Abstract
Filtered historical simulation provides the general framework to our backtests of portfolios of derivative securities held by a large sample of financial institutions. We allow for stochastic volatility and exchange rates. Correlations are maintained implicitly by our simulation procedure. Options are re-priced at each node. Overall results support the adequacy of our framework, but our VaR numbers are too high for swap portfolios at long horizons and too low for options and futures portfolios at short horizons.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barone Adesi G., F. Bourgoin and K. Giannopoulos (1998), Don’t Look Back, Risk, 11, August, pp. 100–104.
Barone Adesi G. and K. Giannopoulos (1996), A Simplified Approach to the Conditional Estimation of Value at Risk, Futures and Options World, October, pp. 68–72.
Barone Adesi G., K. Giannopoulos and L. Vosper (1999), VaR without Correlations for Non-linear Portfolios, Journal of Futures Markets, 19, August, pp. 583–602.
Basle Committee on Banking Supervision (1996), Supervisory Framework for the Use of Backtesting in Conjunction with the Internal Models Approach to Market Risk Capital Requirements, Basle.
Bollerslev T. (1986), Generalised Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31, pp. 307–327.
Butler J. S. and B. Schachter (1998), Estimating Value at Risk by Combining Kernel Estimation with Historical Simulation, Review of Derivatives Research, 1, pp. 371–390.
Embrechts P., Kluppelberg C. and Mikosch T. (1997) Modelling Extreme Events for Insurance and Finance, Springer, Berlin.
Jamshidian F. and Y. Zhu (1997), Scenario Simulation Model: Theory and Methodology, Finance and Stochastics, 1, pp. 43–67.
Kendall M. (1953), The Analysis of Economic time-Series, Journal of the Royal Statistical Society, 96, pp. 11–25.
Ljung G. M. and G. E. P. Box (1978), On a Measure of Lack of Fit in Time Series Models, Biometrika, 67, pp. 297–303.
Longin F. (2000) From Value at Risk to Stress Testing: the Extreme Value Approach, Journal of Banking and Finance, 24, pp. 1097–1130.
Mandelbrot B. (1963), The Variation of Certain Speculative Prices, Journal of Business, 36, pp. 394–419.
Markowitz H. (1959), Portfolio Selection: Efficient Diversification of Investments, John Wiley, New York.
RiskMetrics (1993), Technical Document. 1st edition, JP Morgan Publication (available on their website).
Van den Goorbergh R. and P. Vlaar (1999) Value at Risk Analysis of Stock Returns: Historical Simulation, Variance Techniques or Tail Index Estimation?, Manuscript, Tilburg University.
Vlaar P. (2000) Value at Risk Models for Dutch Bond Portfolios, Journal of Banking and Finance, 24, pp. 1131–1154.
Editor information
Editors and Affiliations
Copyright information
© 2014 Giovanni Barone Adesi
About this chapter
Cite this chapter
Adesi, G.B., Giannopoulos, K., Vosper, L. (2014). Backtesting Derivative Portfolios with FHS. In: Adesi, G.B. (eds) Simulating Security Returns: A Filtered Historical Simulation Approach. Palgrave Pivot, New York. https://doi.org/10.1057/9781137465559_3
Download citation
DOI: https://doi.org/10.1057/9781137465559_3
Publisher Name: Palgrave Pivot, New York
Print ISBN: 978-1-349-49957-1
Online ISBN: 978-1-137-46555-9
eBook Packages: Palgrave Economics & Finance CollectionEconomics and Finance (R0)