allows us to obtain an estimator of the conditional volatility per time. this kind of volatility estimation solves the …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …

S&P 500 Index option-based volatility indexes have untenable risk-return profiles. These volatility indexes are not … designed with consideration of important real-world risk characteristics of options and fail to represent volatility as a … cardinal characteristics of options on S&P 500 Index, central to designing viable volatility investment strategies, are …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …

As a function of strike and time to maturity the implied volatility estimation is a challenging task in financial … volatility surface (IVS) in a dynamic context, employing semiparametric factor functions and time-varying loadings. Because … financial asset volatilities move over time, across assets and over markets, this paper analyses volatility interaction between …

volatility, and increase the share of profits for unsophisticated human traders. Our results offer unique evidence that non …