Stable Modeling of Market and Credit Value at Risk
Svetlozar T. Rachev rachev@lsoe-4.wiwi.uni-karlsruhe.de Department of Statistics and Applied Probability, University of California, Santa Barbara, USAInstitute of Statistics and Mathematical Economics, University of Karlsruhe, Germany
Eduardo S. Schwartz Anderson School of Management, University of California, Los Angeles, USA
Irina Khindanova Colorado School of Mines
Abstract
The chapter examines the use of stable Paretian distributions in modeling market and credit Value at Risk (VaR). The in-sample- and forecast-evaluations show that stable market VaR modeling outperforms the “normal” modeling for high values of the VaR confidence level. The chapter also develops a new technique ...
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