2008, ISBN: 9781461430797
Stochastic Optimal Control (SOC)-a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty-has proven in… Plus…
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2008, ISBN: 9781461430797
This book analyzes Stochastic Optimal Control in relation to the 2008 U.S. financial crisis, showing why such a methodology is best suited for reducing financial risk and addressing key r… Plus…
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ISBN: 9781461430797
*Stochastic Optimal Control and the U.S. Financial Debt Crisis* / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf… Plus…
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2012, ISBN: 9781461430797
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2008, ISBN: 9781461430797
Stochastic Optimal Control (SOC)-a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic process under uncertainty-has proven in… Plus…
2012, ISBN: 9781461430797
eBooks, eBook Download (PDF), 2012, Stochastic Optimal Control (SOC)-a mathematical theory concerned with minimizing a cost (or maximizing a payout) pertaining to a controlled dynamic pro… Plus…
2008
ISBN: 9781461430797
This book analyzes Stochastic Optimal Control in relation to the 2008 U.S. financial crisis, showing why such a methodology is best suited for reducing financial risk and addressing key r… Plus…
ISBN: 9781461430797
*Stochastic Optimal Control and the U.S. Financial Debt Crisis* / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als pdf… Plus…
2012, ISBN: 9781461430797
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2012
Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - Stochastic Optimal Control and the U.S. Financial Debt Crisis
EAN (ISBN-13): 9781461430797
ISBN (ISBN-10): 1461430798
Date de parution: 2012
Editeur: Springer New York
157 Pages
Langue: eng/Englisch
Livre dans la base de données depuis 2012-10-26T08:43:35+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-10-06T18:30:43+02:00 (Zurich)
ISBN/EAN: 9781461430797
ISBN - Autres types d'écriture:
1-4614-3079-8, 978-1-4614-3079-7
Autres types d'écriture et termes associés:
Auteur du livre: jerome, stein, agnes heller
Titre du livre: debt, financial crisis, optimal control
Données de l'éditeur
Auteur: Jerome L. Stein
Titre: Stochastic Optimal Control and the U.S. Financial Debt Crisis
Editeur: Springer; Springer US
160 Pages
Date de parution: 2012-03-30
New York; NY; US
Imprimé / Fabriqué en
Langue: Anglais
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XVI, 160 p.
EA; E107; eBook; Nonbooks, PBS / Wirtschaft/Betriebswirtschaft; Finanzenwesen und Finanzindustrie; Verstehen; Financial Crisis; Optimal Control Theory; Quantitative Risk Management; Statistical Theory and Methods; Stochastic Processes; B; Finance, general; Probability Theory and Stochastic Processes; Statistics for Business, Management, Economics, Finance, Insurance; Financial Economics; Probability Theory; Statistics in Business, Management, Economics, Finance, Insurance; Economics and Finance; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; BB
analyzes SOC in relation to the 2008 U.S. financial crisis, and offers a detailed framework depicting why such a methodology is best suited for reducing financial risk and addressing key regulatory issues. Topics discussed include the inadequacies of the current approaches underlying financial regulations, the use of SOC to explain debt crises and superiority over existing approaches to regulation, and the domestic and international applications of SOC to financial crises. Principles in this book will appeal to economists, mathematicians, and researchers interested in the U.S. financial debt crisis and optimal risk management.
Stochastic Optimal Control and the U.S. Financial Debt CrisisFrom the reviews:
“This book is another piece in recent literature that proposes an early warning system (EWS). … this book serves well as a ‘handbook of selected financial crises’ for those who want to understand better the two recent big crises, the 2008 U.S. crisis and the ongoing Eurozone one. This book is an easy read with minimal mathematics … and ample figures, tables, quotes, and references. Each chapter has its own abstract and references. This makes each chapter individually readable … .” (Youngna Choi, Mathematical Reviews, March, 2013)
“Stein has written a timely book on the financial crisis emanating from the collapse of the U.S. mortgage market, as well as on the European financial crisis. … It should appeal both to economists and mathematicians interested in how SOC techniques could have been used to provide early warning signals of the recent crises, as well as to those interested in risk management. … the book should also be read by policy makers.” (Peter Clark, Kredit und Kapital, Vol. 45 (2), 2012)
analyzes SOC in relation to the 2008 U.S. financial crisis, and offers a detailed framework depicting why such a methodology is best suited for reducing financial risk and addressing key regulatory issues. Topics discussed include the inadequacies of the current approaches underlying financial regulations, the use of SOC to explain debt crises and superiority over existing approaches to regulation, and the domestic and international applications of SOC to financial crises. Principles in this book will appeal to economists, mathematicians, and researchers interested in the U.S. financial debt crisis and optimal risk management.
Stochastic Optimal Control and the U.S. Financial Debt Crisis Jerome L. Stein American Economic Review Review of Economics and Statistics Journal of Finance American Economic Review Journal of International and Comparative Economics Journal of Banking and Finance. .Cutting-edge interdisciplinary research in the areas of finance, economics, and applied statistics and mathematics
First comprehensive text on using stochastic optimal control to predict financial debt crises
Offers analytical tools to explain and evaluate trends in risk management, and provides theoretically-based warning signals of currency and debt crises
Shows how stochastic optimal control could have been used to mitigate collapses in various U.S. financial sectors, including housing and insurance
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