Credit is Now the World's Largest Market, with Its Size Estimated in Trillions of Dollars - Get Key Insights into the Key Risk Management Issue in Recent Years.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c28962) has announced the addition of E-Learning Course: Credit Risk to their offering. This course examines in detail the concept of credit risk, the most significant risk faced by banks and the one against which they hold the most regulatory capital. Topics covered in the course include the sources of credit risk in the banking and trading books Trading Book The portfolio of financial instruments held by a brokerage or bank. The financial instruments in the trading book are purchased or sold to facilitate trading for their customers, to profit from spreads between the bid/ask spread, or to hedge against various types of of financial institutions, the factors behind it, the analysis of credit risk, mitigation techniques for this form of risk and credit risk modelling. In this course, you will explore: --The sources of credit risk --Credit risk ratings --The concepts of probability of default Probability of default (PD) is a parameter used in the calculation of economic capital or regulatory capital under Basel II for a banking institution. This is an attribute of bank's client. (PD), loss given default (LGD LGD Loss Given Default LGD Livestock Guardian Dog LGD Low-Grade Dysplasia (abnormal cells, such as those found when doing a biopsy) LGD Laboratory of Genomic Diversity LGD Lou Gehrig's Disease ) and exposure at default (EAD EAD Ensino A Distancia (Brazil) EAD Encoded Archival Description (DTD for SGML) EAD Employment Authorization Document (US INS) EAD Exposure At Default ) --Ratio analysis, credit scoring Credit scoring A statistical technique that combines several financial characteristics to form a single score to represent a customer's creditworthiness. and other techniques used to assess credit risk --Credit risk modeling, including the leading methodologies available in the market (CreditMetrics, CreditRisk+ and Moodys KMV KMV Keyboard/Mouse/Video KMV Kealhofer, McQuown and Vasicek (founders of a company and measure of default probability) KMV Key Mediating Variable (marketing) ) --Mitigation techniques such as netting, collateral and guarantees The following tutorials are included in this E-Learning course: 1. Credit Risk - An Introduction The risk of a counterparty not fulfilling their obligations on the due date is a risk that affects any business enterprise. Credit risk is also the risk to which financial regulators pay closest attention as it is the most significant risk faced by banks. This tutorial introduces the concept of credit risk, its sources in the banking and trading books of financial institutions, the factors behind it, and how it is rated. 2. Credit Analysis Credit analysis is a critical activity for any lender. After all, would you really want to extend a large loan to someone if you thought they were unlikely to pay you back? Before extending credit to any borrower, you would assess their credit risk to determine the borrower's likelihood of default on the loan. Credit analysis is performed on both personal and corporate loan/debt applications. In this tutorial, we will mainly concentrate on corporate credit analysis. 3. Credit Risk Modelling - An Introduction In recent years, credit losses due to the bankruptcy of corporate giants and the Argentine default have been regularly featured in the news. These events, along with other factors such as Basel II Basel II is the second of the Basel Accords, which are recommendations on banking laws and regulations issued by the Basel Committee on Banking Supervision. The purpose of Basel II is to create an international standard that banking regulators can use when creating regulations , have resulted in financial institutions increasing their focus on credit risk management. Much of the spotlight has been on the use of models to measure credit risk. This tutorial introduces the concept of credit risk modelling and provides the necessary background for the subsequent tutorials on the different credit risk models used by banks. 4. Credit Risk Modelling - CreditMetrics The rapid expansion of the credit market has created a need for credit risk management. Financial institutions are continually looking for Looking for In the context of general equities, this describing a buy interest in which a dealer is asked to offer stock, often involving a capital commitment. Antithesis of in touch with. better tools to evaluate and manage credit risk. CreditMetrics, first launched by JP Morgan Investment Bank in 1997, adopts a portfolio-based approach to credit risk management. It evaluates credit risk by predicting movements in the credit ratings of the individual investments in a portfolio. This tutorial outlines the functions and features of the CreditMetrics credit risk management model. 5. Credit Risk Modeling - CreditRisk+ CreditRisk+ is a statistical credit risk model that estimates the distributed risk of default across all the items in a credit portfolio. It was launched by Credit Suisse First Boston Credit Suisse First Boston was originally the trading name of the Financière Crédit Suisse-First Boston, a London-based 50-50 investment banking joint venture formed in 1978 between the First Boston Corporation and Credit Suisse. (CSFB CSFB Credit Suisse First Boston CSFB Cyclically Shifted Filter Bank ) in 1997 to provide a forward-looking approach to credit risk management. This tutorial outlines the CreditRisk+ methodology and its applications. 6. Credit Risk Modeling - KMV & Comparison of Models Moody's credit risk methodology, MKMV MKMV Moody's KMV (Kealhofer, McQuown and Vasicek) , is based on the Merton asset value model for assessing the credit risk of a corporation. MKMV produces default probabilities known as Expected Default Frequencies (EDF (algorithm) EDF - earliest deadline first. ) for each obligor The individual who owes another person a certain debt or duty. The term obligor is often used interchangeably with debtor. obligor (ah-bluh-gore) n. it evaluates. The EDF figure can then be used to estimate the standalone credit risk of an obligor or the value at risk (VAR) in a portfolio. This tutorial introduces the EDF methodology and shows how EDF figures translate to actual credit risk values. In addition, the three main credit risk models are compared. 7. Credit Risk - Mitigation Credit is now the world's largest market, with its size estimated in trillions of dollars. As a result, credit risk and its management have become perhaps the key risk management issue in recent years. Credit risk mitigation can be described as a set of techniques whose goal is to reduce the probability of default, reduce the exposure to risk, and increase the recovery rate. This tutorial looks at a number of different ways in which institutions can mitigate their credit risk. For more information visit http://www.researchandmarkets.com/reports/c28962 |
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