Optimal search with learning

Article Abstract:

A sequential search problem that does not assume that the searcher has complete knowledge of the underlying distribution is analyzed. Search with recall and without recall are both considered. For the two cases, ample conditions are identified for the presence of optimal stopping rules with the reservation property. Results regarding stochastic dominance are discussed.

Information theory, Online searching, Search theory, Searching behavior

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Error learning behavior and stability revisited

Article Abstract:

The implications of error learning behavior on the dynamic properties of stationary equilibria in an overlapping generations under bounded rationality is investigated. A class of learning rules is defined in which the error learning behavior of agentsE ability to learn from the past performance enhances the stability properties of the economy.

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Hedging using simulation: a least squares approach

Article Abstract:

Based on the use of least squares regression to compute hedging portfolio, a new and flexible computational approach is derived. These computed, simulated and semi analyzed techniques are described on a plain vanilla and exotic options.

Usage, Hedging (Finance), Regression analysis

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