Applications of Stochastic Optimal Control to Economics and Finance

• Autore: Federico Salvatore
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (210 p.)
• Soggetto topico: Economics, Finance, Business and Management
• Soggetto non controllato: American call option; American options; asymptotic arbitrage; Bayesian learning; binomial tree; complete market; debt crisis; decision analysis; derivatives pricing; energy imbalance market; excess-of-loss reinsurance; free boundary problem; general diffusion; geometric Brownian motion; government debt management; government debt ratio; Hamilton-Jacobi-Bellman equation; insurance; least square method; Markov additive processes; Markov regime switching market; Markovian jump securities; Markowitz problem; martingale; multiple optimal stopping; optimal government debt ceiling; optimal portfolio; optimal reinsurance; optimal stopping; portfolio selection; quadrinomial tree; real option analysis; risk management; stochastic control; stochastic factor model; stochastic interest rates; unemployment; utility
• Persona (resp. second.): FerrariGiorgio; RegisLuca; FedericoSalvatore
• Sommario/riassunto: 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.
• Titolo autorizzato: Applications of Stochastic Optimal Control to Economics and Finance
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557761803321
• Lo trovi qui: Univ. Federico II