Volatility is an important component of asset pricing; an increase in volatility on markets can trigger changes in the … hypothesized that there are movements in risk that are driven by volatility linked to sentiment-driven noise trader activity whose … investor sentiment and stock return volatility which shows that behavioural finance can significantly explain the behaviour of …

filtered covariance matrices, for two possible optimization scenarios – maximization of portfolio return at a fixed volatility … and minimization of portfolio volatility at a fixed return. Refer to Appendix A for Complete Series …

This paper examines the degree of persistence in the volatility of financial time series using a Long Memory Stochastic … Volatility (LMSV) model. Specifically, it employs a Gaussian semiparametric (or local Whittle) estimator of the memory parameter … volatility has a component of long- memory behaviour, the order of integration ranging between 0.3 and 0.5, the series being …

This paper examines the degree of persistence in the volatility of financial time series using a Long Memory Stochastic … Volatility (LMSV) model. Specifically, it employs a Gaussian semiparametric (or local Whittle) estimator of the memory parameter … volatility has a component of long- memory behaviour, the order of integration ranging between 0.3 and 0.5, the series being …

experiment in terms of the square root of the volatility function .... As an application, simple rateoptimal estimators of the … volatility and efficient estimators of the integrated volatility are constructed. -- High-frequency data ; integrated volatility …; spot volatility estimation ; Le Cam deficiency ; equivalence of experiments ; Gaussian shift …