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only its applicability to arbitrary continuous distributions but also the evaluation of the forecast accuracy in specific …
Persistent link: https://www.econbiz.de/10013115624
Persistent link: https://www.econbiz.de/10009581927
This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over time using a modified form of the Gram-Charlier density...
Persistent link: https://www.econbiz.de/10013105503
Multidimensional Value at Risk (MVaR) generalises VaR in a natural way as the intersection of univariate VaRs. We reduce the dimensionality of MVaRs which allows for adapting the techniques and applications developed for VaR to MVaR. As an illustration, we employ VaR forecasting and evaluation...
Persistent link: https://www.econbiz.de/10014120778
We define the Multidimensional Value at Risk (MVaR) as a natural generalization of VaR. This generalization makes a number of important applications possible. For example, many techniques developed for VaR can be applied to MVaR directly. As an illustration, we employ VaR forecasting and...
Persistent link: https://www.econbiz.de/10012871618
This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over time using a modified form of the Gram-Charlier density...
Persistent link: https://www.econbiz.de/10011731521
forecast evaluation framework as a simple alternative to other approaches. In simulation experiments and an empirical …
Persistent link: https://www.econbiz.de/10011431370
We investigate the effect of estimation error on backtests of (multi-period) expected shortfall (ES) forecasts. These backtests are based on first order conditions of a recently introduced family of jointly consistent loss functions for Value-at-Risk (VaR) and ES. We provide explicit expressions...
Persistent link: https://www.econbiz.de/10012057163
In this work, we propose an ARMA(1,1)-GARCH(1,1) model with standard classical tempered stable (CTS) innovations for historical daily returns of 29 selected stocks. The non-Gaussian nature of the innovations captures the fat-tail property observed in data. The dependency between different assets...
Persistent link: https://www.econbiz.de/10013109131
This paper examines the time-varying dependence structure of commodity futures portfolios based on multivariate dynamic copula models. The importance of accounting for time-variation is emphasized in the context of the Basel traffic light system. We enhance the exibility of this structure by...
Persistent link: https://www.econbiz.de/10011344180