Proving regularity of the minimal probability of ruin via a game of stopping and control
We reveal an interesting convex duality relationship between two problems: (a) minimizing the probability of lifetime ruin when the rate of consumption is stochastic and when the individual can invest in a Black-Scholes financial market; (b) a controller-and-stopper problem, in which the controller controls the drift and volatility of a process in order to maximize a running reward based on that process, and the stopper chooses the time to stop the running reward and rewards the controller a final amount at that time. Our primary goal is to show that the minimal probability of ruin, whose stochastic representation does not have a classical form as does the utility maximization problem (i.e., the objective's dependence on the initial values of the state variables is implicit), is the unique classical solution of its Hamilton-Jacobi-Bellman (HJB) equation, which is a non-linear boundary-value problem. We establish our goal by exploiting the convex duality relationship between (a) and (b).
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Volume (Year): 15 (2011)
Issue (Month): 4 (December)
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- Erhan Bayraktar & Virginia R. Young, 2007. "Mutual Fund Theorems when Minimizing the Probability of Lifetime Ruin," Papers 0705.0053, arXiv.org, revised Mar 2008.
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