Financial Market Essay Example Pdf - Free Essay Example

A commercial bank is a type of financial intermediary and a type of bank. After the Great Depression, the U.S. Congress required banks only engage in banking activities, whereas investment banks were limited to capital market activities. Since the two no longer have to be under separate ownership, some use the term commercial bank to refer to a bank or a division of a bank primarily dealing with deposits and loans from corporations or large businesses. Commercial bank is the term used for a normal bank to distinguish it from an investment bank. This is what people normally call a bank. The term commercial was used to distinguish it from an investment bank. Since the two types of banks no longer have to be separate companies, some have used the term commercial bank to refer to banks which focus mainly on companies. In some English-speaking countries outside North America, the term trading bank was and is used to denote a commercial bank. During the great depression and after the stock market crash of 1929, the U.S. Congress passed the Glass-Steagall Act 1930 (Khambata,1996) requiring that commercial banks only engage in banking activities (accepting deposits and making loans, as well as other fee based services), whereas investment banks were limited to capital markets activities. This separation is no longer mandatory. It raises funds by collecting deposits from businesses and consumers via checkable deposits, savings deposits, and time (or term) deposits. It makes loans to businesses and consumers. It also buys corporate bonds and government bonds. Its primary liabilities are deposits and primary assets are loans and bonds. 10 Commercial banking can also refer to a bank or a division of a bank that mostly deals with deposits and loans from corporations or large businesses, as opposed to normal individual members of the public (retail banking). Origin: The name bank derives from the Italian word banco desk/bench, used during the Renaissance by Florentine bankers, who used to make their transactions above a desk covered by a green tablecloth (de Albuquerque, Martim, 1855). However, there are traces of banking activity even in ancient times. In fact, the word traces its origins back to the Ancient Roman Empire, where moneylenders would set up their stalls in the middle of enclosed courtyards called macella on a long bench called a bancu, from which the words banco and bank are derived. As a moneychanger, the merchant at the bancu did not so much invest money as merely convert the foreign currency into the only legal tender in Rome- that of the Imperial Mint (Matyszak and Philip, 2007). In the most basic terms, commercial banks take deposits from individual and institutional customers, which they then use to extend credit to other customers. They make money by earning more in interest from borrowers than they pay in interest to those whose deposits they accept. Theyre different from investment banks and brokerages in that those kind s of institutions focus on underwriting, selling, and trading corporate and municipal securities. The Balance Sheet: A banks balance sheet is different from that of a typical company. You wont find inventory, accounts receivable, or accounts payable. Instead, under assets, youll see mostly loans and investments, and on the liabilities side, youll see deposits and borrowings. Loans represent the majority of a banks assets (Saunders and Cornett, 2005). A bank can typically earn a higher interest rate on loans than on securities, roughly 6%-8%. Loans, however, come with risk. If the bank makes bad loans to consumers or businesses, the bank will take a hit when those loans arent repaid. Because loans are a banks bread and butter, its critical to understand a banks book of loans. Other assets, including property 11 and equipment, represent only a small fraction of assets. A bank can generate large revenues with very few hard assets. Compare this to some other companies, where plant , property, and equipment (PPE) is a major asset. Surprisingly, cash represents only about 2% of assets. Thats because the bank wants to put its money to work earning interest. If the bank simply sticks its cash in a vault and forgets about it, it will have a hard time making a profit. Thus, a bank keeps most of its money tied up in loans and investments, which are called earning assets in bank-speak because they earn interest. Banks dont like putting their assets into fixed-income securities, because the yield isnt that great. However, investment-grade securities are liquid, and they have higher yields than cash, so its always prudent for a bank to keep securities on hand in case they need to free up some liquidity. Assessing Assets: A banks assets are its meal ticket, so its critical for investors to understand how its assets are invested, how much risk they are taking, and how much liquidity the bank has in securities as a shield against unforeseen problems. In general, inv estors should pay attention to asset growth, the composition of assets between cash, securities, and loans, and the composition of the loan book. Also, investors should note a banks asset/equity (equity multiplier) ratio, which measures how many times a dollar of equity is leveraged. The liability side of a banks balance sheet is made up of various types of deposit accounts and other forms of borrowings used to fund their investments. A major difference between banks and other is their high leverage or debt-to-asset ratio. Assets and liability management (ALM) is the management of the structure of a banks balance sheet in such a way that interest related earnings are maximized within the overall risk tolerance of the banks management (J.S.G Wilson, 1988). 