McAleer, Michael (2009) The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges. [Working Paper or Technical Report] (Unpublished)
Official URL: http://eprints.ucm.es/8627/
Credit risk is the most important type of risk in terms of monetary value. Another key risk measure is market risk, which is concerned with stocks and bonds, and related
financial derivatives, as well as exchange rates and interest rates. This paper is concerned with market risk management and monitoring under the Basel II Accord, and presents Ten Commandments for optimizing Value-at-Risk (VaR) and daily capital charges, based on choosing wisely from: (1) conditional, stochastic and realized volatility; (2) symmetry, asymmetry and leverage; (3) dynamic correlations and dynamic covariances; (4) single index and portfolio models; (5) parametric, semiparametric and nonparametric models; (6) estimation, simulation and calibration of parameters; (7) assumptions, regularity conditions and statistical properties; (8)accuracy in calculating moments and forecasts; (9) optimizing threshold violations and economic benefits; and (10) optimizing private and public benefits of risk management. For practical purposes, it is found that the Basel II Accord would seem to encourage excessive risk taking at the expense of providing accurate measures and forecasts of risk and VaR.
|Item Type:||Working Paper or Technical Report|
|Additional Information:||El autor pertenece a Departamento de Economía Cuántica de la Universidad Complutense de Madrid y al Econometric Institute. JEL Classifications: G32, G11, G17, C53. Erasmus University Rotterdam|
|Uncontrolled Keywords:||Daily capital charges, Excessive risk taking Market risk, Risk management, Value-at-risk, Violations.|
|Subjects:||Social sciences > Economics > Finance|
|Series Name:||Documentos de trabajo del Instituto Complutense de Análisis Económico (ICAE)|
Aït-Sahalia, Y., P.A. Mykland and L. Zhang (2006), Ultra high Frequency Volatility Estimation with Dependent Microstructure Noise, Working Paper, w11380, NBER.
Asai, M. and M. McAleer (2005), Dynamic Asymmetric Leverage in Stochastic Volatility Models, Econometric Reviews, 24, 317-332.
Asai, M. and M. McAleer (2008a), A Portfolio Index GARCH Model, International Journal of Forecasting, 24, 449-461.
Asai, M. and M. McAleer (2008b), The Structure of Dynamic Correlations in Multivariate Stochastic Volatility Models, to appear in Journal of Econometrics.
Asai, M. and M. McAleer (2008c), Alternative Asymmetric Stochastic Volatility Models, to appear in Econometric Reviews.
Asai, M., M. McAleer and J. Yu (2006), Multivariate Stochastic Volatility: A Review, Econometric Reviews, 25, 145-175.
Bandi, F.M. and J.R. Russell (2007), Volatility Estimation, in J.R. Birge and V. Linetsky (eds.), Handbook of Financial Engineering, Elsevier, Amsterdam.
Barndorff-Nielsen, O.E., P.H. Hansen, A. Lunde and N. Shephard (2008), Subsampling realised kernels, to appear in Econometrica.
Basel Committee on Banking Supervision, (1988), "International Convergence of Capital Measurement and Capital Standards”, BIS, Basel, Switzerland.
Basel Committee on Banking Supervision, (1995), “An Internal Model-Based Approach to Market Risk Capital Requirements”, BIS, Basel, Switzerland.
Basel Committee on Banking Supervision, (1996), “Supervisory Framework for the Use of “Backtesting” in Conjunction with the Internal Model-Based Approach to Market Risk Capital Requirements”, BIS, Basel, Switzerland.
Bauwens, L., S. Laurent and V.K. Rombouts (2006), Multivariate GARCH: A Survey, Journal of Applied Econometrics, 21, 79-109.
Black, F. (1976), Studies of Stock Market Volatility Changes, in 1976 Proceedings of the American Statistical Association, Business and Economic Statistics Section, pp. 177-181.
Bollerslev, T. (1986), Generalised Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, 31, 307-327.
Bollerslev, T. (1990), Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Approach, Review of Economics and Statistics, 72, 498-505.
Caporin, M. and M. McAleer (2008), Scalar BEKK and Indirect DCC, Journal of Forecasting, 27, 537-549.
Comte, F. and O. Lieberman (2003), Asymptotic Theory for Multivariate GARCH Processes, Journal of Multivariate Analysis, 84, 61-84.
Ding, Z., C.W.J. Granger and R.F. Engle (1993), A Long Memory Property of Stock Market Returns and a New Model, Journal of Empirical Finance, 1, 83-106.
Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation, Econometrica, 50, 987-1007.
Engle, R.F. (2002), Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models, Journal of Business and Economic Statistics, 20, 339-350.
Engle, R.F. and K.F. Kroner (1995), Multivariate Simultaneous Generalized ARCH, Econometric Theory, 11, 122-150.
