Abstract
The Value-at-Risk (VaR) is probably the most known measure for quantifying and controlling the risk of a portfolio. The establishment of the VaR is of central importance for a credit institute, since it is the basis for a regulatory notification technique and for required equity investments. The description of risk is done with the help of an “internal model”, whose job is to reflect the market risk of portfolios and similar risky investments over time. This often occurs though the choice of suitable portfolios of a specific risk factor, i.e., through principal components analysis (Chapter 19). With risks from option trading a linear transformation is often applied using the “Greeks” (Chapter 6).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Recommended Literature
RiskMetrics (1996). Technical document, 4th edition.
Leadbetter, M., Lindgren, G. and Rootzen, H. (1983). Extremes and related properties of random sequences and processes, Springer Series in Statistics, Springer-Verlag, New York - Heidelberg - Berlin.
Embrechts, P., McNeil, A. and Straumann, D. (1999b). Correlation: Pitfalls and alternatives, RISK May: 69–71.
McAllister, P. H. and Mingo, J. J. (1996). Bank capital requirements for securitzed loan portfolios, Journal of Banking and Finance 20.
Embrechts, P., McNeil, A. and Straumann, D. (1999b). Correlation: Pitfalls and alternatives, RISK May: 69–71.
Heath, D., J. R. and Morton, A. (1992). Bond pricing and the term structure of interest rates: a new methodology for contingent claims valuation., Econometrica 60: 77–105.
Leadbetter, M., Lindgren, G. and Rootzen, H. (1983). Extremes and related properties of random sequences and processes, Springer Series in Statistics, Springer-Verlag, New York - Heidelberg - Berlin.
Jorion, P. (2000). Value at Risk: The New Benchmark for Managing Financial Risk, McGraw-Hill, New York.
Taleb, N. (1997). Dynamic Hedging: Managing Vanilla and Exotic Options, John Wiley and Sons, New York.
Franke, J., Härdle, W. and Stahl, G. (eds) (2000). Measuring Risk in Complex Stochastic Systems, Vol. 147 of Lecture Notes in Statistics, Springer Verlag, New York.
Overbeck, L. (2000). Allocation of economic capital in loan portfolios, in J. Franke, W. Härdle and G. Stahl (eds), Measuring Risk in Complex Stochastic Systems, Springer Verlag, pp. 1–15.
Lehrbass, F. (2000). A simple approach to country risk, in J. Franke, W. Härdle and G. Stahl (eds), Measuring Risk in Complex Stochastic Systems, Springer Verlag, pp. 33–65.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Franke, J., Härdle, W., Hafner, C.M. (2004). Value at Risk and Backtesting. In: Statistics of Financial Markets. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-10026-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-662-10026-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21675-9
Online ISBN: 978-3-662-10026-4
eBook Packages: Springer Book Archive