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Siham Bouhadou

Publications and source records attributed to Siham Bouhadou.

5 recordsLinked to original sources

Minimal Reflected BSDEs and Superhedging of Irregular American Claims

We study the superhedging of American claims with an irregular optional payoff process $ξ$ over the full set $\mathcal{M}(X)$ of equivalent local martingale measures of a locally bounded market. We show that a process which is a strong optional supermartingale of class (D) under every $Q\in\mathcal{M}(X)$, with no bound from either side, decomposes as $S=S_0+\int H\,dX-A-C_-$, with a common integrand $H$, a right-continuous increasing process $A$ and a purely discontinuous increasing process $C$ given explicitly by the right jumps of $S$. For the robust Snell envelope this yields the superhedging duality $p_0(ξ)=\sup_{Q}\sup_τE^Q[ξ_τ]$ with an explicit optimal strategy and no regularity of $ξ$ in time. Unbounded payoffs are covered when $\{ξ_τ\}$ is uniformly integrable jointly over measures and stopping times, or when $|ξ|$ is dominated by a traded uniformly integrable martingale. For payoffs bounded below, the price is attained by wealth bounded below by a constant. For payoffs unbounded below this can fail, already in a complete market, and the price is attained once the constant bound is replaced by $-M$, with $M$ a traded martingale dominating $|ξ|$. In an incomplete Brownian market we study the associated reflected BSDE with an optional obstacle and a Lipschitz driver depending on the value. We prove existence and uniqueness of the minimal supersolution, a representation at stopping times, comparison and an equivalent dynamic minimality condition, for bounded data and for data dominated by a traded martingale. For a European-type obstacle, the Skorokhod conditions on the total regulator hold for some supersolution if and only if the terminal claim is attainable by a bounded wealth process; so in an incomplete market some data admit no supersolution satisfying them, while the right-jump regulator always satisfies its contact condition.

math.PR↗

Optimal Stopping Under Model Uncertainty in a General Setting

We consider the optimal stopping time problem under model uncertainty $R(v)= {\text{ess}\sup\limits}_{ \mathbb{P} \in \mathcal{P}} {\text{ess}\sup\limits}_{τ\in \mathcal{S}_v} E^\mathbb{P}[Y(τ) \vert \mathcal{F}_v]$, for every stopping time $v$, set in the framework of families of random variables indexed by stopping times. This setting is more general than the classical setup of stochastic processes, and particularly allows for general payoff processes that are not necessarily right-continuous. Under weaker integrability, and regularity assumptions on the reward family $Y=(Y(v), v\in \mathcal{S})$, we show the existence of an optimal stopping time. We then proceed to find sufficient conditions for the existence of an optimal model. For this purpose, we present a universal Doob-Meyer-Mertens's decomposition for the Snell envelope family associated with $Y$ in the sense that it holds simultaneously for all $\mathbb{P} \in \mathcal{P}$. This decomposition is then employed to prove the existence of an optimal probability model and study its properties.

math.PR↗

Doubly Reflected BSDEs in the predictable setting

In this paper, we introduce a specific kind of doubly reflected Backward Stochastic Differential Equations (in short DRBSDEs), defined on probability spaces equipped with general filtration that is essentially non quasi-left continuous, where the barriers are assumed to be predictable processes. We call these equations predictable DRBSDEs. Under a general type of Mokobodzki's condition, we show the existence of the solution (in consideration of the driver's nature) through a Picard iteration method and a Banach fixed point theorem. By using an appropriate generalization of Itô's formula due to Gal'chouk and Lenglart, we provide a suitable a priori estimates which immediately implies the uniqueness of the solution.

math.PR↗

Reflected backward stochastic differential equations with optional barriers: monotone approximation

In this short note we consider RBSDE with Lipschitz drivers and barrier processes that are optional and right upper semicontinuous. We treat the case when the barrier can be represented as a decreasing limit of cadlag barriers. We combine well known existence results for cadlag barriers with comparison arguments for the control process to construct solutions. Finally, we highlight the connection of such RBSDEs with usual cadlag BSDEs.

math.PR↗

Optimal Stopping in General Predictable Framework

In this paper, we study the optimal stopping problem in the case where the reward is given by a family $(ϕ(τ),\;\;τ\in \stopo)$ of non negative random variables indexed by predictable stopping times. We treat the problem by means of Snell's envelope techniques. We prove some properties of the value function family associated to this setting.

math.PR↗