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induction fails. If, however, the class of priors is time-consistent, we establish a generalization of the classical theory of … optimal stopping. To this end, we develop first steps of a martingale theory for multiple priors. We define minimax (super …
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estimated nonparametrically too. In this framework, we develop the asymptotic distribution theory of the EPK in the L1 sense …, as an alternative to the asymptotic approach, we propose a bootstrap confidence band. The developed theory is helpful for …
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This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches which do not require parametric functional assumptions on the underlying asset price dynamics nor on the distributional form of the risk neutral density. The first estimator is 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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