[PDF] Top 20 Estimation risk effects on backtesting for parametric value-at-risk models

... The risk measure agreed to determine the amount of capital on hold was the Value-at-Risk ...developed risk management systems this was a priori the only restriction set by the Basel Accord ... See full document

... parameter estimation and forecast, an adaptive MCMC sampling scheme, employing an MH algorithm with a mixture of Gaussian proposal densities, is adopted to improve the efficiency and ...ES backtesting ... See full document

... the models as the size and value factor, and the GRS-tests and alpha results suggest that the Sharp-Lintner CAPM is sufficient to explain all asset ...pricing models been empirical performance, I ... See full document

... internal models in terms of assessing the financial stability of the insurance company, they have the choice to either use the capital requirements laid by the supervisory regulators or keep capital reserves based ... See full document

... Analyzing the results from table 4, we can conclude that the procedures based on the bootstrap perform better, with very few or no exceedences. The percentage of ex- ceedences is close to 1% for these procedures. ... See full document

... successful risk management function to estimate unexpected loss in ...Traditional value-at-risk models based on parametric models are not able to capture the extremes in emerging ... See full document

... Both models pass the Duration-Based test with pretty large ...Hybrid models are more capable of tracking dramatic changes in data than original Hybrid models, the Adaptive Hybrid model with K ... See full document

... the effects of oil price volatility, and the introduction of these measures can reduce or completely elim- inate the negative effects of oil price volatility on ... See full document

... theoretical value, reflecting good VaR ...absolute value of the statistic is generally very small, suggesting that the estimation error may be statistically ac- ceptable and the excess in the cost of ... See full document

... Figure 3 plots the violation sequences for the two banks obtained using their reported P &L and VaRs. The graph suggests that there is at best a weak relationship between the two banks’ violation sequences. Results ... See full document

... counterparty risk into account more specifically, ...contagion models imple- ment credit risk dependencies most realistically, however, the number of parameters rises dramatically for large sets of ... See full document

... the value of Q which is appropriate fo r one portion of the data may tend to exaggerate parameter variation in another part of the data where the variation is smaller, due to observation noise ...the ... See full document

... of estimation risk in conditional risk ...conditional risk measure, for instance a VaR at a given level, in GARCH- type models reduced to the estimation of a parameter, called ... See full document

... quantile risk measure first used by actuaries before it became adopted as a standard risk measure by regulators (see Jorion ...in-house models to measure their trading book market ...portfolio ... See full document

... 12 models for cement industry during expansion ...12 models to identify the optimal ...other models; therefore, cement industry can be characterized using the EWMA model ...suitable models for ... See full document

... at risk — they can trade or invest with borrowed capital, benefitting from the goodwill of the market that they are ‘good’ for it, and from accommodating capital adequacy ... See full document

... As Value at Risk has long been a central focus of risk measurement and management, there has been a huge array of ...VaR models on historical relationships between price movements in different ... See full document

... related risk and would balance risk, profitability, liquidity and security (Lileikiene, ...for risk management (Zukauskas, Neverauskas, 2008). Effective risk valuation for commercial bank ... See full document

... distribution estimation can be partially adjusted because time-dependent correlation path is assumed to be same for all ...the value of CDS spread of a firm is known as a good indicator of its default ... See full document

... states. The distribution is skewed with a long fat right tail. A more detailed description of this portfolio can be found in Bucay and Rosen [4] and Mausser and Rosen [13, 14]. Larsen et al. [9] suggested two heuristic ... See full document