Showing 1 - 10 of 12
In this paper, we study financial markets with stochastic volatilities driven by fractional Brownian motion with Hurst index H1/2. Our models include fractional versions of Ornstein-Uhlenbeck, Vasicek, geometric Brownian motion and continuous-time GARCH models. We price variance and volatility...
Persistent link: https://www.econbiz.de/10013134489
The valuation of the variance swaps for local Levy based stochastic volatility with delay (LLBSVD) is discussed in this paper. We provide some analytical closed forms for the expectation of the realized variance for the LLBSVD. As applications of our analytical solutions, we fit our model to 10...
Persistent link: https://www.econbiz.de/10013141059
In this paper, we model financial markets with semi-Markov volatilities and price covarinace and correlation swaps for this markets. Numerical evaluations of varinace, volatility, covarinace and correlations swaps with semi-Markov volatility are presented as well. The novelty of the paper lies...
Persistent link: https://www.econbiz.de/10013106136
In this paper, we present variance and volatility swaps valuations for the COGARCH (1,1) model intriduced by Kl\"{u}ppelberg, Lindner and Maller (2005). We consider two numerical examples: compound Poisson COGARCH(1,1) and variance gamma COGARCH(1,1) processes. Also, we demonstrate two different...
Persistent link: https://www.econbiz.de/10013151951
The valuation of the variance swaps for local stochastic volatility with delay and jumps is discussed in this paper. We provide some analytical closed forms for the expectation of the realized variance for the stochastic volatility with delay and jumps. Besides, we also present a lower bound for...
Persistent link: https://www.econbiz.de/10013157319
The jumps in stock market volatility are found to be so active that this discredits many recently proposed stochastic volatility models without jumps (Bollerslev et al (2008)). The most convincing evidence comes from recent nonparametric work using high-frequency data as in Barndorff-Nielsen and...
Persistent link: https://www.econbiz.de/10013159638
In this chapter, we consider volatility swap, variance swap and VIX future pricing under different stochastic volatility models and jump diffusion models which are commonly used in financial market. We use convexity correction approximation technique and Laplace transform method to evaluate...
Persistent link: https://www.econbiz.de/10012941738
In this paper, we price covariance and correlation swaps for financial markets with Markov-modulated volatilities. As an example, we consider stochastic volatility driven by two-state continuous Markov chain. In this case, numerical example is presented for VIX and VXN volatility indeces (S&P...
Persistent link: https://www.econbiz.de/10012975140
In this paper, we show numerically how to calculate the price of bond options, swaps, caps and floors for Levy one-factor stochastic interest rate models via partial integro-differential equations (PIDE). These models include, in particular, Ornshtein-Uhlenbeck (1930), Vasicek (1977),...
Persistent link: https://www.econbiz.de/10013144189
Using change of time method, we derive a closed-form formula for the volatility swap in an adjusted version of the Heston model with stochastic volatility with delay. The numerical result is presented for underlying EURUSD on September 30th 2011. The novelty of the paper is two-fold: application...
Persistent link: https://www.econbiz.de/10014171890