Showing 1 - 10 of 10
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Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
Persistent link: https://www.econbiz.de/10010533206
Economic problems such as large claims analysis in insurance and value-at-risk in finance, requireassessment of the probability P of extreme realizations Q. This paper provided a semi-parametricmethod for estimation of extreme (P, Q) combinations for data with heavy tails. We solve the...
Persistent link: https://www.econbiz.de/10010533207
Under the new Capital Accord, banks choose between two different types of risk management systems, the standard or the internal rating based approach. The paper considers how a bank's preference for a risk management system is affected by the presence of supervision by bank regulators. The model...
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Basel's new standardized approach (SA) for operational risk capital may allow for regulatory arbitrage through the use of insurance. Under the SA, banks will have incentive to insure recurring losses, which can meaningfully reduce capital requirements even as it does not meaningfully decrease...
Persistent link: https://www.econbiz.de/10012859534
Seven desirable properties for a capital framework are proposed, and the Advanced Measurement Approach (AMA) and the new standardized approach (NSA) for operational risk capital are evaluated relative to them. The AMA is vulnerable to gaming, complex, and lacks comparability. The NSA lacks risk...
Persistent link: https://www.econbiz.de/10012922130
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Under the new Capital Accord, banks choose between two different types of risk management systems, the standard or the internal rating based approach. The paper considers how a bank's preference for a risk management system is affected by the presence of supervision by bank regulators. The model...
Persistent link: https://www.econbiz.de/10010324867