Diffusion processes play a major role in continuous-time modeling in economics, particularly in continuous-time finance. In most cases, however, the transition density function of a diffusion process is not available in closed form. Using Feynman-Kac integration, we construct a recursive scheme for the Laplace transform (in time) of the transition density function. This provides a semianalytic and highly accurate solution to a wide range of asset pricing problems. Generalizations of our technique to functionals of non-Gaussian processes are also briefly discussed
During the last thirty years, the method of the Laplace transform has found an increasing number of ...
In this work we study drawdowns and drawups of general diffusion processes. The drawdown process is ...
In recent years, Fourier transform methods have emerged as one of the major methodologies for the ev...
In this paper, we develop a recursive method to derive an exact numerical and nearly analytical repr...
A computational technique borrowed from the physical sciences is introduced to obtain accurate close...
In the setting of \aÆne " jump-diusion state processes, this paper pro-vides an analytical trea...
We investigate the exit times from an interval for a general one-dimensional time-homogeneous diffus...
General diffusion processes (GDP), or Ito's processes, are potential candidates for the modeling of ...
International audienceWe establish an explicit expression for the conditional Laplace transform of t...
A numerical method for pricing financial derivatives based on continuous-time Markov chains is propo...
We obtain closed-form expressions for the value of the joint Laplace transform of the running maximu...
For insurance risks, jump processes such as homogeneous/non-homogeneous compound Poisson processes a...
For over a hundred years, diffusion differential equations have been used to model the changes in as...
We obtain closed-form expressions for the value of the joint Laplace transform of therunning maximum...
This paper proposes two jump diffusion models with and without mean reversion,for stocks or commodit...
During the last thirty years, the method of the Laplace transform has found an increasing number of ...
In this work we study drawdowns and drawups of general diffusion processes. The drawdown process is ...
In recent years, Fourier transform methods have emerged as one of the major methodologies for the ev...
In this paper, we develop a recursive method to derive an exact numerical and nearly analytical repr...
A computational technique borrowed from the physical sciences is introduced to obtain accurate close...
In the setting of \aÆne " jump-diusion state processes, this paper pro-vides an analytical trea...
We investigate the exit times from an interval for a general one-dimensional time-homogeneous diffus...
General diffusion processes (GDP), or Ito's processes, are potential candidates for the modeling of ...
International audienceWe establish an explicit expression for the conditional Laplace transform of t...
A numerical method for pricing financial derivatives based on continuous-time Markov chains is propo...
We obtain closed-form expressions for the value of the joint Laplace transform of the running maximu...
For insurance risks, jump processes such as homogeneous/non-homogeneous compound Poisson processes a...
For over a hundred years, diffusion differential equations have been used to model the changes in as...
We obtain closed-form expressions for the value of the joint Laplace transform of therunning maximum...
This paper proposes two jump diffusion models with and without mean reversion,for stocks or commodit...
During the last thirty years, the method of the Laplace transform has found an increasing number of ...
In this work we study drawdowns and drawups of general diffusion processes. The drawdown process is ...
In recent years, Fourier transform methods have emerged as one of the major methodologies for the ev...