2.2-The Bank for International Settlement (BIS) and the Basel Accords: 2.2.1-The Bank for International Settlement (BIS): 12 The Bank for International Settlements (or BIS) is an international organization of c entral banks which exists to foster cooperation among central banks and other agencies in pursuit of monetary and financial stability (Wikipedia online, 2008). It carries out its work through subcommittees, the secretariats it hosts, and through its annual General Meeting of all members. The BIS also provides banking services, but only to central banks, or to international organizations like itself. Based in Basel, Switzerland, the BIS was established by the Hague agreements of 1930. As an organization of central banks, the BIS seeks to make monetary policy more predictable and transparent among its 55 member central banks. While monetary policy is determined by each sovereign nation, it is subject to central and private banking scrutiny and potentially to speculation that affects foreign exchange rates and especially the fate of export economies. Two aspects of monetary policy have proven to be particularly sensitive, and the BIS therefore has two specific goals: to regulate cap ital adequacy and make reserve requirements transparent. Capital adequacy policy applies to equity and capital assets. These can be overvalued in many circumstances. Accordingly the BIS requires bank capital/asset ratio to be above a prescribed minimum international standard, for the protection of all central banks involved. The BIS main role is in setting capital adequacy requirements. From an international point of view, ensuring capital adequacy is the most important problem between central banks, as speculative lending based on inadequate underlying capital and widely varying liability rules causes economic crises as bad money drives out good (Greshams Law). The BIS sets requirements on two categories of capital, Tier 1 capital and Total capital. Tier 1 capital is the book value of its stock plus retained earnings. Tier 2 capital is loanloss reserves plus subordinated debt. Total capital is the sum of Tier 1 and Tier 2 capital. Tier 1 capital must be at least 4% of total r isk-weighted assets. Total capital must be at least 8% of total risk-weighted assets. When a bank creates a deposit to fund a loan, its assets and liabilities increase equally, with no increase in equity. That causes its capital ratio to drop. Thus the capital requirement limits the total amount of credit that a bank 13 may issue. It is important to note that the capital requirement applies to assets while the bank reserve requirement applies to liabilities. 2.2.2-The Basel Accords: The Basel Accord(s) refers to the banking supervision accords (recommendations on banking laws and regulations), Basel I (first published in 1988 and enforced by law in 1992 by the G-10 countries) and Basel II (published in June 2004) issued by the Basel Committee on Banking Supervision (BCBS). They are called the Basel Accords as the BCBS maintains its secretariat at the Bank of International Settlements in Basel, Switzerland and the committee normally meets there. The Basel Committee consists of repres entatives from central banks and regulatory authorities of the G10 countries, plus others (specifically Luxembourg and Spain). The committee does not have the authority to enforce recommendations, although most member countries (and others) tend to implement the Committees policies. This means that recommendations are enforced through national (or EU-wide) laws and regulations, rather than as a result of the committees recommendations thus some time may pass between recommendations and implementation as law at the national level. Tier 1 capital is the core measure of a banks financial strength from a regulators point of view. It consists of the types of financial capital considered the most reliable and liquid, primarily Shareholders equity. Examples of Tier 1 capital are common stock, preferred stock that is irredeemable and non-cumulative, and retained earnings. Capital in this sense is related to, but different from, the accounting concept of shareholders equity. Both tier 1 and tier 2 capital were first defined in the Basel I capital accord. The new accord, Basel II, has not changed the definitions in any substantial way. Each countrys banking regulator, however, has some discretion over how differing financial instruments may count in a capital calculation. This is appropriate, as the legal framework varies in different legal systems. 