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We study the real-time characteristics and drivers of jumps in option prices. To this end, we employ high frequency data from the 24-hour E-mini S&P 500 options market. We find that option prices do not jump simultaneously across strikes and maturities and are uncorrelated with jumps in the...
Persistent link: https://www.econbiz.de/10010472845
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional datasets. We … forecasting using diffusion indices. Journal of Business and Economic Statistics, 20, 147–162] for the stochastic volatility …
Persistent link: https://www.econbiz.de/10013159687
Persistent link: https://www.econbiz.de/10012317888
We provide first-time evidence of the real-time characteristics and drivers of jumps in option prices. To this end, we employ high frequency data from the 24-hour E-mini S&P 500 options market. We find that option prices do not jump simultaneously across strikes and maturities and are...
Persistent link: https://www.econbiz.de/10012905092
We provide first-time evidence of the real-time characteristics and drivers of jumps in option prices. To this end, we employ high-frequency data from the 24-hour E-mini S&P 500 options market. We find that option prices do not jump simultaneously across strikes and maturities and are...
Persistent link: https://www.econbiz.de/10012859159
There is a growing literature on the realized volatility (RV) forecasting of asset returns using high-frequency data …
Persistent link: https://www.econbiz.de/10010678826
The rank of the Hankel matrix, corresponding to a system transfer function, is equal to the order of its minimal state space realization. The computation of the rank of the Hankel matrix is complicated by the fact that its block elements are rarely given exactly but are estimated instead. In...
Persistent link: https://www.econbiz.de/10011604091
The rank of the spectral density matrix conveys relevant information in a variety of modelling scenarios. Phillips (1986) showed that a necessary condition for cointegration is that the spectral density matrix of the innovation sequence at frequency zero is of a reduced rank. In a recent paper...
Persistent link: https://www.econbiz.de/10011604108
The rank of the spectral density matrix conveys relevant information in a variety of statistical modelling scenarios. This note shows how to estimate the rank of the spectral density matrix at any given frequency. The method presented is valid for any hermitian positive de?nite matrix estimate...
Persistent link: https://www.econbiz.de/10011604395
Testing and estimating the rank of a matrix of estimated parameters is key in a large variety of econometric modelling scenarios. This paper describes general methods to test for and estimate the rank of a matrix, and provides details on a variety of modelling scenarios in the econometrics...
Persistent link: https://www.econbiz.de/10011604896