cash Flow: The cash flow metrics we use measure two different levels of cash flow: retained cash flow and free cash flow and their ratio to total adjusted debt. Retained cash flow is a broader measure of financial flexibility than free cash flow as it excludes the potential ‘noise' created by changes in working capital and unusual capital spending programs. This is a helpful measure given the volatility and the variation in capital intensity within the chemical sector.As with other factors in which debt is involved we can look at these cash flow metrics in two ways — as a percentage of both debt and of net debt (net of cash balances). We use net debt for companies at which it is either a stated, long-lived policy to hold material cash balances or for which there may be unique scenarios such as recent asset sales whereby cash may be earmarked for use in debt reduction efforts. In some specific instances we may use a net debt denominator for the free cash flow metric as well. A more detailed discussion of our views on cash balances appears below.Free cash flow is, in many instances, one of the most important and reliable measures of financial strength and flexibility. This metric reflects a company's primary source of liquidity as it directly speaks to management's ability to service its debt burden after considering both its operating and financial commitments to shareholders. In this metric we often ide ntify where capital spending programs may be extraordinarily large and/or risky. At times, programs can have a direct impact on ratings because of the size of expenditure that may be involved as well as the risks of executing the program on time and on budget.If, for example, a large amount of capital is spent on new greenfield capacity and we believe that such capacity is being added at a time when product prices are low (i. e. , there is a lack of an adequate return on capital) the ratings may be negatively affected. There is also the risk that anticipated operating cash cost benefits upon project completion are different than expected. 15 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry How We Measure it for the GridInterest coverage This metric is a straightforward look at EBITDA (adjusted for non-recurring other income and one-time ch arges) to gross interest expense (including capitalized interest). This is a five-year measure. Cash Flow to Debt ? Retained Cash Flow to Debt – Defined as funds from operations (FFO) minus dividends, as a percentage of total debt. This is a five-year measure. Free Cash Flow to Debt – Defined as cash flow from operations (by its nature operating cash flow is determined after taking into account working capital) minus capital spending and dividends, as a percentage of total debt.This is a five-year measure. ? Cash Balances and Net Debt Considerations Typically, analysts approach the use of cash balances and the use of cash in â€Å"net debt† calculations in a conservative fashion. As a general rule we would not typically consider cash on the balance sheet as a true offset to adjusted total debt in for the purpose of ratio analysis. Reasons that we would not look at cash on the balance sheet as fungible for the debt include concern that: ? the cash is easily used for other purposes and debt reduction is only counted hen debt is permanently reduced in some instances cash is actually needed to fund the day-to-day operations of the issuer the cash is â€Å"stranded' overseas and subject to material taxes such that the true cash balance is materially lower than represented in the financial statements there may be other claims on the cash for restructuring efforts or legacy liabilities. ? ? ? There are, however, examples where our analysis for chemical companies incorporates cash balances as providing a measure of offset to adjusted total debt balances. Exceptions to the above analytical approach, for which we give credit for cash balances include: ? he specific refunding of near term debt maturities wherein management borrows in advance to prefund a near term maturity. cash is held temporarily for legal, tax or other purposes and the company has publicly stated its intention to reduce debt once the temporary period has ended. ? Other instances, typically only for large companies, include situations in which management has a history of maintaining material levels of cash on the balance sheet, it has publicly stated its intention not to pursue largedebt financed acquisitions or share repurchases, and cash is accessible without meaningful loss to taxes.In Europe and Latin America, we also generally observe that companies are more willing to maintain higher cash balances that may sometimes be linked to tax considerations or more broadly reflect a more conservative style of financial policies. Considering only gross debt may not reflect the real financial strength of these companies and we may prefer in this case to focus on net debt. In these cases, however, we capture the expectation that these cash balances can be liquidated at least at book value and without tax costs.Factor 5: Financial Strength (27. 