14 Tier 2 capital is a measure of a banks financial strength with regard to the second most reliable form of financial capital, from a regulators point of view. The forms of banking capital were largely standardized in the Basel I accord, issued by the Basel Committee on Banking Supervision and left untouched by the Basel II accord. Tier 1 capital is considered the core capital and more reliable form of capital 2.3- VALUE-AT-RISK 2.3.1-BANK LOANS: A loan is a debt. Like all debt instruments, a loan entails the redistribution of financial assets over time, between the lender and the borrow er. The borrower initially receives an amount of money from the lender, which he pays back, but sometimes not always in regular installments, to the lender. This service is generally provided at a cost, known as interest on the debt. The lender may subject the borrower to certain restrictions known as loan covenants. One of the principal duties of financial institutions is to provide loans, this is typically the source of income to banks, bank loans and credit also constitute one of the ways of increasing money supply in the economy. 2.3.2-VALUE AT A RISK (VAR): This is a technique used to estimate the probability of portfolio losses based on the statistical analysis of historical price trends and volatilities. Value at risk is commonly used by banks, security firms and companies that are involved in trading energy and other commodities. VAR is able to measure risk while it happens and is an important consideration when firms make trading or he dging decision (Simon Manganelli and Robert Engle, 2001). Some people have described VAR as the new science of risk management, but you do not need to be a scientist to use VAR. Here, we look at the idea behind VAR and the three basic methods of calculating it. Basically, VAR is represented by; 15 VAR= (dollar value of position)(price sensitivity)(potential adverse move in price/yield). .(1) For financial institutions, risk is about the odds of losing money given out as loans, and VAR is based on that common-sense fact. By assuming financial institutions care about the odds of a really big loss on loans, VAR answers the question, What is my worstcase scenario? or How much could I lose in a really bad month? To be more specific, a VAR statistic has three components: a time period, a confidence level and a loss amount (or loss percentage). Keep these three lets take note of this as we give some examples of variations of the questions that VAR answers: What is the most I can with a 95% or 99% level of confidence expect to lose in default on loan repayment over the next month? What is the maximum percentage I can with 95% or 99% confidence expect to lose over the next year? We can see how the VAR question has three elements: a relatively high level of confidence (typically either 95% or 99%), a time period (a day, a month or a year) and an estimate of lose on loan default (expressed either in dollar or percentage terms) (David Harper, 2008). 2.4- PORTFOLIO THEORY AND TRADITIONAL METHOD TO CREDIT RISK MANAGEMENT 2.4.1- PORTFOLIO APPROACH: Since the 1980s, banks have successfully applied modern portfolio theory (MPT) to market risk. Many banks are now using earnings at risk (EAR) and value at risk (VAR) models to manage their interest rate and market risk exposures. Unfortunately, however, even though credit risk remains the largest risk facing most banks, the practical of MPT to credit risk has lagged (William Margrabe, 2007). 16 Banks recognize how credit concentrations can adversely impact financial performance. As a result, a number of sophisticated institutions are actively pursuing quantitative approaches to credit risk measurement, while data problems remain an obstacle. This industry is also making significant progress toward developing tools that measure credit risk in a portfolio context. They are also using credit derivatives to transfer risk efficiently while preserving customer relationships. The combination of these two developments has precipitated vastly accelerated progress in managing credit risk in a portfolio context over the past several years. 1. Asset-by-asset Approach: Traditionally, banks have taken an asset-by-asset approach to credit risk management. While each banks method varies, in general this approach involves periodically evaluating the credit quality of loans and other credit exp osures, applying a credit risk rating, and aggregating the results of this analysis to identify a portfolios expected losses. The foundation of the asst-by-asset approach is a sound loan review and internal credit risk rating system. A loan review and credit risk rating system enable management to identify changes in individual credits, or portfolio trends in a timely manner. Based on the results of its problem loan identification, loan review, and credit risk rating system management can make necessary modifications to portfolio strategies or increase the supervision of credits in a timely manner. 