Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
An Empirical Analysis of Random Intensity Impact on Variance Swaps Under Stochastic Volatility
Author: An Empirical Analysis of Variance Swaps Under Stochastic Volatility and Jumps
Author: A Unified Valuation Framework for Variance Swaps Under Non-Affine Stochastic Volatility Models
Author: Alex BadescuPublisher:
ISBN:
Category :
Languages : en
Pages : 38
Book Description
In this article, we investigate the pricing and convergence of general non-affine non-Gaussian GARCH-based variance swap prices. Explicit solutions for fair strike prices under two different sampling schemes are derived using the extended Girsanov principle as our pricing kernel candidate. Following standard assumptions on the time-varying GARCH parameters, we show that these quantities converge to discretely and continuously sampled variance swaps constructed based on the weak diffusion limit of the underlying GARCH model. An empirical study which relies on a joint estimation using both historical returns and VIX data indicates that an asymmetric heavier-tailed distribution is more appropriate for modelling the GARCH innovations. Finally, we provide several numerical exercises to support our theoretical convergence results in which we investigate the effect of the quadratic variation approximation for the realized variance, as well as the impact of discrete versus continuous-time modelling of asset returns.
Variance Swap Premium Under Stochastic Volatility and Self-exciting Jumps
Author: Ke Chen (Economist)Publisher:
ISBN:
Category : Risk-return relationships
Languages : en
Pages : 0
Book Description
Variance Swap with Mean Reversion, Multifactor Stochastic Volatility and Jumps
Author: Chi Seng PunPublisher:
ISBN:
Category :
Languages : en
Pages : 38
Book Description
This paper examines variance swap pricing using a model that integrates three major features of financial assets, namely the mean reversion in asset price, multi-factor stochastic volatility (SV) and simultaneous jumps in prices and volatility factors. Closed-form solutions are derived for vanilla variance swaps and gamma swaps while the solutions for corridor variance swaps and conditional variance swaps are expressed in a one-dimensional Fourier integral. The numerical tests confirm that the derived solution is accurate and efficient. Furthermore, empirical studies have shown that multi-factor SV models better capture the implied volatility surface from option data. The empirical results of this paper also show that the additional volatility factor contributes significantly to the price of variance swaps. Hence, the results favor multi-factor SV models for pricing variance swaps consistent with the implied volatility surface.
Variance Swap Premium Under Stochastic Volatility and Self-exciting Jumps
Author: Ke Chen (Economist)Publisher:
ISBN:
Category : Risk-return relationships
Languages : en
Pages : 100
Book Description
On the Valuation of Variance Swaps with Stochastic Volatility
Author: Song-Ping ZhuPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
This paper is an extension to a recent paper Zhu and Lian (2009), in which a closed-form exact solution was presented for the price of variance swaps with a particular definition of the realized variance. Here, we further demonstrate that our approach is quite versatile and can be used for other definitions of the realized variance as well. In particular, we present a closed-form formula for the price of a variance swap with the realized variance in the payoff function being defined as a logarithmic return of the underlying asset at some pre-specified discretely sampling points. The simple formula presented here is a result of successfully finding an exact solution of the partial differential equation (PDE) system based on the Heston's (1993) two-factor stochastic volatility model. A distinguishable feature of this new solution is that the computational time involved in pricing variance swaps with discretely sampling time has been substantially improved.
Pricing Exotic Variance Swaps Under 3/2-Stochastic Volatility Models
Author: Chi YuenPublisher:
ISBN:
Category :
Languages : en
Pages : 26
Book Description
We consider pricing of various types of exotic discrete variance swaps, like the gamma swaps and corridor swaps, under the 3/2-stochastic volatility models with jumps. The class of stochastic volatility models (SVM) that use a constant-elasticity-of-variance (CEV) process for the instantaneous variance exhibit nice analytical tractability when the CEV parameter takes just a few special values (namely, 0, 1/2, 1 and 3/2). The popular Heston model corresponds to the choice of the CEV parameter to be 1/2. However, the stochastic volatility dynamics derived from the Heston model fails to agree with empirical findings from actual market data. The choice of 3/2 for the CEV parameter in the SVM shows better agreement with empirical studies while it maintains a good level of analytical tractability. By using the partial integro-differential equation formulation, we manage to derive quasi-closed form pricing formulas for the fair strike values of various types of discrete variance swaps. Pricing properties of these exotic discrete variance swaps under different market conditions are explored.
Variance and Volatility Swaps and Futures Pricing for Stochastic Volatility Models
Author: Anatoliy V. SwishchukPublisher:
ISBN:
Category :
Languages : en
Pages : 26
Book Description
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 volatility strikes and estimate VIX future prices. In empirical study, we use Markov chain Monte Carlo algorithm for model calibration based on S&P 500 historical data, evaluate the effect of adding jumps into asset price processes on volatility derivatives pricing, and compare the performance of different pricing approaches.
A Closed-Form Exact Solution for Pricing Variance Swaps With Stochastic Volatility
Author: Song-Ping ZhuPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
In this paper, we present a highly efficient approach to price variance swaps with discrete sampling times. We have found a closed-form exact solution for the partial differential equation (PDE) system based on the Heston's two-factor stochastic volatility model embedded in the framework proposed by Little and Pant. In comparison with the previous approximation models based on the assumption of continuous sampling time, the current research of working out a closed-form exact solution for variance swaps with discrete sampling times at least serves for two major purposes: (i) to verify the degree of validity of using a continuous-sampling-time approximation for variance swaps of relatively short sampling period; (ii) to demonstrate that significant errors can result from still adopting such an assumption for a variance swap with small sampling frequencies or long tenor. Other key features of our new solution approach include the following: (1) with the newly found analytic solution, all the hedging ratios of a variance swap can also be analytically derived; (2) numerical values can be very efficiently computed from the newly found analytic formula.