Results 31 to 40 of about 8,689 (223)
A backward particle interpretation of Feynman-Kac formulae [PDF]
We design a particle interpretation of Feynman-Kac measures on path spaces based on a backward Markovian representation combined with a traditional mean field particle interpretation of the flow of their final time marginals. In contrast to traditional genealogical tree based models, these new particle algorithms can be used to compute normalized ...
del Moral, Pierre +2 more
openaire +4 more sources
A Feynman-Kac formula for anticommuting Brownian motion [PDF]
Motivated by application to quantum physics, anticommuting analogues of Wiener measure and Brownian motion are constructed. The corresponding Ito integrals are defined and the existence and uniqueness of solutions to a class of stochastic differential equations is established.
Leppard, S, Rogers, F A
openaire +4 more sources
This paper introduces an asymptotic expansion for the smooth solution of a semi-linear partial differential equation. Our scheme is based on Itô’s formula, Taylor’s expansion, nonlinear Feynman–Kac formula and some algebras.
Kaori Okuma
doaj +1 more source
An exact representation of the fermion dynamics in terms of Poisson processes and its connection with Monte Carlo algorithms [PDF]
We present a simple derivation of a Feynman-Kac type formula to study fermionic systems. In this approach the real time or the imaginary time dynamics is expressed in terms of the evolution of a collection of Poisson processes.
+7 more
core +1 more source
Weak approximation rates for integral functionals of Markov processes
We obtain weak rates for approximation of an integral functional of a Markov process by integral sums. An assumption on the process is formulated only in terms of its transition probability density, and, therefore, our approach is not strongly dependent ...
Iurii Ganychenko, Alexei Kulik
doaj +1 more source
Continuity of the Feynman-Kac formula for a generalized parabolic equation
It is well-known since the work of Pardoux and Peng [12] that Backward Stochastic Differential Equations provide probabilistic formulae for the solution of (systems of) second order elliptic and parabolic equations, thus providing an extension of the ...
Pardoux, Etienne, Rascanu, Aurel
core +3 more sources
PRICING POWERED \(\alpha\)-POWER QUANTO OPTIONS WITH AND WITHOUT POISSON JUMPS
This paper deals with the problem of Black-Scholes pricing for the Quanto option pricing with power type powered and powered payoff underlying foreign currency is driven by Brownian motion and Poisson jumps, via risk-neutral probability measure.
Javed Hussain, Nisar Ali
doaj +1 more source
Firstly, we present a more general and realistic double-exponential jump model with stochastic volatility, interest rate, and jump intensity. Using Feynman-Kac formula, we obtain a partial integrodifferential equation (PIDE), with respect to the moment ...
Jiexiang Huang, Wenli Zhu, Xinfeng Ruan
doaj +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Unified Asymptotics for Investment Under Illiquidity: Transaction Costs and Search Frictions
ABSTRACT This paper investigates the optimal investment problem in a market with two types of illiquidity: transaction costs and search frictions. We analyze a power‐utility maximization problem where an investor encounters proportional transaction costs and trades only when a Poisson process triggers trading opportunities.
Tae Ung Gang, Jin Hyuk Choi
wiley +1 more source