2. Portfolio Approach: While the asset-by-asset approach is a critical component to managing credit risk, it does not provide a complete view of portfolio credit risk, where the term risk refers to the possibility that actual losses exceed expected losses. Therefore to gain greater insight into credit risk, banks increasingly look to complement the asse t-by-asset approach with a quantitative portfolio review using a credit model. Banks increasingly attempt to address the inability of the asset-by-asset approach to measure unexpected losses sufficiently by pursuing a portfolio approach. One weakness with the asset-by-asset approach is that it has difficulty identifying and measuring 17 concentration. Concentration risk refers to additional portfolio risk resulting from increased exposure to a borrower, or to a group of correlated borrowers. Table 1 summerises strategies for reducing and coping with portfolio credit risk. Table 1: Strategies for Reducing and Coping with Portfolio Credit Risk Technique Advantages Disadvantages Implication Geographic Diversification External shocks (climate, price, natural disasters, etc.) are not likely to affect the entire portfolio if there is spatial diversification. If the country is small or the Institution is capital constrained, it ma y not be able to apply this principle. It will become vulnerable to covariate risk, which is high in agriculture. Loan Size Limits (Rationing) Prevents the institution from being vulnerable to nonperformance on a few large loans. Can be carried to the extreme where loan size does not fit the business needs of the client and results in suboptimal use and lower positive impact by client. Client could become dissatisfied Protects asset quality in the shortrun but creates client retention problems in the long run. Inimical to relationship banking. Over Collateralization Assures the institution that enough liquidation value will exist for foreclosed assets. Excludes poor, low-income clients who are the vast majority of the market. Not a recommended technique if goal is to better serve the low- and moderate income clients. Credit Insurance Bank makes clients purcha se credit insurance. In event of default, bank collects from insurer. Databases and credit bureaus may not exist to permit insurer to engage in this line of business in cost-effective manner. Portfolio Securitization Lender bundles and sells loans to a third party. Transfers default risk and improves liquidity so that it can continue to lend. Allows lender to develop expertise in analyzing creditworthiness in one sector or niche. Requires well documented loans and long time series of performance data to permit ratings and reliable construction of financial projections. Requires a well developed secondary market, standardized underwriting practices, and existence of rating companies. 18 Source: Publication of the Inter-American Development Bank, May 2007. 2.4.2-TRADITIONAL APPROACH: It is hard to differentiate between the traditional approach and the new approaches since many of the ideas of traditional models are used in the new models. The traditional approach is comprised of four classes of models 1. Expert Systems In the expert system, the credit decision is left in the hands of the branch lending officer. His expertise, judgment, and weighting of certain factors are the most important determinants in the decision to grant loans. the loan officer can examine as many points as possible but must include the five Cs these are; character, credibility, capital, collateral and cycle (economic conditions) in addition to the 5 Cs, an expert may also take into consideration the interest rate. 2. Artificial Neural Networks: Due to the time consuming nature and error- prone nature of the computerized expertise system, many systems use induction to infer the human experts decision process. The artificial neural networks have been proposed as solutions to the problems of the expert system. This system simulates the huma n learning process. It learns the nature of the relationship between inputs and outputs by repeatedly sampling input/output information. 3. Internal Rating at Banks: Over the years, banks have subdivided the pass/performing rating category, for example at each time, there is always a probability that some pass or performing loans will go into default, and that reserves should be held against such loans. 4. Credit Scoring Systems: 19 A credit score is a number that is based on a statistical analysis of a borrowers credit report, and is used to represent the creditworthiness of that person1. A credit score is primarily based on credit report information. Lenders, such as banks use credit scores to evaluate the potential risk posed by giving loans to consumers and to mitigate losses due to bad debt. Using credit scores, financial institutions determine who are the most qualified for a loan, at what rate of interest, and to what credit limits (Wiki pedia, 2008). 2.5-SUPERVISORY AUTHORITY OF BANK CREDIT RISK MANAGEMENT The Bank of International Settlement (BIS) on November 28th 2005 in a press release issued a series of ten principles on Sound Credit Risk Assessment and valuation for Loans: Principle 1: The banks board of directors and senior management are responsible for ensuring that the banks have appropriate credit risk assessment processes and effective internal controls to consistently determine provisions for loan losses in accordance with the banks stated policies and procedures, the applicable accounting framework and supervisory guidance commensurate with the size, nature and complexity of the banks lending operations. Principle 2: Banks should have a system in place to reliably classify loans on the basis of credit risk. Principle 3: A banks policies should appropriately address validation of any internal credit risk assessment models. Principle 4: A bank should adopt and document a sound loan loss methodology, which addresses risk assessment policies, procedures and controls, for assessing credit risk, identifying problem loans and determining loan provisions in a timely manner. Principle 5: A banks aggregate amount of individual and collectively assessed loan provisions should be adequate to absorb estimated credit losses in the loan portfolio. 