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Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative … shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator (QMLE) of the EGARCH …
Persistent link: https://www.econbiz.de/10010384390
forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures …
Persistent link: https://www.econbiz.de/10010259630
We introduce a dynamic statistical model for Skellam distributed random variables. The Skellam distribution can be obtained by taking differences between two Poisson distributed random variables. We treat cases where observations are measured over time and where possible serial correlation is...
Persistent link: https://www.econbiz.de/10010253460
Persistent link: https://www.econbiz.de/10011550112
We investigate high-frequency volatility models for analyzing intra-day tick by tick stock price changes using Bayesian … estimation procedures. Our key interest is the extraction of intra-day volatility patterns from high-frequency integer price … distributions. We allow for stochastic volatility by modeling the variance as a stochastic function of time, with intra-day periodic …
Persistent link: https://www.econbiz.de/10011456723
Persistent link: https://www.econbiz.de/10011504522
volatility) associated with financial returns, was the portmanteau statistic for non-causality in variance of Cheng and Ng (1996 … the paper is to derive a simple test for causality in volatility that provides regularity conditions arising from the …
Persistent link: https://www.econbiz.de/10011556246
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative … shocks to volatility. However, the statistical properties of the (quasi-) maximum likelihood estimator (QMLE) of the EGARCH …
Persistent link: https://www.econbiz.de/10010477092
The three most popular univariate conditional volatility models are the generalized autoregressive conditional … models are important in estimating and forecasting volatility, as well as capturing asymmetry, which is the different effects … on conditional volatility of positive and negative effects of equal magnitude, and leverage, which is the negative …
Persistent link: https://www.econbiz.de/10010405194
The three most popular univariate conditional volatility models are the generalized autoregressive conditional … models are important in estimating and forecasting volatility, as well as in capturing asymmetry, which is the different … effects on conditional volatility of positive and negative effects of equal magnitude, and purportedly in capturing leverage …
Persistent link: https://www.econbiz.de/10010417180