27%) * Weight a) EBITDA / Interest Expense b) Retained Cash Flow / Debt c) Free Cash Flow / Debt 9. 09% 9. 09% 9. 09% Aaa ? 20x ? 65% ? 40% Aa 15x – 20x 45% – 65% 25% – 40% A 10x – 15x 30% – 45% 15% – 25% Baa 5x – 10x 20% – 30% 8% – 15% Ba 2x – 5x 10% – 20% 4% – 8% B 1x – 2x 5% – 10% . 5% – 4% Caa 0. 5x – 1x 1% – 5% 0% – . 5% Ca ; 0. 5x ; 1% ; 0% * Where appropriate net adjusted debt may be used (see discussion Cash Balances and Net Debt Considerations) 16 December 2009 ? Rating Methodology ?Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry A chart that illustrates grid mapping results for Factor 5 and a discussion of outliers for companies in the sample is included in Appendix C. Assumptions, Limitations and Rating Considerations not Covered in the Grid The rating methodology grid incorporates a trade-off between simplicity that enhances transparency and greater complexity that would enable the grid to map more closely to actual ratings.The five rating factors in the grid do not constitute an exhaustive treatment of all of the considerations that are important for ratings of global chemical companies. In choosing metrics for this rating methodology grid, we did not include certain important factors that are common to all companies in any industry, such as the quality and experience of management, assessments of corporate governance and the quality of financial reporting and information disclosure.The assessment of these factors can be highly subjective and ranking them by rating category in a grid would, in some cases, suggest too much precision in the relative ranking of particular issuers against all other issuers that are rated in various industry sectors. Ratings may include additional factors that are difficult to quantify or that only have a meaningful effect in differentiating credit quality in some cases. Such factors include regulatory and l itigation risk as well as changes in end use demand such that today’s specialty chemical becomes tomorrow’s commodity.While these are important considerations, it is not possible to precisely express these in the rating methodology grid without making the grid excessively complex and less transparent. Ratings may also reflect circumstances in which the weighting of a particular factor or qualitative issue will be different from the weighting or outcome suggested by the grid. For example, the importance of the business profile score is highlighted by the fact that, in certain cases, it can outweigh all other factors in the methodology materially, lowering ratings significantly. The three most prominent examples are: ? ? operations limited to a single site, and a business model whose success is highly dependent on government actions or policies. a company with significant litigation related to either environmental or product liability issues. This variation in weighting as a rating consideration can also apply to factors that we chose not to attempt to represent in the grid. For example, liquidity is a rating consideration that can sometimes be critical to ratings and under other circumstances may not have a substantial impact in discriminating between two issuers with a similar credit profile.Ratings can be heavily affected by extremely weak liquidity that magnifies default risk. However, two identical companies might be rated the same if their only differentiating feature is that one has a good liquidity position while the other has an extremely good liquidity position. This illustrates some of the limitations for using grid-indicated ratings to predict rating outcomes. Another consideration is the increase in pension underfunding that occurred at the end of 2008 as a result of large declines in the global equity markets.Increased pension fund liability is unlikely to be the sole driver of ratings downgrades where issuers have adequate liquidity, sufficient resources to alleviate their funding deficiency over time and financial metric contraction is modest for their rating category and the metric contraction is expected to only temporarily deviate. In evaluating the impact of an issuer’s pension liability on ratings, the analyst will consider the magnitude of the shortfall, the ability of the company to reduce the shortfall over time using internal sources and committed external sources of capital, and the plans for doing so.Issuers with higher ratings are likely to avoid a downgrade solely resulting from the increased pension liability if there is a clearly articulated plan for reducing the liability and we believe there are resources available to meet the plan without putting the core business and financial profile at risk. Issuers with speculative grade ratings and those at the lower end of investment grade rating levels are at greater risk of ratings transition because of higher potential exposure to liquidity is sues and weaker perceived capability of eradicating the funding liability without weakening the company’s financial or business position. 