1 That is, the likelihood that the person will pay his or her debts. 20 Principle 6: A banks use of experienced credit judgment and reasonable estimates are an essential part of the recognition and measurement of loan losses. Principle 7: A banks credit risk assessment process for loans should provide the bank with the necessary tools, procedures and observable data to use for credit risk assessment purposes, account for impairment of loans and the determination of regulatory capital requirements. Principle 8: Banking supervisors should periodically evaluate the eff ectiveness of a banks credit risk policies and practices for assessing loan quality. Principle 9: Banking supervisors should be satisfied that the methods employed by a bank to calculate loan loss provisions produce a reasonable and prudent measurement of estimated credit losses in the loan portfolio that are recognized in a timely manner. Principle 10: Banking supervisors should consider credit risk assessment and valuation practices when assessing a banks capital adequacy. I. Individual Credit Rating: A credit rating assesses the credit worthiness of an individual, corporation, or even a country. Credit ratings are calculated from financial history and current assets and liabilities. Typically, a credit rating tells a lender or investor the probability of the subject being able to pay back a loan. However, in recent years, credit ratings have also been used to adjust insurance premiums, determine employment eligibility, and establish the amount of a utility or leasing deposit. II. Corporate credit ratings: The credit rating of a corporation is a financial indicator to potential investors of debt securities such as bonds. These are assigned by credit rating agencies2 such as Standard Poors, Moodys or Fitch Ratings and have letter designations such as AAA, B, CC. The Standard Poors 2 In the United States, the main credit bureaus are Experian, Equifax, and TransUnion. A relatively new credit bureau in the US is Innovis. In the United Kingdom, the main credit reference agencies for individuals are Experian, Equifax, and Callcredit. In Canada, the main credit bureaus for individuals are Equifax, TransUnion and Northern Credit Bureaus/ Experian. The leading credit bureau in Sweden is Upplysningscentralen AB. In India, the main credit bureaus are CRISIL and ICRA. The largest credit rating agencies are Moodys, Standard and Poors and Fitch Ratings. 21 rating scale is as follows: AAA, AA, A, BBB, BB, B, CCC, CC, C, D. Anything lower than a BBB rating is considered a speculative or junk bond. The Moodys rating system is similar in concept but the verbage is a little different. It is as follows: AAA, Aa1, Aa2, Aa3, A1, A2, A3, Baa1, Baa2, Baa3, Ba1, Ba2, Ba3, B1, B2, B3, Caa1, Caa2, Caa3, Ca, C. III. A sovereign credit rating is the credit rating of a sovereign entity. The sovereign credit rating indicates the risk level of the investing environment of a country and is used by investors looking to invest abroad. It takes political risk into account. The countries with the least sovereign risk are ranked as follows. Table 2: Country risk rankings (Least risky countries), Score out of 100 Source: Euromoney, Country risk, March 2008. Rank Previous Rank Country Score 1 1 Luxembourg 99.88 2 2 Norway 97.47 3 3 Switzerland 96.21 4 4 Denmark 93.39 5 5 Sweden 92.96 6 6 Ireland 92.36 7 10 Austria 92.25 8 9 Finland 91.95 9 8 Netherlands 91.95 10 7 United States 91.27 According to the results (see table 2), Austrias country rating has improved from 10th to 7th position while the USA has dropped to the10th position from 7th. 2.6-MANAGING CREDIT RISK USING FINANCIAL RATIOS: 22 Ratio analysis (financial and accounting ratios) is a measurement system to analyse the strength, weakness, opportunity and threats (SWOT Analysis) of an FI. The table below depicts some of the frequently used ratios in credit analysis (table 2): Table 3: Frequently Used Ratios in Credit Analysis3 Category Ratio Operating Performance Earnings before interest, taxes, depreciation and amortization(EBITDA)/Sales Net Income/ Sales Net Income/ Net Worth Sales/ Fixed Assets Debt Service Coverage EBITDA/ Interest Payment1.5 Free Cash-flow expenditure/ Interest payments Free Cash-flow expenditures-dividend/Interest Financial Leverage Long-term debt/Capitalization Long-term debt/Ta ngible net worth Total liabilities/Tangible net worth Current liabilities/Tangible net worth Liquidity Current ratio (current assets/current liabilities) Quick ratio (current assets-inventory/current liabilities) Inventory turnover(inventory/Net sales) Inventory to Net working capital Current debt to Inventory Raw materials,WIP, and finished goods as a percentage of total Inventory Receivables Aging of receivables:30,60,90,90+days 3 These ratios are commonly used in credit analysis but have to be adapted to specific environment of industries and countries. 