This paper addresses the problem of option bounds computation under the assumption that the price of the underlying asset follows a jump-diffusion Merton process as formulated in Perrakis (1993) extending the number of the jumps from one jump up and one jump down with fixed sizes to a finite number of jumps with sizes drawn from the lognormal distribution. The objective of this paper is to create a Monte Carlo simulation for the estimation of the bounds with various numbers of jumps and periods to maturity.Monte Carlo simulation, Jump-Diffusion processes, multi-jump process
This thesis treats a range of stochastic methods with various applications, most notably in finance....
This dissertation contains four autonomous academic papers on asset pricing models with jump process...
© 2012 Dr. Robert TangThis thesis presents new Monte Carlo methods for pricing financial derivative ...
This thesis consists of two parts. The first part (Chapters 2-4) considers multilevel Monte Carlo fo...
AbstractIn this paper we find numerical solutions for the pricing problem in jump diffusion markets....
The author develops a simple, discrete time model to value options when the underlying process follo...
This thesis deals with three problems in financial engineering and Monte Carlo simulation.We first p...
In this paper, an exposition is made on the use of Monto Carlo method in simulation of financial pro...
In general, the daily logarithmic returns of individual stocks are not normally distributed. This po...
An option is a contract which gives the owner (buyer) of the option the right, but not obligation, t...
The Black-Scholes model has been widely used in option pricing for roughly four decades. However, th...
Monte Carlo simulation is a valuable tool in computational finance. It is widely used to evaluate po...
We extend the stochastic volatility model in Moretto et al. [MPT05] to a stochastic volatility jump-...
Fast pricing of American-style options has been a difficult problem since it was first introduced to...
As increasingly large volumes of sophisticated options (called derivative securities) are traded in ...
This thesis treats a range of stochastic methods with various applications, most notably in finance....
This dissertation contains four autonomous academic papers on asset pricing models with jump process...
© 2012 Dr. Robert TangThis thesis presents new Monte Carlo methods for pricing financial derivative ...
This thesis consists of two parts. The first part (Chapters 2-4) considers multilevel Monte Carlo fo...
AbstractIn this paper we find numerical solutions for the pricing problem in jump diffusion markets....
The author develops a simple, discrete time model to value options when the underlying process follo...
This thesis deals with three problems in financial engineering and Monte Carlo simulation.We first p...
In this paper, an exposition is made on the use of Monto Carlo method in simulation of financial pro...
In general, the daily logarithmic returns of individual stocks are not normally distributed. This po...
An option is a contract which gives the owner (buyer) of the option the right, but not obligation, t...
The Black-Scholes model has been widely used in option pricing for roughly four decades. However, th...
Monte Carlo simulation is a valuable tool in computational finance. It is widely used to evaluate po...
We extend the stochastic volatility model in Moretto et al. [MPT05] to a stochastic volatility jump-...
Fast pricing of American-style options has been a difficult problem since it was first introduced to...
As increasingly large volumes of sophisticated options (called derivative securities) are traded in ...
This thesis treats a range of stochastic methods with various applications, most notably in finance....
This dissertation contains four autonomous academic papers on asset pricing models with jump process...
© 2012 Dr. Robert TangThis thesis presents new Monte Carlo methods for pricing financial derivative ...