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return and volatility processes. Using recently-developed methodologies to detect jumps from high frequency price data, we … "good" and "bad", as well as into continuous and discontinuous risks. Using a long history of the S & P500 price index, we …
Persistent link: https://www.econbiz.de/10011755317
return and volatility processes. Using recently-developed methodologies to detect jumps from high frequency price data, we … "good" and "bad", as well as into continuous and discontinuous risks. Using a long history of the S & P500 price index, we …
Persistent link: https://www.econbiz.de/10011504739
Persistent link: https://www.econbiz.de/10013411711
Persistent link: https://www.econbiz.de/10014526315
While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little …
Persistent link: https://www.econbiz.de/10012657696
Persistent link: https://www.econbiz.de/10014560361
We introduce a heuristic bias-adjustment for the transaction price-based realized range estimator of daily volatility …
Persistent link: https://www.econbiz.de/10010837698
Hawkes point process model to price changes of major currency pairs and equity futures, we construct a decomposition of the … variance of high frequency price changes into an exogenous (and thus efficient) component and an endogenous (and thus …
Persistent link: https://www.econbiz.de/10012518955
In the classical ARCH model of Engle [1982] the conditional variance is a linear function of lagged squared residuals. In this paper I introduce nonlinearity, by adding a term that consists of a constant parameter multiplied by a transition function. Two different transition functions are...
Persistent link: https://www.econbiz.de/10005649476
We study the accuracy of a wide variety of estimators of asset price variation constructed from high-frequency data (so …
Persistent link: https://www.econbiz.de/10011004204