Logo

US Financial Debt Crisis: A Stochastic Optimal Control Approach

Small book cover: US Financial Debt Crisis: A Stochastic Optimal Control Approach

US Financial Debt Crisis: A Stochastic Optimal Control Approach
by

Publisher: Springer
ISBN/ASIN: 146143078X
ISBN-13: 9781461430780
Number of pages: 34

Description:
Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises. The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and concludes with an analysis of the European debt crisis. I use SOC to derive a theoretically founded quantitative measure of an optimal, and an excessive leverage/ debt/ risk that increases the probability of a crisis. The optimal leverage balances risk against expected growth. The environment is stochastic: the capital gain, productivity of capital and interest rate are stochastic variables, and for an insurance company, such as AIG, the claims are also stochastic. I associate the housing price bubble with the growth of household debt. A bubble is dangerous insofar as it induces a non-sustainable debt. This danger is exacerbated insofar as a complex financial system is based upon it.

Download or read it online for free here:
Download link
(430KB, PDF)

Similar books

Book cover: EconometricsEconometrics
by - Universitat Autonoma de Barcelona
Textbook for graduate econometrics, it teaches ordinary least squares, maximum likelihood estimation, restrictions and hypothesis test, stochastic regressors, exogeneity and simultaneity, numeric optimization methods, method of moments, etc.
(23964 views)
Book cover: Production Economics: A Dual Approach to Theory and ApplicationsProduction Economics: A Dual Approach to Theory and Applications
by - North-Holland
Chapters: Cost, Revenue, and Profit Functions; Symmetric Duality and Polar Production Functions; Applications of Profit Functions; General Linear Profit Function; Duality, Intermediate Inputs and Value-Added; Hick's Aggregation Theorem; etc.
(13773 views)
Book cover: Introduction to Python for Econometrics, Statistics and Numerical AnalysisIntroduction to Python for Econometrics, Statistics and Numerical Analysis
by
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
(27883 views)
Book cover: Applied Nonparametric RegressionApplied Nonparametric Regression
by - Cambridge University Press
Nonparametric regression analysis has become central to economic theory. Hardle, by writing the first comprehensive and accessible book on the subject, contributed enormously to making nonparametric regression equally central to econometric practice.
(29967 views)