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In this paper we argue that a large class of recursive contracts can be studied by means of the conventional Negishi method. A planner is responsible for prescribing current actions along with a distribution of future utility values to all agents, so as to maximize their weighted sum of...
Persistent link: https://www.econbiz.de/10013226843
Many stochastic dynamic programs (DPs) have a weakly coupled structure in that a set of linking constraints in each period couple an otherwise independent collection of subproblems. Two widely studied approximations of such problems are approximate linear programs (ALP), which involve optimizing...
Persistent link: https://www.econbiz.de/10013226872
Portfolio managers regularly have views on capital markets that span multiple periods. A portfolio manager, for example, may expect a recession with high probability over the coming period, followed by a recovery in the subsequent period. Currently, there are few methods for optimal portfolio...
Persistent link: https://www.econbiz.de/10013227967
In this paper, we established and carried-out the computational solution of some first order delay differential equations (DDEs) using hybrid extended backward differentiation formulae method in block forms without the application of interpolation techniques in determining the delay term. The...
Persistent link: https://www.econbiz.de/10013228285
This paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic growth problems. Software is provided
Persistent link: https://www.econbiz.de/10013229143
This paper is concerned with an investor trading in multiple securities over many time periods in order to meet an outstanding liability at some future date. The investor is concerned with maximizing the expected profits from portfolio rebalancing under an initial wealth restriction to meet the...
Persistent link: https://www.econbiz.de/10013230031
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