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trader identifiers at a tick transaction level. Jumps are frequent events and they cluster in time. The order flow imbalance … and the preponderance of aggressive traders, as well as a widening of the bid-ask spread predict them. Jumps have short …
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of factor jumps. Such jump dependence is implied by standard linear factor models. Our inference is based on a panel of …
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Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011730304
assumptions of jumps in prices and leverage effects for volatility. Findings suggest that daily-data models are preferred to HF …-data models at 5% and 1% VaR level. Specifically, independently from the data frequency, allowing for jumps in price (or providing …
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, empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction, non-linear dynamic model of …
Persistent link: https://www.econbiz.de/10010465152
The Efficiency Market Hypotheses (EMH) imply rational investors and no asset mispricing in the medium run. This paper critically evaluates on the point of whether an asset price bubble is an irrational phenomenon that cannot be detected. Thereby, I review the existing literature and reflect on...
Persistent link: https://www.econbiz.de/10012908576
This paper introduces the Markov-Switching Multifractal Duration (MSMD) model by adapting the MSM stochastic volatility model of Calvet and Fisher (2004) to the duration setting. Although the MSMD process is exponential ß-mixing as we show in the paper, it is capable of generating highly...
Persistent link: https://www.econbiz.de/10010499581