23 Average collecting period Source: Caoutte, et al., 1998 2.7 Credit Risk Models Over the last decade, a number of the worlds largest banks have developed sophisticated systems in an attempt to model the credit risk arising from important aspects of their business lines. Such models are intended to aid banks in quantifying, aggregating and managing risk across geograp hical and product lines. The outputs of these models also play increasingly important roles in banks risk management and performance measurement processes, including performance-based compensation, customer profitability analysis, risk-based pricing and, to a lesser (but growing) degree, active portfolio management and capital structure decisions. The Task Force recognizes that credit risk modeling may indeed prove to result in better internal risk management, and may have the potential to be used in the supervisory oversight of banking organizations. However, before a portfolio modeling approach could be used in the formal process of setting regulatory capital requirements for credit risk, regulators would have to be confident not only that models are being used to actively manage risk, but also that they are conceptually sound, empirically validated, and produce capital requirements that are comparable across institutions. At this time, significant hurdles, principally concerning data availability and model validation, still need to be cleared before these objectives can be met, and the Committee sees difficulties in overcoming these hurdles in the timescale envisaged for amending the Capital Accord (BIS, credit risk modeling, 19th April 1999). Credit scoring models use data on observed borrower characteristics either to calculate the probability of default or to borrowers into different default risk classes (Saunders and Cornett, 2007). Prominent amongst the credit scoring models is the Altmans Z-Score. The Z-score formula for predicting Bankruptcy of Dr. Edward Altman (1968) is a multivariate formula for measurement of the financial health of a company and a powerful diagnostic 24 tool that forecast the probability of a company entering bankruptcy within a two year period with a proven accuracy of 75-80%. The Altmans credit scoring model takes the following form; Z=1.2X1+ 1.4X2 + 3. 3X3 + 0.6X4 +1.0X5 (2) Where, X1 = Working capital/ Total assets ratio X2 = Retained earnings/ Total assets ratio X3 = Earnings before interest and taxes/ Total assets ratio X4 = Market value of equity/ Book value of long-term debt ratio X5 = Sales/ Total assets ratio. The higher the value of Z, the lower the borrowers default risk classification. According to Altmans credit scoring model, any firm with a Z-Score less than 1.81 should be considered a high default risk, between 1.81-2.99 an indeterminate default risk, and greater than 2.99 a low default risk. Critics: Use of this model is criticized for discriminating only among three borrower behavior; high, indeterminate, and low default risk. Secondly, that there is no obvious economic reason to expect that the weights in the Z-Score model or, more generally, the weights in any credit-scoring model- will be constant over any but very short periods. Thirdly the problem is that these models ignore important, hard to quantify factors (such as macroeconomic factors) that may play a crucial role in the default or no-default decision. Outstanding also is the KMV credit Monitor Model4. In recent years, following the pioneering work on options by Merton, Black, and Scholes, we now recognize that when a firm raises funds either by issuing bonds or by increasing bank loans, it holds a very valuable default or repayment option ( Black and Scholes, 1973) and (Merton, 1974). The KMV Model is a credit monitor model that helps to solve the lending problems of banks 4 KMV is a trademark of KMV Corporation that was founded in 1989. The KMV model calculates the Expected Default Frequency (EDF) based on the firms capital structure, the volatility of the assets returns and the current asset value. This model best applies to publicly traded companies for which the value of equity is market determined. 25 and further look at the repayment incentive problem (Gilbert, 2004). To try resolving the problems, the KMV Model uses the structural relationship between the volatility of a firms asset and the volatility of the firms equity. The KMV Corporation (purchased by Moodys in 2002) has turned this relatively simple idea into a credit-monitoring model now used by most of the large US banks to determine the Expected Default Frequency (EDF) that is the probability of default of large corporations (KMV Corporation, 1994). The expected default frequency that is calculated reflects the probability that the market value of the firms assets will fall below the promised repayments on debt liabilities in one year. If the value of a firms assets falls below its debt liabilities, it can be viewed as being economically insolvent. Simulations by the KMV have shown that this model outperforms both accounting-based models and SP ratings (Saunders and Cornett, 2007). The relevant net worth of a firm is therefore the market value of the firms assets minus the firms default point. Net worth= (Market Value of Assets) (Default Point) (3) A firm will default when its market net worth reaches zero. (Market Value of Assets)(Asset Volatility) (Market Value of Assets) (Default Point) Distant to Default = (4) (Source: Moodys KMV; Modeling Default Risk, 18th December 2003.) The KMVs empirical EDF is an overall statistics that can be calculated for every possible distance to default (DD) using data either aggregated or segmented by industry or region. To find the EDF for any particular firm at any point in time, one must look at the firms EDF as implied by its calculated DD. As a firms DD fluctuates, so do its EDF. For firms that are actively traded, it would be possible in theory to update the EDF every few minutes (Gilbert, 2004). CRITICS: The KMV EDF Model has been criticized on the basis that they are not true probabilities of default. This is refl ected in the poor results obtained using KMV empirical EDFs in order to replicate risky bond prices (Kao, Eom et al, 2000). 