Bayesian testing volatility persistence in stochastic volatility models with jumps
نویسندگان
چکیده
منابع مشابه
Beyond Stochastic Volatility and Jumps in Returns and Volatility
While a great deal of attention has been focused on stochastic volatility in stock returns, there is strong evidence suggesting that return distributions have time-varying skewness and kurtosis as well. Under the risk-neutral measure, for example, this can be seen from variation across time in the shape of Black-Scholes implied volatility smiles. This paper investigates model characteristics th...
متن کاملSequential Monte Carlo Methods for Stochastic Volatility Models with Jumps
In this paper we propose a sequential Monte Carlo algorithm to estimate a stochastic volatility model with leverage effect, non constant conditional mean and jumps. Our idea relies on the auxiliary particle filter algorithm together with the Markov Chain Monte Carlo (MCMC) methodology. Our method allows to sequentially evaluate the parameters and the latent processes involved in the dynamic of ...
متن کاملExotic derivatives under stochastic volatility models with jumps
In equity and foreign exchange markets the risk-neutral dynamics of the underlying asset are commonly represented by stochastic volatility models with jumps. In this paper we consider a dense subclass of such models and develop analytically tractable formulae for the prices of a range of first-generation exotic derivatives. We provide closed form formulae for the Fourier transforms of vanilla a...
متن کاملStochastic Volatility with Reset at Jumps
This paper presents a model for asset returns incorporating both stochastic volatility and jump e ects. The return process is driven by two types of randomness: small random shocks and large jumps. The stochastic volatility process is a ected by both types of randomness in returns. Speci cally, in the absence of large jumps, volatility is driven by the small random shocks in returns through a G...
متن کاملVolatility Derivatives in Market Models with Jumps
It is well documented that a model for the underlying asset price process that seeks to capture the behaviour of the market prices of vanilla options needs to exhibit both diffusion and jump features. In this paper we assume that the asset price process S is Markov with càdlàg paths and propose a scheme for computing the law of the realized variance of the log returns accrued while the asset wa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quantitative Finance
سال: 2014
ISSN: 1469-7688,1469-7696
DOI: 10.1080/14697688.2014.880124