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average daily returns, even though the volatility is virtually unchanged when the frequency is lower. The volatility from the … highest to the lowest frequency is about 30% lower as compared with the buy-and-hold strategy volatility, but the average … returns approach the buy-and-hold returns when frequency is lower. The 30% reduction in volatility appears if we invest …
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This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...
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The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … definite. Using this approach we can disentangle the estimates of the integrated co-volatility matrix and jump variations from … the co-jumps of two assets have a significant impact on future co-volatility, but that the impact is negligible for …
Persistent link: https://www.econbiz.de/10010477100
Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
Persistent link: https://www.econbiz.de/10010533206
factor. Second, we specify the overall volatility as a generalized autoregressive conditional heteroscedasticity (GARCH …
Persistent link: https://www.econbiz.de/10011373825