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Persistent link: https://www.econbiz.de/10015177138
While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little … digital asset returns are driven by high frequency jumps clustered around black swan events, resembling volatility and trading … volume seasonalities. Regressions show that intra-day jumps significantly influence end of day returns in size and direction …
Persistent link: https://www.econbiz.de/10012663500
While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little … digital asset returns are driven by high frequency jumps clustered around black swan events, resembling volatility and trading … volume seasonalities. Regressions show that intra-day jumps significantly influence end of day returns in size and direction …
Persistent link: https://www.econbiz.de/10012657696
High frequency financial data allows us to learn more about volatility, volatility of volatility and jumps.  One of the … estimates time-varying volatility robustly to jumps.  We improve the scope and efficiency of multipower variation by the use of …
Persistent link: https://www.econbiz.de/10009650770
High frequency financial data allows us to learn more about volatility, volatility of volatility and jumps. One of the … estimates time-varying volatility robustly to jumps. We improve the scope and efficiency of multipower variation by the use of a …
Persistent link: https://www.econbiz.de/10010554664
the first-order asymptotic validity of this method in the multivariate context with a potential presence of jumps …
Persistent link: https://www.econbiz.de/10010937808
effects, this paper suggests a model in which market prices adjust gradually to jumps in the underlying effcient price. A case …
Persistent link: https://www.econbiz.de/10005198862
Estimating the covariance and correlation between assets using high frequency data is challenging due to market microstructure effects and Epps effects. In this paper we extend Xiu’s univariate QML approach to the multivariate case, carrying out inference as if the observations arise from an...
Persistent link: https://www.econbiz.de/10010553068
Infra-monthly economic time series have become increasingly popular in official statistics in recent years. This evolution has been largely fostered by official statistics' digital transformation during the last decade. The COVID-19 pandemic outbreak in 2020 has added fuel to the fire as many...
Persistent link: https://www.econbiz.de/10014339488
Infra-monthly economic time series have become increasingly popular in official statistics in recent years. This evolution has been largely fostered by official statistics’ digital transformation during the last decade. The COVID-19 pandemic outbreak in 2020 has added fuel to the fire as many...
Persistent link: https://www.econbiz.de/10014336194