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Michael R. Caputo

Researcher at University of Central Florida

Publications -  100
Citations -  1075

Michael R. Caputo is an academic researcher from University of Central Florida. The author has contributed to research in topics: Comparative statics & Matrix (mathematics). The author has an hindex of 16, co-authored 99 publications receiving 1009 citations. Previous affiliations of Michael R. Caputo include National Center for State Courts & College of Business Administration.

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Foundations of Dynamic Economic Analysis: Optimal Control Theory and Applications

TL;DR: In this paper, the authors define necessary and sufficient conditions for a general class of control problems, including linear optimal control problems and isoperimetric control problems with one state variable and one control variable.
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How to do comparative dynamics on the back of an envelope in optimal control theory

TL;DR: In this paper, the dynamic primal-dual methodology of Caputo (1988) is extended and applied to a general non-autonomous optimal control problem with a fixed and finite time horizon, a fixed vector of initial states, a free vector of terminal states, and a time-independent vector of parameters.
Posted Content

Foundations of Dynamic Economic Analysis

TL;DR: Foundations of Dynamic Economic Analysis as discussed by the authors presents a modern and thorough exposition of the fundamental mathematical formalism used to study optimal control theory, i.e., continuous time dynamic economic processes, and to interpret dynamic economic behavior.
Posted Content

Principal Portfolios: Recasting the Efficient Frontier

TL;DR: In this article, a new method of analyzing the efficient portfolio problem under the assumption that short sales are allowed is presented, based on the remarkable finding that the original asset set can be reorganized as a set of uncorrelated portfolios, here named principal portfolios.
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Comparative Dynamics via Envelope Methods in Variational Calculus

TL;DR: In this article, it is shown that if the solution of the variational problem is smooth enough, the qualitative effects of parameter perturbations on the entire optimal arcs can be represented by a generalized Slutsky-type matrix, which holds in integral form and is symmetric negative semidefinite.