26 An increasingly popular model used to evaluate the return on a loan to a large customer is the Risk-Adjusted Return on Capital (RAROC) Model. This model, originally pioneered by Bankers Trust (acquired by Deutsche Bank in 1998) is now adopted by virtually all the large banks in Europe and the US, although with some differences among them (Saunders and Cornett, 2007). The essential idea behind RAROC is that rather than evaluating the actual promised annual cash flow on a loan as a percentage of the amount lent or (ROA), the lenders balance the loans expected income against the loans expected risk. The RAROC Model is basically represented by, RAROC = (one year net income on loan)/ (Risk adjusted assets). (5) For denominator of RAROC, duration approach can be used to estimate worst case loss in value of the loan: DL n = -DLnx Ln x (DR/ (1+R)) .(6) Where, DR is an estimate of the worst change in credit risk premiums for the loan class over the past year. Ln= Loan DLn= Change in loan class R=Interest Rate According to James Christopher (1996), the immediate purpose of the RAROC riskmeasurement systems is to provide bank managements with a more reliable way to determine the amount of capital necessary to support each of their major activities and, thus, to determine the overall leverage for the bank as a whole. This paper also stipulates that the RAROC system provide a uniform measure of performance and that management can, in turn use this measure to evaluate performance for capital budgeting and as an input to the compensation system used for senior managers. 27

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Introduction: Workplace health hazard is an area concerning the protection of the safety, health and welfare of people engaged in a workplace. The goal of workplace health hazards programs is to create a safe and healthy work environment. The definition of health hazard is very subjective as it is different to different people or companies. Health hazards cause noticeable changes in the body, such as a decrease in health. These cause changes in signs and symptoms that are exposed in employees. One of the symptoms is shortness of breath. Employees exposed to such hazards must be apprised of both the change in body function and the signs and symptoms that may occur to signal that change. 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Manuel Felguerez Entre Dos Almas Essay Example For Students

Manuel Felguerez Entre Dos Almas Essay Abstract art is defined by suggestion of the natural or real versus the concrete, indexical perception of absolute depiction found in realism. In understanding these precepts the reader of this review will gain insight into how the writers assess the various viewpoints presented by opticality and perception from the artist, viewer, and critic in finding meaning in the work of an abstract painting. Opticality, how to view a work of art, can take the intellectual approach or take the form of a psychological game, sometimes perpetrated by the artist, as an optical illusion to be solved and other times to be used by writers through an intellectual approach in resolving the hidden meaning of the abstract painting. Manuel Felguerez is a Mexican artist who was born in Zacatecas, Mexico. He moved to Mexico City to study sculpture at the Academia de San Carlos and La Esmeralda School of Art. He began exhibiting in the early 1950s in Paris and Mexico City and continues to exhibit worldwide today. The work of Manuel Felguerez covers a vast space in the Mexican plastic reality. It is also one of the most powerful examples of the will to remain faithful to the authentic demands of art without closing the current moment, but also by opposing the truth of the artist when deemed necessary. Abstract painter and sculptor since his early works, he realizes his intimate and personal relationship with form. Felguerez always explored the endless possibilities of the means of expression themselves. Felguerez is a rational artist, analytical and self-appraising, geometric, organize, and order, logic, system of possibilities. In more ways than one, Felguerez might be easily taken for a professor. The formation of Felguerez style was influenced by the abstract expressionism which he was exposed to in his early training. His works contains geometric figures most of the time, such as circles, triangles, squares which he combines with his own language. Manuel Felguerez has had many influences but he does not follow any one specifically. We have seen the presence of Zadkine, his first teacher in his sculptures, and later the one from Moore. At some time of