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The Quantification of Systemic Risk and Stability

The Quantification of Systemic Risk and Stability

New Methods and Measures

Chapter:
(p.222) (p.223) 6 The Quantification of Systemic Risk and Stability
Source:
Quantifying Systemic Risk
Author(s):
Romney B. Duffey
Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226921969.003.0008

This chapter analyzes world economic data in order to predict the next crisis probability based on the presence and influence of human risk taking and decision making in financial markets. It summarizes recent ideas on risk prediction for multiple technological systems using existing data, and explicitly includes the key impact of human involvement using the learning hypothesis. It is argued that risk is caused by uncertainty, and the measure of uncertainty is probability. The risk of an outcome (accident, event, error, or failure) is never zero, and the possibility of an outcome always exists, with a chance given by the future (posterior) probability. The key is to include the human involvement, and to create and use the correct and relevant measures for experience, learning, complexity, and risk exposure. A commentary is also provided at the end of the chapter.

Keywords:   financial crisis, human risk taking, decision making, financial markets, risk prediction

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