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1. Risk-Based Capital Standards and the Riskiness of Bank Portfolios: Credit and Factor Risks [] Steven R. Grenadier & Brian J. Hall1995 Downloadable (with restrictions)! Bank risk-based capital (RBC) standards require banks to hold differing amounts of capital for different classes of assets, based almost entirely on a credit risk criterion. The paper provides both a theoretical and empirical framework for evaluating such standards. A model outlining a pricing methodology for loans subject to default risk is presented. The model shows that the returns on such loans are affected by the complicated interaction of the likelihood of default, the consequences of default, term structure variables, and the pricing of factor risks in the economy. When we examine whether the risk weights accurately reflect bank asset risk, we find that the weights fail even in their limited goal of correctly quantifying credit risk. For example, our findings indicate that the RBC weights overpenalize home mortgages, which have an average credit loss of 13 basis points, relative to commercial and consumer loans. The RBC rules also contain a significant bias agains 2. Pricing Derivatives on Financial Securities Subject to Credit Risk [] Jarrow, Robert A & Turnbull, Stuart MDownloadable (with restrictions)! Author(s): Jarrow, Robert A & Turnbull, Stuart M. 1995 Abstract: This article provides a new methodology for pricing and hedging derivative securities involving credit risk. Two types of credit risks are considered. The first is where the asset underlying the derivative security may default. The second is where the writer of the derivative security may default. The authors apply the foreign currency analogy of R. Jarrow and S. Turnbull (1991) to decompose the dollar payoff from a risky security into a certain payoff and a 'spot exchange rate.' Arbitrage-free valuation techniques are then employed. This methodology can be applied to corporate debt and over the counter derivatives, such as swaps and caps. Copyright 1995 by American Finance Association. 3. The nature of credit risk in project finance [] Marco SorgeDownloadable ! Author(s): Marco Sorge. 2004 Abstract: In project finance, credit risk tends to be relatively high at project inception and to diminish over the life of the project. Hence, longer-maturity loans would be cheaper than shorter-term credits. 4. Valuation of Credit Risk in Agricultural Mortgages [] Sherrick, Bruce J & Barry, Peter J & Ellinger, Paul N2000 Downloadable (with restrictions)! A credit-risk valuation model is developed and empirically implemented to estimate the cost of loss distributions across a broad set of loan-level and pool-level characteristics is used to assess insuring against credit risks in pools of agricultural mortgage loans. Probabilistic information about insurance valuation and solvency likelihood. The effects on the value of credit-risk insurance of pool size, deductibles, timing alterations, premium loadings, adverse loan selection, and changing underwriting standards are also estimated. Results indicate that actuarial insurance costs are initially highly sensitive and then become relatively insensitive as pool size increases. Copyright 2000 by American Agricultural Economics Association 5. Could Regional and Cantonal Banks Reduce Credit Risk through National Diversification? [] Bertrand Rime2007 Downloadable! This paper evaluates the reduction of credit risk that can be achieved in Switzerland by a national diversification of bank lending. Using a credit risk model based on corporate default rates, I find that the risk of a nationally diversified loan portfolio is up to 20% smaller than the sum of the risks of regional portfolios. From a financial stability perspective, this substantial risk diversification potential should motivate particular scrutiny on the more than hundred Swiss banks staying on the regional business model. 6. The Credit Risk Transfer Market and Stability Implications for . Financial Institutions [] Li L. Ong & Jorge A. Chan-LauDownloadable ! Author(s): Li L. Ong & Jorge A. Chan-Lau. 2006 Abstract: The increasing ability to trade credit risk in financial markets has facilitated its dispersion across the financial and other sectors. However, specific risks attached to credit risk transfer (CRT) instruments in a market with still-limited liquidity means that its rapid expansion may actually pose problems for financial sector stability in the event of a major negative shock to credit markets. This paper attempts to quantify the exposure of major . financial groups to credit derivatives, by applying a vector autoregression (VAR) model to publicly available market prices. Our results indicate that use of credit derivatives does not pose a substantial threat to financial sector stability in the United Kingdom. Exposures across major financial institutions appear sufficiently diversified to limit the impact of any shock to the market, while major insurance companies are largely exposed to the 7. Ratings versus equity-based credit risk modelling: an empirical analysis [] Pamela Nickell & William Perraudin & Simone VarottoDownloadable ! Author(s): Pamela Nickell & William Perraudin & Simone Varotto. Abstract: Banks have recently developed new techniques for gauging the credit risk associated with portfolios of illiquid, defaultable instruments. These techniques could revolutionise banks' management of credit risk and could in the longer term serve as a more risk-sensitive basis for calculating regulatory capital on banks' loan books than the current 8% capital charge. In this paper, examples are implemented of the two main types of credit risk model developed so far: ratings-based and equity-based approaches. Using price data on large eurobond portfolios, the paper assesses, on an out-of-sample basis, how well these models track the risks they claim to measure. 8. Comparing mortgage credit risk policies : an options-based approach [] Buckley, Robert & Karaguishiyeva, Gulmira & Van Order, Robert & Vecvagare, LauraDownloadable ! Author(s): Buckley, Robert & Karaguishiyeva, Gulmira & Van Order, Robert & Vecvagare, Laura. 2003 Abstract: Buckley, Karaguishiyeva,Van Order, and Vecvagare analyze the structure of approaches to mortgage credit risk that are now being used in a number of OECD and transition economies. The authors'basic approach is to show how option pricing models can help measure and evaluate the risks of various schemes. They find that mortgage default insurance can be a cost-effective tool for both improving housing affordability and efficiently addressing some of the rationing that characterizes this market. When correctly structured, as it is in a number of transition and market countries, this kind of program can be expected to reduce nonprice rationing at an actuarially fair price. At the same time, considerable care must be exercised in the development of such instruments. Geographical risk diversification, particularly across borders, can play a major role in the success of these programs. 9. Quadratic Portfolio Credit Risk models with Shot-noise Effects [] Gaspar, Raquel M. & Schmidt, Thorsten2005 Downloadable!
We propose a reduced form model for default that allows us to derive closed-form solutions to all the key ingredients in credit risk modeling: risk-free bond prices, defaultable bond prices (with and without stochastic recovery) and probabilities of survival. We show that all these quantities can be represented in general exponential quadratic forms, despite the fact that the intensity is allowed to jump producing shot-noise effects. In addition, we show how to price defaultable digital puts, CDSs and options on defaultable bonds. Further on, we study a model for portfolio credit risk where we consider both firm specific and systematic risks. The model generalizes the attempt from Duffie and Garleanu (2001). We find that the model produces realistic default correlation and clustering of defaults. Then, we show how to price first-to-default swaps, CDOs, and draw the link to currently proposed credit indices. 10. Macro stress testing with a macroeconomic credit risk model for Finland [] Virolainen , KimmoDownloadable ! Author(s): Virolainen , Kimmo. 2004 Abstract: In the discussion paper, we employ data on industry-specific corporate sector bankruptcies over the time period from 1986 to 2003 and estimate a macroeconomic credit risk model for the Finnish corporate sector. The sample period includes a severe recession with significantly higher-than-average default rates in the early 1990s. The results suggest a significant relationship between corporate sector default rates and key macroeconomic factors including GDP, interest rates and corporate indebtedness. The estimated model is employed to analyse corporate credit risks conditional on current macroeconomic conditions. Furthermore, the paper presents some examples of applying the model to macro stress testing, ie analysing the effects of various adverse macroeconomic events on the banks’ credit risks stemming from the corporate sector. The results of the stress tests suggest that Finnish corporate sector credit risks are fairly limited in the current macr