Engle, R.F. and S. Manganelli (2002), .CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles, Journal of Business and Economic Statistics, 22, 367-381.
Glosten, L.R., R. Jagannathan and D.E. Runkle (1992), On the Relation Between the Expected Value and Volatility of the Nominal Excess Return on Stocks, Journal of Finance, 46, 1779-1801.
Jeantheau, T. (1998), Strong Consistency of Estimators for Multivariate ARCH Models, Econometric Theory, 14, 70-86.
Jorion, P. (2000), Value at Risk: The New Benchmark for Managing Financial Risk, McGraw-Hill, New York.
Lee, S.W. and B.E. Hansen (1994), Asymptotic Theory for the GARCH(1,1) Quasi-Maximum Likelihood Estimator, Econometric Theory, 10, 29-52.
Li, W.K., S. Ling and M. McAleer (2002), Recent Theoretical Results for Time Series Models with GARCH Errors, Journal of Economic Surveys, 16, 245-269. Reprinted in M. McAleer and L. Oxley (eds.), Contributions to Financial Econometrics: Theoretical and Practical Issues, Blackwell, Oxford, 2002, pp. 9-33.
Ling, S. and M. McAleer (2002a), Necessary and Sufficient Moment Conditions for the GARCH(r,s) and Asymmetric Power GARCH(r,s) Models, Econometric Theory, 18, 722-729.
Ling, S. and M. McAleer (2002b), Stationarity and the Existence of Moments of a Family of GARCH Processes, Journal of Econometrics, 106, 109-117.
Ling, S. and M. McAleer (2003), Asymptotic Theory for a Vector ARMA-GARCH Model, Econometric Theory, 19, 278-308.
McAleer, M. (1997), The Ten Commandments for Organizing a Conference, Journal of Economic Surveys, 11, 231-233.
McAleer, M. (2005a), Automated Inference and Learning in Modeling Financial Volatility, Econometric Theory, 21, 232-261.
McAleer, M. (2005b), The Ten Commandments for Ranking University Quality, Journal of Economic Surveys, 19, 649-653.
McAleer. M., F. Chan, S. Hoti and O. Lieberman (2008), Generalized Autoregressive Conditional Correlation, Econometric Theory, 24, 1554-1583.
McAleer, M., F. Chan and D. Marinova (2007), An Econometric Analysis of Asymmetric Volatility: Theory and Application to Patents, Journal of Econometrics, 139, 259-284.
McAleer, M., S. Hoti and F. Chan (2008), Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility, to appear in Econometric Reviews.
McAleer. M., J.-Á. Jiménez-Martin and T. Peréz-Amaral (2008), A Strategy for Minimizing Daily Capital Charges for Value-at-Risk, unpublished paper, Department of Economics, Complutense University of Madrid, Spain.
McAleer. M. and M.C. Medeiros (2008a), Realized Volatility: A Review, Econometric Reviews, 27, 10-45.
McAleer. M. and M.C. Medeiros (2008b), A Multiple Regime Smooth Transition Heterogeneous Autoregressive Model for Long Memory and Asymmetries, Journal of Econometrics, 147, 104-119.
McAleer, M. and L. Oxley (2001), The Ten Commandments for Attending a Conference, Journal of Economic Surveys, 15, 671-678.
McAleer, M. and L. Oxley (2002), The Ten Commandments for Presenting a Conference Paper, Journal of Economic Surveys, 16, 215-218.
McAleer, M. and L. Oxley (2005), The Ten Commandments for Academics, Journal of Economic Surveys, 19, 823-826.
McAleer, M. and B. da Veiga (2008a), Forecasting Value-at-Risk with a Parsimonious Portfolio Spillover GARCH (PS-GARCH) Model, Journal of Forecasting, 27, 1-19.
McAleer, M. and B. da Veiga (2008b), Single Index and Portfolio Models for Forecasting Value-at-Risk Thresholds, Journal of Forecasting, 27, 217-235.
Nelson, D. (1991), Conditional Heteroskedasticity in Asset Returns: A New Approach, Econometrica, 59, 347-370.
Pesaran, M.H., C. Schleicher and P. Zaffaroni (2008), Model Averaging in Risk Management with an Application to Futures Markets, to appear in Journal of Empirical Finance.
RiskmetricsTM (1996), J.P. Morgan Technical Document, 4th edition, New York. J.P. Morgan.
Zhang, L., P.A. Mykland and Y. Aït-Sahalia (2005), A Tale of Two Time Scales: Determining Integrated Volatility with Noisy High Frequency Data, Journal of the American Statistical Association, 100, 1394 – 1411.
|Deposited On:||11 Mar 2009 10:57|
|Last Modified:||06 Feb 2014 08:11|
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