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state variables. We evaluate the numerical accuracy and computational efficiency of the algorithm by solving a standard … estimated by Guvenen et al (2015) to demonstrate the usefulness of the algorithm. We demonstrate that the consumption dynamics …
Persistent link: https://www.econbiz.de/10012961777
In this contribution we propose a dynamic tracking error problem and we consider the problem of monitoring at discrete point the shortfall of the portfolio below a set of given reference levels of wealth. We formulate and solve the resulting dynamic optimization problem using stochastic...
Persistent link: https://www.econbiz.de/10014040374
We introduce a novel simulated certainty equivalent approximation (SCEQ) method for solving dynamic stochastic problems. Our examples show that SCEQ can quickly solve high-dimensional finite- or infinite-horizon, stationary or non- stationary dynamic stochastic problems with hundreds of state...
Persistent link: https://www.econbiz.de/10014308586
Focuses on a study which developed a framework for forecast and decision horizons. Definition of finite and infinite horizon stochastic optimization problems for a given forecast; Description of the general framework; Conditions for the existence of a solution horizon; Development of sufficient...
Persistent link: https://www.econbiz.de/10012750265
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
This paper explores sufficient conditions for a continuous stationary Markov optimal policy and a concave value function in stochastic dynamic programming problems. Also, the paper addresses conditions needed for the differentiability of the value function. The paper uses conditions such as...
Persistent link: https://www.econbiz.de/10014055370
The world meat market demands competitiveness and optimal livestock replacement decisions can help to achieve this goal. We introduce a novel discrete stochastic dynamic programming framework to support a manager's decision-making process of whether to sell or keep fattening animals in the beef...
Persistent link: https://www.econbiz.de/10013015656
formulation of the problem with the point of view of the optimal control theory naturally gives as a first result the time …
Persistent link: https://www.econbiz.de/10014041969
- lation algorithm (GSSA) in three applications: the standard representative - agent neoclassical growth model, a model with …
Persistent link: https://www.econbiz.de/10011756280
Generalising the idea of the classical EM algorithm that is widely used for computing maximum likelihood estimates, we … propose an EM-Control (EM-C) algorithm for solving multi-period finite time horizon stochastic control problems. The new … algorithm sequentially updates the control policies in each time period using Monte Carlo simulation in a forward …
Persistent link: https://www.econbiz.de/10012979815