1 / 91

Comparing Value-at-Risk Methodologies

Comparing Value-at-Risk Methodologies. Breno Néri New York University breno.neri@nyu.edu http://homepages.nyu.edu/ ~bpn207 With Luiz Lima Financial Economics Workshop November 12 th , 2007. 1987: Black Monday - 23% drop in value 1995: Mexico 1997: Asia 1998: Russia and Latin America

Download Presentation

Comparing Value-at-Risk Methodologies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Comparing Value-at-Risk Methodologies Breno Néri New York University breno.neri@nyu.edu http://homepages.nyu.edu/~bpn207 With Luiz Lima Financial Economics Workshop November 12th, 2007

  2. 1987: Black Monday - 23% drop in value 1995: Mexico 1997: Asia 1998: Russia and Latin America 1998: Long-Term Capital Management Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Market Risk Exposure Oliver Linton Value-at-Risk Breno Néri

  3. Market Risk Exposure Efficiency 1996: amendment to the 1988 Basle Capital Accord 1998: adopted by U.S. bank regulatory agencies Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Measures of Market Risk Lopez (JR, 1999) Value-at-Risk Breno Néri

  4. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application VaR(p) Value-at-Risk Breno Néri

  5. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application VaR(p) Value-at-Risk Breno Néri

  6. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework Giot and Laurent (JEF, 2004) Value-at-Risk Breno Néri

  7. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • Conditional Mean: OLS • Lags and/or other Conditioning Variables • Information Criteria: • Akaike: AIC • Schwarz (Bayesian): BIC • Shibata • Hannan-Quinn Value-at-Risk Breno Néri

  8. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Value-at-Risk Breno Néri

  9. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework ARCH(p) • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Engle (EC’A, 1982) Value-at-Risk Breno Néri

  10. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework GARCH(p,q) • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Bollerslev (JE, 1986) Value-at-Risk Breno Néri

  11. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework APARCH(p,q) • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Ding, Granger and Engle (JEF, 1993) He and Teräsvirta (1999a,b) Value-at-Risk Breno Néri

  12. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework Skewed Student-t Fernández and Steel (JASA,1998) Lambert and Laurent (2001) Value-at-Risk Breno Néri

  13. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile J.P. Morgan (1996) Value-at-Risk Breno Néri

  14. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Value-at-Risk Breno Néri

  15. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Value-at-Risk Breno Néri

  16. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Value-at-Risk Breno Néri

  17. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Giot (JFM, 2003) Giot and Laurent (JAE, 2003) Value-at-Risk Breno Néri

  18. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application General Framework • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Value-at-Risk Breno Néri

  19. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Exponential Power Function Value-at-Risk Breno Néri

  20. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Exponential Power Function Value-at-Risk Breno Néri

  21. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Exponential Power Function Value-at-Risk Breno Néri

  22. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Skewed Exponential Power Function: Skewed Gaussian Skewed Student-t Exponential Power Function Value-at-Risk Breno Néri

  23. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Minimum/Maximum Extremum Estimators M-Estimators Huber (1964, 1965, 1982, 1981) Wooldridge / Green / Davidson and Mackinnon Value-at-Risk Breno Néri

  24. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators Wooldridge Value-at-Risk Breno Néri

  25. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Uniform Weak Law of Large Numbers M-Estimators Wooldridge Value-at-Risk Breno Néri

  26. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Uniform Weak Law of Large Numbers M-Estimators Wooldridge Value-at-Risk Breno Néri

  27. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators Value-at-Risk Breno Néri

  28. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators Value-at-Risk Breno Néri

  29. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators Value-at-Risk Breno Néri

  30. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators Value-at-Risk Breno Néri

  31. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators: FOC Value-at-Risk Breno Néri

  32. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators: Examples Value-at-Risk Breno Néri

  33. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators: Examples Value-at-Risk Breno Néri

  34. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimators: Examples Value-at-Risk Breno Néri

  35. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimator: Quantile Regression Value-at-Risk Breno Néri

  36. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimator: Quantile Regression Value-at-Risk Breno Néri

  37. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimator: Quantile Regression Value-at-Risk Breno Néri

  38. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimator: Quantile Regression Value-at-Risk Breno Néri

  39. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application M-Estimator: Quantile Regression Value-at-Risk Breno Néri

  40. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Quantile Regression: Equivariance Koenker and Portnoy (BSA, 1996) Value-at-Risk Breno Néri

  41. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Quantile Regression Koenker and Portnoy (BSA, 1996) Value-at-Risk Breno Néri

  42. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application ARCH Quantile VaR • RiskMetrics • Gaussian GARCH • Skewed-t APARCH • ARCH Quantile Wu and Xiao (JR, 2002) Value-at-Risk Breno Néri

  43. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application ARCH Quantile VaR Wu and Xiao (JR, 2002) Value-at-Risk Breno Néri

  44. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application ARCH Quantile VaR Value-at-Risk Breno Néri

  45. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application More on Quantile Regression • Original Paper: • Koenker and Basset (Econometrica, 1978) • Goodness of Fit: • Koenker and Machado (JASA, 1999) • Inference on Quantile Regression Process: • Koenker and Xiao (Econometrica, 2002) • Quantile AutoRegressive Model, QAR(p): • Koenker and Xiao (2004a) • Unit Root Test for each quantile in a QAR(p): • Koenker and Xiao (JASA, 2004b) Value-at-Risk Breno Néri

  46. Unconditional Coverage Point Estimator for p Independence Conditional Coverage Dynamic Quantile Magnitude Loss Function Other Backtests Time Until First Failure Duration Based Approach Mixed Test CD-Test Scale CD-Method Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Backtests Value-at-Risk Breno Néri

  47. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Unconditional Coverage Point Estimator for p Independence Conditional Coverage Dynamic Quantile Magnitude Loss Function Other Backtests Time Until First Failure Duration Based Approach Mixed Test CD-Test Scale CD-Method Backtests Kupiec (JD, 1995) Value-at-Risk Breno Néri

  48. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Unconditional Coverage Point Estimator for p Independence Conditional Coverage Dynamic Quantile Magnitude Loss Function Other Backtests Time Until First Failure Duration Based Approach Mixed Test CD-Test Scale CD-Method Backtests Haas (2001) Value-at-Risk Breno Néri

  49. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Unconditional Coverage Point Estimator for p Independence Conditional Coverage Dynamic Quantile Magnitude Loss Function Other Backtests Time Until First Failure Duration Based Approach Mixed Test CD-Test Scale CD-Method Backtests Christoffersen (IER, 1998) Value-at-Risk Breno Néri

  50. Value-at-Risk Quantile Regression Backtest Monte Carlo Empirical Application Unconditional Coverage Point Estimator for p Independence Conditional Coverage Dynamic Quantile Magnitude Loss Function Other Backtests Time Until First Failure Duration Based Approach Mixed Test CD-Test Scale CD-Method Backtests Christoffersen (IER, 1998) Value-at-Risk Breno Néri

More Related