Consequences of the euro introduction on market riskan econometric evidence from 1995-2004
- PIÑEIRO, Juan 1
- TAMAZIAN, Artur 1
- MELIKYAN, David N. 2
- 1 University of Santiago de Compostela,
- 2 AEPLAC
ISSN: 1578-4487
Ano de publicación: 2006
Volume: 6
Número: 2
Páxinas: 47-62
Tipo: Artigo
Outras publicacións en: Applied econometrics and international development
Resumo
In the last years the interest in the Value at Risk (VaR) estimation has significantly growth due to international financial instability. We modelled the daily VaR estimation trough different static and non-static variance techniques in order to evaluate the changes produced in financial risk caused by the Euro introduction. Our analysis covers 10 European indices and neutral DJIA as a mirror for common world developments. Estimations are made on 1000 ex-ante and 1000 ex-post data points and backtested on the next 250 for each index by Kupiec’s (1995) methodology. At this stage of the ongoing research it is already clear that in general VaR has grown significantly after introducing Euro, which in turn claims for new commercial bank capital requirements according to Basle Accord. We also have shown how the nonstatic models are more suitable for the variance prediction.
Referencias bibliográficas
- Basle Committee on Banking Supervision, 1996, Supplement to the Capital Accord to Incorporate Market Risks, Basle: Basle Committee on Banking Supervision
- Bollerslev, T. (1986), Generalized Autogreressive Conditional Heteroskedasticity, Journal of Econometrics, 31, pp. 307-327.
- Engle, R. (1982), Autogregressive Conditional Heteroskedasticity with Estimates of the Variance of UK Inflation, Econometrica, 50, 987-1008.
- Figlewski, S. (1994), Forecasting Volatility Using Historical Data, New York University, Working Paper 13.
- Jorion, P. (1997), Value at Risk, Irvine, Chicago.
- Jorion, P. (2000), Value-at-Risk: The New Benchmark for Managing Financial Risk, McGraw-Hill
- J.P. Morgan Bank (1996), RiskMetricsTM Technical Document (4 ed.), New York: J.P. Morgan Bank.
- Hull, John and Alan White (1998), Value at Risk When Daily Changes in Market Variables are not Normally Distributed, Journal of Derivatives, 5, pp. 9-19
- Hull, J. and A. White (1998), Incorporating Volatility Updating into Historical Simulation Method for Value at Risk," Journal of Risk, 1, pp. 5-19.
- Kupiec, P. (1995), Techniques for Verifying the Accuracy of Risk Measurement Models, Journal of Derivatives, 2, pp. 73-84.
- Lee and Saltoglu (2002), Assessing the Risk Forecasts for Japan, Japan and the World Economy, 14, 1, pp. 63-87
- McNeil, A.J. and R. Frey (2000), Estimation of Tail-related Risk Measures for Heteroskedastic Financial Time Series: An Extreme Value Approach, Journal of Empirical Finance, 7, pp. 271-300.
- Penza and Bansal (2001), “Measuring Market Risk with Value at Risk”, John Wiley and Sons
- Rockinger, M. and E. Jondeau (2002), Entropy Densities with an Application to Autoregressive Conditional Skewness and Kurtosis, Journal of Econometrics, 106(1), pp. 119-142.
- Taylor, J.W. (1999), Evaluating Volatility and Interval Forecasts, Journal of Forecasting, 18, pp. 111-128.
- Van den Goorbergh R. and Vlaar P. (1999), Value at Risk Analysis of Stock Returns: Historical Simulation, Variance Techniques or Tail Index Estimation? manuscript, Tilburg University.