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robustness under risk aversion and ambiguity aversion. We aim to understand the potential consequences of deeply uncertain … chain-level preparedness to aggregate shocks. Augmenting a parsimonious supply chain model with uncertainty, we analyse the … chain-level coordination of downstream firm sourcing decisions can qualitatively improve the robustness of the entire supply …
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model of uncertainty. I illustrate the methodology in two environments: a) an industry populated with a large firm and many …
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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...
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Sargent (1995) in their robustness analysis is the only one that fulfills these properties. The paper therefore suggests a …
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uncertainty. Using the theory of (reflected) backward stochastic differential equations we are able to solve the optimal stopping …
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