Showing 1 - 10 of 28
This article examines the volatility forecasting abilities of three approaches: GARCH-type model that uses carbon … document that GARCH-type models perform better than an implied volatility and the k-nearest neighbor model. This result …
Persistent link: https://www.econbiz.de/10010868786
large number of forecasting models have been designed to forecast crude oil prices' volatility, so far the relative … performance evaluation of competing forecasting models remains an exercise that is unidimensional in nature. To be more specific …
Persistent link: https://www.econbiz.de/10010571716
increased interest in recent research. Using a dummy-augmented GARCH model, we investigate whether the occurrence of this …
Persistent link: https://www.econbiz.de/10010323003
Natural gas is likely to become increasingly important in the future. Understanding the stochastic underpinnings of natural gas prices will be critical, both to policy analysts and to market participants. To this end, we investigate the potential presence of jumps in natural gas spot prices in...
Persistent link: https://www.econbiz.de/10010333409
We propose a novel method of Mean-Capital Requirement portfolio optimization. The optimization is performed using a parallel framework for optimization based on the Nondominated Sorting Genetic Algorithm II. Capital requirements for market risk include an additional stress component introduced...
Persistent link: https://www.econbiz.de/10011615848
cryptocurrencies, i.e. Bitcoin, Ethereum, Ripple and Litecoin. More than 1,000 GARCH models are fitted to the log returns of the … well as using a Model Confidence Set (MCS) procedure for their loss functions. The results imply that using standard GARCH …
Persistent link: https://www.econbiz.de/10011931917
The paper considers the Markov-Switching GARCH(1,1)-model with time-varying transition probabilities. It derives … empirical observation that estimated GARCH-parameters often sum to almost one. …
Persistent link: https://www.econbiz.de/10010264309
trading as a policy measure. Applying combined jump GARCH models yields strong evidence of conditional jump behavior. This …
Persistent link: https://www.econbiz.de/10010266050
GARCH in order to characterize the behavior of daily, weekly as well as monthly oil prices. Secondly, it relates its … characterized by GARCH as well as conditional jump behavior and that a considerable portion of the total variance is triggered by …
Persistent link: https://www.econbiz.de/10010278896
Conditional Heteroscedasticity (GARCH) volatility model. The optimization was performed by employing a Nondominated Sorting … to those obtained from applying more customary mean-multivariate GARCH and historical VaR models. The results hold true …
Persistent link: https://www.econbiz.de/10011431272