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In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic approximation algorithms whose gain sequence is...
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Managing unemployment is one of the key issues in social policies. Unemployment insurance schemes are designed to cushion the financial and morale blow of loss of job but also to encourage the unemployed to seek new jobs more proactively due to the continuous reduction of benefit payments. In...
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In this article, we derive a solution for a linear stochastic model on a complex time domain. In this type of models, the time domain can be any collection of points along the real number line, so these models are suitable for problems where events do not occur at evenly-spaced time intervals....
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.2.6 Optimal martingale measures -- 1.3 Notes and further reading -- 2. Stochastic Calculus -- 2.1 Filtrations and martingales -- 2 …Key Features:Unique focus on hedging and optimal martingale measuresIncludes new developments about static and dynamic ….2 Semi-martingales and stochastic integrals -- 2.3 Kunita-Watanabe decomposition -- 2.4 Change of measure -- 2.5 Stochastic …
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