Cohen and Elliott (2010) introduced the backward stochastic difference equations (BSDEs) on spaces related to discrete time, finite state processes. Motivated by obtaining the explicit solution of a linear BSDE under their framework, we develop a new type of Girsanov transformation in this paper.

In this paper, we study a functional fully coupled forward–backward stochastic differential equation (FBSDE). For this functional FBSDE, the classical Lipschitz and monotonicity conditions which guarantee the existence and uniqueness of the solution to FBSDE are no longer applicable. To...

In this paper we propose a continuous time stochastic inventory model for a traded commodity whose supply purchase in the spot market is affected by price and demand uncertainty. A firm aims at meeting a random demand of the commodity at a random time by maximizing total expected profits. We...

We study a continuous-time, finite horizon, stochastic partially reversible investment problem for a firm producing a single good in a market with frictions. The production capacity is modeled as a one-dimensional, time-homogeneous, linear diffusion controlled by a bounded variation process...

In this paper we study a continuous time, optimal stochastic investment problem under limited resources in a market with N firms. The investment processes are subject to a time-dependent stochastic constraint. Rather than using a dynamic programming approach, we exploit the concavity of the...

In this paper we study a continuous time, optimal stochastic investment problem under limited resources in a market with N firms. The investment processes are subject to a time-dependent stochastic constraint. Rather than using a dynamic programming approach, we exploit the concavity of the...

We show that the equivalence between certain problems of singular stochastic control (SSC) and related questions of optimal stopping known for convex performance criteria (see, for example, Karatzas and Shreve (1984)) continues to hold in a non convex problem provided a related discretionary...

In this paper we derive a new handy integral equation for the free boundary of innite time horizon, continuous time, stochastic, irreversible investment problems with un- certainty modeled as a one-dimensional, regular difusion X0;x. The new integral equation allows to explicitly find the free...

In the context of stochastic volatility models, we study representation formulas in terms of expectations for the power series' coefficients associated to the call price-function. As in a recent paper by Antonelli and Scarlatti the expansion is done w.r.t. the correlation between the noises...

This paper examines a Markovian model for the optimal irreversible investment problem of a firm aiming at minimizing total expected costs of production. We model market uncertainty and the cost of investment per unit of production capacity as two independent one-dimensional regular diffusions,...