Stochastic Optimal Control, and U.S. Debt Crises

Small book cover: Stochastic Optimal Control, and U.S. Debt Crises

Stochastic Optimal Control, and U.S. Debt Crises

Publisher: Springer
ISBN/ASIN: 146143078X
ISBN-13: 9781461430780
Number of pages: 180

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.

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