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Based upon his life-long collaboration with Hyman Minsky, Piero Ferri explores and reconsiders Minsky's moments in the aftermath of the 'Great Recession' of 2008. He sets out the analytical and methodological foundations of Minsky's financial instability hypothesis, offering insightful comments from a unique insider's perspective. This book stresses the necessity of including what has been recently discovered about Minsky's financial instability hypothesis into his lifelong research program, in order to obtain a more complete picture of both his vision and his analytical apparatus. It seeks to move beyond a discussion of Minsky's original ideas, to verify how they are capable of meeting the challenges derived from the modern evolution of the economy. Developing a meta-model based on regime switching, Piero Ferri examines how the different financial instability hypotheses can be accounted for. Researchers and advanced students in macroeconomics and finance will greatly benefit from the exploration of how Minsky predicted the 'Great Recession', and why his work is of fundamental relevance today. Economic policy makers will also find this book to be a useful tool in discovering methodological innovations to aid further financial recovery from the 2008 economic crisis.

Economics. --- Economists --- Recessions. --- Minsky, Hyman P. --- Economics --- Economists - United States --- Keynesian economics --- Financial crises - Mathematical models --- Business cycles - Mathematical models --- Uncertainty - Mathematical models --- Endogenous growth (Economics) - Mathematical models --- International economic relations --- Financial crises --- Business cycles --- Uncertainty --- Endogenous growth (Economics)

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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 incredibly helpful to understanding and predicting debt crises and evaluating proposed financial regulation and risk management. Stochastic Optimal Control and the U.S. Financial Debt Crisis 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. Jerome L. Stein has been an emeritus professor of economics at Brown University since 1993, and has served as a visiting professor of applied mathematics since 1997. He is the author of nine research monographs, and has published over 100 journal articles in such leading publications as American Economic Review, Review of Economics and Statistics, Journal of Banking and Finance, and Contemporary Mathematics. He has served on the editorial boards of the Journal of Finance, American Economic Review, Journal of International and Comparative Economics, and the Journal of Banking and Finance.

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