Optimal Stopping under Ambiguity in Continuous Time
Frank Riedel
No 429, Center for Mathematical Economics Working Papers from Center for Mathematical Economics, Bielefeld University
Abstract:
We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward) stochastic calculus, we characterize the value function as the smallest (nonlinear) supermartingale dominating the payoff process. For Markovian models, we derive an adjusted Hamilton-Jacobi-Bellman equation involving a nonlinear drift term that stems from the agent's ambiguity aversion. We show how to use these general results for search problems and American Options.
Keywords: Optimal stopping; Uncertainty aversion; Robustness; Optimal control; Continuous time; Ambiguity (search for similar items in EconPapers)
Date: 2010-12-14
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Citations: View citations in EconPapers (4)
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https://pub.uni-bielefeld.de/download/1943934/2319758 First Version, 2010 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:bie:wpaper:429
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