Abstract
Nowadays stress-testing is a popular framework for the analysis of the financial stability of different markets’ institutes and objects. This work proposes a new approach to trading book stress-testing by building price paths based on generalized autoregressive conditional the heteroskedasticity (GARCH) model with Pareto distribution for the random fluctuation of prices and t-copula for describing the dependency structure between factors.
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Boldyrev, K., Andrianov, D., Ivliev, S. (2015). Construction and Backtesting of a Multi-Factor Stress-Scenario for the Stock Market. In: Bera, A., Ivliev, S., Lillo, F. (eds) Financial Econometrics and Empirical Market Microstructure. Springer, Cham. https://doi.org/10.1007/978-3-319-09946-0_4
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DOI: https://doi.org/10.1007/978-3-319-09946-0_4
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