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value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by … Muneer & Maheswaran (2018b). We show that the robust volatility ratio is unbiased both in the population as well as in finite … samples. We empirically test the robust volatility ratio on 9 global stock indices from America, Asia Pacific and EMEA markets …
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This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
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This study reconsiders the role of jumps for volatility forecasting by showing that jumps have a positive and mostly … significant impact on future volatility. This result becomes apparent once volatility is separated into its continuous and … yields) shows that the proposed techniques improve significantly the accuracy of volatility forecasts especially in periods …
Persistent link: https://www.econbiz.de/10008729093
statistics for which no finite-sample distributional theory is yet available, such as the standard statistic proposed by Hausman … phenomenon typically disappears. We present simulation evidence which confirms the finite-sample theory. The theoretical results …
Persistent link: https://www.econbiz.de/10012966708
Applications of zero-inflated count data models have proliferated in empirical economic research. There is a downside to this development, as zero-inflated Poisson or zero-inflated Negative Binomial Maximum Likelihood estimators are not robust to misspecification. In contrast, simple Poisson...
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