Stochastic Optimal Control and the U.S. Financial Debt Crisis - nuovo libro

Libro nella banca dati dal 2012-10-26T08:43:35+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-10-06T18:30:43+02:00 (Zurich)
ISBN/EAN: 1461430798

ISBN - Stili di scrittura alternativi:
1-4614-3079-8, 978-1-4614-3079-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : jerome, stein, agnes heller
Titolo del libro: debt, financial crisis, optimal control

Dati dell'editore

Autore: Jerome L. Stein
Titolo: Stochastic Optimal Control and the U.S. Financial Debt Crisis
Editore: Springer; Springer US
160 Pagine
Anno di pubblicazione: 2012-03-30
New York; NY; US
Stampato / Fatto in
Lingua: Inglese
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.

From 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.

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