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Part of the book series: Lecture Notes in Statistics ((LNS,volume 147))

Abstract

With the implementation of Value-at-Risk (VaR) models a new chapter of risk management was opened. Their ultimate goal is to quantify the uncertainty about the amount that may be lost or gained on a portfolio over a given period of time. Most generally, the uncertainty is expressed by a forecast distribution P t+1 for period t+1 associated with the random variable L t+1, denoting the portfolio’s profits and losses (P&L).

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© 2000 Springer Science+Business Media New York

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Härdle, W., Stahl, G. (2000). Backtesting beyond VaR. In: Franke, J., Stahl, G., Härdle, W. (eds) Measuring Risk in Complex Stochastic Systems. Lecture Notes in Statistics, vol 147. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1214-0_7

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  • DOI: https://doi.org/10.1007/978-1-4612-1214-0_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98996-9

  • Online ISBN: 978-1-4612-1214-0

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