Applications of Doubly Reflected BSDEs Driven by RCLL Martingales to Dynkin Games and American Game Options
摘要
In this paper, we present two applications of a class of doubly reflected backward stochastic differential equations driven by a right-continuous with left limits (RCLL) martingale, with two completely separated RCLL barriers and a stochastic Lipschitz driver in a general filtration. The first application relates to game theory, specifically the valuation problem of a Dynkin game. The second concerns the pricing problem of a game-contingent claim (or American game option) in a public financial market, driven by a normal martingale and traded between two investors with additional information about the stock price of a company.