This is the accepted version of the paper.This version of the publication may differ from the final published version. tend to be more profitable institutions, with higher credit risk exposure. Despite a more diversified funding structure, they face higher funding costs. We also find that securitizing banks tend to hold larger and less diversified loan portfolios, have less liquidity, and hold less capital. However, our analysis does not provide evidence to suggest that securitization had an impact upon bank performance. Permanent repository linkJEL codes: G21; G32

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This paper examines the macroeconomic sources of risk priced in the UK stockmarket between 1983 and 1990 using monthly data on 840 stocks to form both beta‐sorted and market value sorted portfolios using the methodology proposed by Chen, Roll and Ross (1986) and Chan, Chen and Hsieh (1985) for the US. We find that several intuitively plausible macroeconomic variables were priced over this period using the beta sorted portfolios and that once these variables are included there is little role for the return on the market. However, when the market value sorted portfolios were used only inflation and a measure of equity market ‘expense’ relative to gilts was priced; furthermore with the market value sorted portfolios a role for the market return was found.

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This paper demonstrates that the use of GARCH-type models for the calculation of minimum capital risk requirements (MCRRs) may lead to the production of inaccurate and therefore inefficient capital requirements. We show that this inaccuracy stems from the fact that GARCH models typically overstate the degree of persistence in return volatility. A simple modification to the model is found to improve the accuracy of MCRR estimates in both back-and out-of-sample tests. Given that internal risk management models are currently in widespread usage in some parts of the world (most notably the USA), and will soon be permitted for EC banks and investment firms, we believe that our paper should serve as a valuable caution to risk management practitioners who are using, or intend to use this popular class of models.

This paper compares a number of different extreme value models for determining the value at risk (VaR) of three LIFFE futures contracts. A semi-nonparametric approach is also proposed, where the tail events are modeled using the generalised Pareto distribution, and normal market conditions are captured by the empirical distribution function. The value at risk estimates from this approach are compared with those of standard nonparametric extreme value tail estimation approaches, with a small sample bias-corrected extreme value approach, and with those calculated from bootstrapping the unconditional density and bootstrapping from a GARCH(1,1) model. The results indicate that, for a holdout sample, the proposed semi-nonparametric extreme value approach yields superior results to other methods, but the small sample tail index technique is also accurate. D

This is the first study to use daily data from a major capital market outside of the US to examine the role of corporate bond and commercial paper rating changes on common stock returns. Using data published by Standard and Poors' credit rating agency between 1984 and 1992, we examine the impact of new credit ratings, credit rating changes and Credit Watch announcements on UK common stock returns. We find significant negative excess returns around the date of a downgrade and positive returns close to the date of a positive CreditWatch announcement. Hence, the financial markets would appear to place some importance on rating agency pronouncements in the UK. New ratings, whether short or long-term, have no significant impact on returns. We also attempt to quantify the impact of a new credit rating upon firm cost of capital through measures of conditional volatility and systematic risk. However, we find only weak evidence to suggest that a stock's cost of capital is reduced after a long-term credit rating is awarded for the first time. Copyright Blackwell Publishers Ltd 1997.

This study investigates the impact of securitization on the credit-risk taking behavior of banks. Using US bank holding company data from 2001 to 2007 we find that banks with a greater balance of outstanding securitized assets choose asset portfolios of lower credit risk. Examining securitizations by the type of underlying assets we find that the negative relationship between outstanding securitization and risk taking is primarily driven by securitizations of mortgages and home equity lines of credit. Securitizations of all other types of assets, on the other hand, seem to have no significant impact on bank credit-risk taking behavior. We attribute these results to the recourse commonly provided in securitization transactions that might alter the risk-taking appetite of the issuing banks across asset classes. Therefore, we conclude that the net impact of securitization on the risk-taking behavior of issuing banks, and consequently on the soundness of the banking system, is ambiguous and will depend on the transactions structure. In particular, it will depend on the relative magnitude of credit support provided by banks. This leads us to suggest that banks have typically viewed securitization as a financing rather than a risk management mechanism.