7 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody’s Global Corporate Finance Global Chemical Industry In addition, our ratings incorporate expectations for future performance, while the financial information that is used to illustrate the mapping in the grid is historical in practice we look at a combination of prior years and future years; usually three years of history and two years looking forward. In some cases, our expectations for future performance may be informed by confidential information that we cannot publish.In other cases, we estimate future results based upon past performance, industry trends, demand and price outlook, competitor actions and other factors. In either case, predicting the future is subject to the risk of substantial i naccuracy. Assumptions that can cause our forward looking expectations to be incorrect include unanticipated changes in any of the following: the macroeconomic environment and general financial market conditions, industry competition, new technology, regulatory actions, and changes in environmental regulation. Conclusion: Summary of the Grid-Indicated Rating OutcomesThe methodology grid-indicated ratings based on last twelve month financial data as of the quarter end closest to September, 30, 2009 map to current assigned ratings as follows (see Appendix B for the details): ? ? 8 companies map to their assigned rating 10 companies have a grid-indicated rating that is one or two alpha-numeric notches from the assigned rating 2 companies have a grid-indicated rating that is three notches from their assigned rating ? Overall, the framework indicates that there are an even number of companies whose grid-indicated rating is below their actual rating (6) than above their actual rating (6). This can be attributed to a variety of factors including: (a) willingness to look through periods of stronger or weaker activity where appropriate; (b) grid metrics do not capture our expectation of lower raw material costs and their benefit to margins and (c) liquidity concerns such as generating cash from working capital in a downturn are not fully captured by the grid. 18 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody's Global Corporate Finance Global Chemical IndustryAppendix A: Global Chemical Industry Methodology Factor Grid Weight Factor 1: Business Profile a) Business Position Assessment Factor 2: Size & Stability a) Revenue (Billions of US$) b) # of Divisions of Equal Size c) Stability of EBITDA Factor 3: Cost Position a) EBITDA Margin b) ROA – EBIT / Assets Factor 4: Leverage / Financial Policies * a) Current Debt / Capital b) Debt / EBITDA Factor 5: Financial Strength * a) EBIT DA / Interest Expense b) Retained Cash Flow / Debt c) Free Cash Flow / Debt 9. 09% 9. 09% 27. 28% 9. 09% 9. 09% 9. 09% 18. 19% 9. 09% 9. 09% 18. 9% 9. 09% 9. 09% 27. 28% 9. 09% 9. 09% 9. 09% ? 20. 0x ? 65. 0% ? 40. 0% 15. 0x – 20. 0x 45. 0% – 65. 0% 25. 0% – 40. 0% 10. 0x – 15. 0x 30. 0% – 45. 0% 15. 0% – 25. 0% 5. 0x – 10. 0x 20. 0% – 30. 0% 8. 0% – 15. 0% 2. 0x – 5. 0x 10. 0% – 20. 0% 4. 0% – 8. 0% 1. 0x – 2. 0x 5. 0% – 10. 0% 0. 5% – 4. 0% 0. 5 – 1. 0x 1. 0% – 5. 0% 0. 0 – 0. 5% < 0. 5x < 1. 0% < 0. 0% < 15. 0% < 0. 50x 15. 0% – 25. 0% 0. 50x – 1. 50x 25. 0% – 35. 0% 1. 50x – 2. 25x 35. 0% – 50. 0% 2. 25x – 3. 00x 50. 0% – 70. 0% 3. 00x – 4. 00x 70. 0% – 80. 0% 4. 00x – 6. 00x 80. 0% – 95. % 6. 00 – 8. 00x ? 95. 0% ? 8. 00x ? 30. 0% ? 25. 0% 20. 0% – 30. 0% 15. 0% â €“ 25. 0% 15. 0% – 20. 0% 10. 0% – 15. 0% 10. 0% – 15. 0% 7. 0% – 10. 0% 8. 0% – 10. 0% 4. 0% – 7. 0% 4. 0% – 8. 0% 2. 0% – 4. 0% 1. 0% – 4. 0% 0. 5% – 2. 0% < 1. 0% < 0. 5% ? $50. 0 8 > 2. 0% $20. 0 – $50. 0 6 to 7 2. 0% – 6. 0% $10. 0 – $20. 0 5 6. 0% – 12. 0% $5. 0 – $10. 0 4 12. 0% – 20. 0% $1. 0 – $5. 0 2 or 3 20. 0% – 30. 0% $0. 2 – 1. 0 1 or 2 30. 0% – 40. 0% $0. 1 – $0. 2 1 40. 0% – 60. 0% < $0. 1 0. 5 ? 60. 0% ? 6. 0 4. 5 – 6. 0 3. 5 – 4. 5 2. 5 – 3. 5 1. 5 – 2. 5 0. – 1. 5 0. 5 – 0. 5 < – 0. 