Andrew W. Lo

Joseph G. Haubrich

In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.

Quantifying Systemic Risk

Joseph A. Ritter

Actual policy decisions are made in real time and are not irrevocable, but most policy modeling has neglected these mundane factors. In an environment of uncertainty, the ability to switch policies adds an option value to the choice problem. This "option to wait" makes the incumbent regime relatively more attractive (compared to the traditional once-and-for-all analysis), as does increased uncertainty, which increases the value of the option. Furthermore, because the commitment decision takes place in real time, policy choice displays hysteresis. This approach also extends some results in the real options literature.

Joseph G. Haubrich

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