Applications of Stochastic Optimal Control to Economics and Finance

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 individua...

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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (210 p.)
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spelling Federico, Salvatore edt
Applications of Stochastic Optimal Control to Economics and Finance
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (210 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Economics, finance, business & management bicssc
debt crisis
government debt management
optimal government debt ceiling
government debt ratio
stochastic control
decision analysis
risk management
Bayesian learning
Markowitz problem
optimal portfolio
portfolio selection
Markov additive processes
Markov regime switching market
Markovian jump securities
asymptotic arbitrage
complete market
multiple optimal stopping
general diffusion
real option analysis
energy imbalance market
optimal reinsurance
excess-of-loss reinsurance
Hamilton-Jacobi-Bellman equation
stochastic factor model
American options
least square method
derivatives pricing
binomial tree
stochastic interest rates
quadrinomial tree
insurance
unemployment
optimal stopping
geometric Brownian motion
martingale
free boundary problem
American call option
utility
3-03936-058-2
3-03936-059-0
Ferrari, Giorgio edt
Regis, Luca edt
Federico, Salvatore oth
Ferrari, Giorgio oth
Regis, Luca oth
language English
format eBook
author2 Ferrari, Giorgio
Regis, Luca
Federico, Salvatore
Ferrari, Giorgio
Regis, Luca
author_facet Ferrari, Giorgio
Regis, Luca
Federico, Salvatore
Ferrari, Giorgio
Regis, Luca
author2_variant s f sf
g f gf
l r lr
author2_role HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
title Applications of Stochastic Optimal Control to Economics and Finance
spellingShingle Applications of Stochastic Optimal Control to Economics and Finance
title_full Applications of Stochastic Optimal Control to Economics and Finance
title_fullStr Applications of Stochastic Optimal Control to Economics and Finance
title_full_unstemmed Applications of Stochastic Optimal Control to Economics and Finance
title_auth Applications of Stochastic Optimal Control to Economics and Finance
title_new Applications of Stochastic Optimal Control to Economics and Finance
title_sort applications of stochastic optimal control to economics and finance
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (210 p.)
isbn 3-03936-058-2
3-03936-059-0
illustrated Not Illustrated
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