5 Aaa Aa A Baa Ba B Caa Ca * Where appropriate net adjusted debt may be used (see discussion Cash Balances and Net Debt Considerations) 19 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating Methodology Moody's Global Corporate Finance Global Chemical Industry Appendix B: Methodology Grid-Implied Ratings Overall Grid Implied Rating Issuer Moody's Rating Business Profile Size & Stability # of Divisions of Equal Size Baa Aa Aa Aa Aa A A B A Baa Ba Aa Ba B Ba B Caa Ba B Ba Cost PositionLeverage / Financial Policies EBITDA/ Interest Expense (3 Yr) Avg Aaa A A Aaa A Ba Baa Aaa A Baa A A B Ba B Ba B Ba B Ca Financial Strength Retained Cash Flow/ Debt (3 Yr Avg) Aaa A Baa A Ba Ba Ba Aaa A Baa Baa Baa B Ba B Ca Ba Ba Ba Caa Free Cash Flow/ Debt (3 Yr Avg) Ca Baa Ba Ca Ca Ba Ba Aa B B Ba Ba Ca Ba Ba Ca Ba Ca Ba Ca Business Position Assessment Shin-Etsu Chemical Company Ltd BASF (SE) E. I. du Pont de Nemours and Company Revenue (Billions of US$) A Aaa Aa Ba Baa Aa Aa Baa A Baa A Aaa Baa Baa Ba Ba Baa A Ba Baa Stability of EBITDA Baa A Baa Ba Baa A Aa Ca Baa Ba Ba Baa Ba Ba A Baa Ca Ba Ba BaEBITDA Margin % (3 Year Avg) Aaa A A Baa Baa A Baa Aaa Baa A Baa Baa A Aa A A Baa Ba B Ba ROA – EBIT / Assets (3 Yr Avg) A A A Ba Ba Ba Ba Aaa A A A A Baa A Baa A Baa Ba Ba Ba Current Debt/Capital Aaa Baa Ba A Ba Baa Baa Baa Baa Ba Ba Ba B Caa Caa Caa Ba B Caa Ca Debt/ EBITDA (3 Yr Avg) Aaa Aa Baa A Ba Ba Ba Aa A Baa Baa Baa Ba Ba B B B B B Ca Aa3 A1 A2 A2 A3 A3 Baa1 Baa1 Baa1 Baa2 Baa2 Baa3 Ba1 Ba2 Ba3 Ba3 B1 B1 B1 B3 A1 A1 A3 Baa1 Baa3 Baa1 Baa1 A2 Baa1 Baa2 Baa2 A3 Ba3 Ba1 Ba1 Ba3 B1 Ba3 B1 B2 Aa Aa Aa A Aa Aa A A Ba A Baa Aa B Baa A Baa Ca Baa B Baa Kaneka Corporation Teijin Limited Bayer AG Akzo Nobel N.V. Potash Corporation of Saskatchewan LG Chem, Ltd. Eastman Chemical Company Yara International ASA Dow Chemical Company (The) Braskem SA Celanese Corporation Nalco Company ISP Chemco LLC NOVA Chemicals Corporation Huntsman Corporation PolyOne Corporation Hexion Specialty Chemicals Inc. Positive Outlier Negative Outlier For illustrative purposes most financial metrics used the last three full fiscal years of reported data FYs 2006, 2007 and 2008 20 December 2009 ? Rating Methodology ? M oody’s Global Corporate Finance – Global Chemical Industry Rating MethodologyMoody's Global Corporate Finance Global Chemical Industry Appendix C: Observations and Outliers for Grid Mapping Factor 1 – Business Profile The majority of positive outliers for business profile are associated with companies whose financial strength, financial policy measures or liquidity are weakly positioned, providing offsets that are more consistent with the overall ratings. Factor 1: Business Profile Issuer Shin-Etsu Chemical Company Ltd BASF (SE) E. I. du Pont de Nemours and Company Kaneka Corporation Teijin Limited Bayer AG Akzo Nobel N. V. Potash Corporation of Saskatchewan Inc.LG Chem, Ltd. Eastman Chemical Company Yara International ASA Dow Chemical Company (The) Braskem SA Celanese Corporation Nalco Company ISP Chemco LLC NOVA Chemicals Corporation Huntsman Corporation PolyOne Corporation Hexion Specialty Chemicals Inc. Positive Outlier Rating Aa3 A1 A2 A2 A3 A3 Baa1 Baa1 Ba a1 Baa2 Baa2 Baa3 Ba1 Ba2 Ba3 Ba3 B1 B1 B1 B3 Business Position Assessment Aa Aa Aa A Aa Aa A A Ba A Baa Aa B Baa A Baa Ca Baa B Baa Negative Outlier 21 December 2009 ? Rating Methodology ? Moody’s Global Corporate Finance – Global Chemical Industry Rating MethodologyMoody's Global Corporate Finance Global Chemical Industry Factor 2 – Size & Stability Here the majority of positive outliers for revenue are associated with companies whose financial strength, financial policy measures or liquidity are relatively weakly positioned, providing offsets that are more consistent with the overall ratings. The negative outliers are largely related to the stability of EBITDA metric and reflect the volatility of cash flows in certain companies and sectors due to unprecedented high raw material prices and the significant global economic downturn in 2008.Factor 2: Size & Stability Revenue (Billions of US$) A Aaa Aa Ba Baa Aa Aa Baa A Baa A Aaa Baa Baa Ba Ba Baa A Ba Baa Issuer Shin-Etsu Chemical Company Ltd BASF (SE) E. I. du Pont de Nemours and Company Rating Aa3 A1 A2 A2 A3 A3 Baa1 Baa1 Baa1 Baa2 Baa2 Baa3 Ba1 Ba2 Ba3 Ba3 B1 B1 B1 B3 # of Divisions of Equal Size Baa Aa Aa Aa Aa A A B A Baa Ba Aa Ba B Ba B Caa Ba B Ba Stability of EBITDA Baa A Baa Ba Baa A Aa Ca Baa Ba Ba Baa Ba Ba A Baa Ca Ba Ba Ba Kaneka Corporation Teijin Limited Bayer AG Akzo Nobel N. V. Potash Corporation of Saskatchewan Inc. LG Chem, Ltd.Eastman Chemical Company Yara International ASA Dow Chemical Company (The) Braskem SA Celanese Corporation Nalco Company ISP Chemco LLC NOVA Chemicals Corporation Huntsman Corporation PolyOne Corporation Hexion Specialty Chemicals Inc. Positive Outlier Negative Outlier 22 December 2009 ? Rating