to cointegration. -- implied volatility surface ; dynamic semiparametric factor model ; VAR ; cointegration …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 …

three market regimes. A consistent parametric framework of stochastic volatility is used. All empirical market utility …

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 …

The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied … Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small … investigating long range dependence in the factor loadings series. Our result reveals that shocks to volatility persist for a very …

financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH … to forecast financial markets volatility. The real data in this study uses British Pound-US Dollar (GBP) daily exchange … examined to the free parameters. Keywords: recurrent support vector regression ; GARCH model ; volatility forecasting …

With the recent availability of high-frequency Financial data the long range dependence of volatility regained … researchers' interest and has lead to the consideration of long memory models for realized volatility. The long range diagnosis of … volatility, however, is usually stated for long sample periods, while for small sample sizes, such as e.g. one year, the …

time diffusion models ; models with jumps ; stochastic volatility ; GARCH …

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …