Showing 1 - 10 of 302
Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise … posterior and traditional Bayesian Model Averaging techniques in applications of Value-at-Risk prediction in GARCH models. …
Persistent link: https://www.econbiz.de/10010326148
autoregressive score (GAS) models have similar predictive accuracy to correctly specified parameter-driven models. In most cases … alternatives. We also find that GAS models outperform many familiar observation-driven models in terms of forecasting accuracy. The …
Persistent link: https://www.econbiz.de/10010326198
This paper develops a novel approach to modeling and forecasting realized volatility (RV) measures based on copula functions. Copula-based time series models can capture relevant characteristics of volatility such as nonlinear dynamics and long-memory type behavior in a flexible yet parsimonious...
Persistent link: https://www.econbiz.de/10010326314
For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers the stochastic volatility model with asymmetry and...
Persistent link: https://www.econbiz.de/10011662515
The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modelling and Management” (RMM2011). The papers cover the following topics: currency hedging...
Persistent link: https://www.econbiz.de/10010326135
Patton and Timmermann (2012, 'Forecast Rationality Tests Based on Multi-Horizon Bounds', Journal of Business & Economic Statistics, 30(1) 1-17) propose a set of useful tests for forecast rationality or optimality under squared error loss, including an easily implemented test based on a...
Persistent link: https://www.econbiz.de/10010326495
of application is accurate prediction of financial risk measures, where the area of interest is the left tail of the …
Persistent link: https://www.econbiz.de/10012114810
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/10012114811
We propose a smooth shadow-rate version of the dynamic Nelson-Siegel (DNS) model to analyze the term structure of interest rates during the recent zero lower bound (ZLB) period. By relaxing the no-arbitrage restriction, our shadow-rate model becomes highly tractable with a closed-form yield...
Persistent link: https://www.econbiz.de/10013356467
Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....
Persistent link: https://www.econbiz.de/10010377197