The ‘Measuring Market Risk’ (MMR) toolbox enables you to carry out a large number of market risk measurement tasks, including:
· Displays of quantile-quantile (QQ) and mean excess function (mef) plots for exploratory data analysis.
· Estimation of Value at Risk (VaR) and Expected Tail Loss (ETL) using parametric methods, under a variety of alternative distributional assumptions (e.g., normal, lognormal, t, log-t, extreme-value, etc.).
· Estimation of VaR and ETL using non-parametric methods (e.g., historical simulation VaR and ETL, bootstrapped VaR and ETL, estimation of VaR and ETL using principal components, etc.).
· Estimation of VaR and ETL using position-level data and/or portfolio-level data.
· Estimation of confidence intervals for VaR and ETL.
· Extreme-value VaR and ETL analysis.
· Estimation of options VaR and ETL
· Estimation of incremental VaR/ETL, and estimation of hot spots (or risk decomposition) of portfolios.
· Simulation of VaR/ETL for complex positions (e.g., options, fixed-interest, insurance, pensions, etc.).
· Estimating of VaR and ETL using binomial methods.
· Backtesting of market risk models.
Measuring Market Risk (MMR) toolbox
[此贴子已经被作者于2007-2-13 4:25:48编辑过]