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This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the … microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high …
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This paper deals with the estimation of the risk-return trade-off. We use a MIDAS model for the conditional variance …
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We compare more than 1000 different volatility models in terms of their fit to the historical ISE-100 Index data and their forecasting performance of the conditional variance in an out-of-sample setting. Exponential GARCH model of Nelson (1991) with “constant mean, t-distribution, one lag...
Persistent link: https://www.econbiz.de/10013159436
In this article, the authors measure the impact of estimation error on latent factor model forecasts of portfolio risk … find that an estimation period of 250 days may be adequate to accurately forecast risk and factor exposures for an equally … an estimation period of 1000 days. This underscores the importance of testing risk models on optimized portfolios …
Persistent link: https://www.econbiz.de/10012903199
. We also extend our results to integrated quarticity and higher-order variation estimation, and then propose a new jump …, comparing with alternative methods. The simulations support our theoretical results on volatility estimation and demonstrate …
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density estimation have significantly lower standard errors when compared to estimates derived via the usual method of …
Persistent link: https://www.econbiz.de/10012966101
In this paper we estimate the skewness of the unconditional distribution of energy returns and test its statistical significance. We compare the performance of traditional and robust tests for symmetry with those based on the implied unconditional skewness in a TGARCH model with Gram-Charlier...
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