his painting, the violent seduction of Kooning has appeared, but all influences have been assimilated and transformed into constant exercise of his creative freedom. The painting Entre Dos Almas its an oil on canvas made by Manuel Felguerez on 1992, it is located in the San Antonio Museum of Art in the city of San Antonio, Texas. It is placed in the Latin-American artists section with a quote of Felguerez that says: Every plane contains potentially infinite volumes. Opt for one, and create a relief; color will also assume dimension. Then take the volume and develop it in space, demonstrate that the concept painting-relief-sculpture is obsolete, exhausted, that form-color is one within relative spaces. Entre dos almas is typical of many of Felguerezs paintings form the 1990s in which he explores composition in two dimensions. His paintings include lyrical explorations of curved organic forms juxtaposed with geometrical elements. The cool metallic gray background of his work is reminiscent of the high technology and computer elements which influenced Manuel Felguerezs work in the late 1970s. Felguerezs paintings are closely related to many of his sculptural reliefs. As we can see, nothing in this painting is recognizable; there are no fruits, landscapes or people. In some cases the painting is pleasant to the eye and sometimes it is not. The painting has a flat two-dimensional-space area. It has a lot of curved lines and it has a few straight lines; I touched the surface of the painting by myself and I could notice that the texture of the painting is thick and rough, as we can perceive that the painting has this kind of texture when we look at it. .uc5561b85593f2143a02131c8ddf2f2d7 , .uc5561b85593f2143a02131c8ddf2f2d7 .postImageUrl , .uc5561b85593f2143a02131c8ddf2f2d7 .centered-text-area { min-height: 80px; position: relative; } .uc5561b85593f2143a02131c8ddf2f2d7 , .uc5561b85593f2143a02131c8ddf2f2d7:hover , .uc5561b85593f2143a02131c8ddf2f2d7:visited , .uc5561b85593f2143a02131c8ddf2f2d7:active { border:0!important; } .uc5561b85593f2143a02131c8ddf2f2d7 .clearfix:after { content: ""; display: table; clear: both; } .uc5561b85593f2143a02131c8ddf2f2d7 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .uc5561b85593f2143a02131c8ddf2f2d7:active , .uc5561b85593f2143a02131c8ddf2f2d7:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .uc5561b85593f2143a02131c8ddf2f2d7 .centered-text-area { width: 100%; position: relative ; } .uc5561b85593f2143a02131c8ddf2f2d7 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .uc5561b85593f2143a02131c8ddf2f2d7 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .uc5561b85593f2143a02131c8ddf2f2d7 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .uc5561b85593f2143a02131c8ddf2f2d7:hover .ctaButton { background-color: #34495E!important; } .uc5561b85593f2143a02131c8ddf2f2d7 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .uc5561b85593f2143a02131c8ddf2f2d7 .uc5561b85593f2143a02131c8ddf2f2d7-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .uc5561b85593f2143a02131c8ddf2f2d7:after { content: ""; display: block; clear: both; } READ: Art History Essay On ChiaroscuroThe purpose of the unity in a painting is to create a sense of harmony and wholeness, by using similar elements and the purpose of the variety is to use contrasting elements within the composition, which we can clearly see in this painting; the unity used here is that the objects have the same color while the variety is the use of different sizes and shapes. The principal colors Manuel Felguerez used in this painting are metallic grey, orange and white, the other ones are a mixture of these three. The balance of this painting is asymmetrical because it is abstract art so all the elements are placed unevenly. The painting has asymmetrical symmetry because one side of the painting has mostly metallic grey and orange and the other one has white and orange. That might be why he called this painting Entre dos almas. Felguerez might want to say with this painting that everyone has two sides, the good side and the bad side that are always fighting. Most of the time the good side of the people wins that is the reason why we can see the white color trying to overcome the blackness of the other side of the painting. But while doing this it is obvious that we as human beings have our failures and sometimes we do not do the right thing, which might be the purpose of the black part in the white side of the painting. But that is how I interpret this work of art, it does not have to mean that, everyone can see it in a different way, as we can read above Felguerez did this painting influenced by the technology at that time. His work is a confirmation that he does not ignore the demands imposed on the time, but on the contrary, he faces them directly. Bibliography: 1. Lanigan, Linda B. How to Get Meaning from Abstract Painting. How to Get Meaning from Abstract Painting: As Interpreted by the Artist, the Viewer, and the Writer (2012): n. web. 2012. 2. Peden, Margaret Sayers. Out of the Volcano: Portraits of Contemporary Mexican Artists. Washington, D.C.: Smithsonian Institution, 1991. Print. 3. Ponce, Juan. Nueve Pintores Mexicanos. [1. ed. Me?xico: Ediciones Era, 1968. Print. 4. Entre Dos Almas. San Antonio Museum of Art. 200 W Jones Ave, San Antonio, TX 78215. November 27th, 2014.