Applications of Stochastic Optimal Control to Economics and Finance

Luca Regis, Salvatore Federico, Giorgio Ferrari

ISBN 10: 3039360582 / ISBN 13: 9783039360581

Published by Mdpi AG, 2020

About this Item

Seller Inventory # LU-9783039360581

Bibliographic Details

• Title: Applications of Stochastic Optimal Control to Economics and Finance
• Publisher: Mdpi AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039360582
• ISBN 13: 9783039360581
• Binding: Hardback
• Condition: New
• Dimensions: 16.99W x 1.75H x 24.41D centimeters 16.99 centimeters width by 1.75 centimeters height by 24.41 centimeters depth
• Weight: 644 grams

About this title

Synopsis

In a world dominated by uncertainty, modeling and understanding the optimal behavior of agents is of the utmost importance. Many problems in economics, finance, and actuarial science naturally require decision makers to undertake choices in stochastic environments. Examples include optimal individual consumption and retirement choices, optimal management of portfolios and risk, hedging, optimal timing issues in pricing American options, and investment decisions. Stochastic control theory provides the methods and results to tackle all such problems.

This book is a collection of the papers published in the Special Issue "Applications of Stochastic Optimal Control to Economics and Finance", which appeared in the open access journal Risks in 2019. It contains seven peer-reviewed papers dealing with stochastic control models motivated by important questions in economics and finance. Each model is rigorously mathematically funded and treated, and the numerical methods are employed to derive the optimal solution. The topics of the book's chapters range from optimal public debt management to optimal reinsurance, real options in energy markets, and optimal portfolio choice in partial and complete information settings. From a mathematical point of view, techniques and arguments of dynamic programming theory, filtering theory, optimal stopping, one-dimensional diffusions and multi-dimensional jump processes are used.