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28 - Systemic Risk EarlyWarning System: A Micro-Macro Prudential Synthesis

from PART IX - REGULATION

Published online by Cambridge University Press:  05 June 2013

By
Mikhail V. Oet ,
Ryan Eiben ,
Timothy Bianco ,
Dieter Gramlich ,
Stephen J. Ong  and
Jing Wang
Edited by
Jean-Pierre Fouque  and
Joseph A. Langsam
Mikhail V. Oet
Affiliation:
Usa
Ryan Eiben
Affiliation:
Indiana University
Timothy Bianco
Affiliation:
Usa
Dieter Gramlich
Affiliation:
Baden-Wuerttemberg Cooperative State University
Stephen J. Ong
Affiliation:
Usa
Jing Wang
Affiliation:
Cleveland State University
Jean-Pierre Fouque
Affiliation:
University of California, Santa Barbara
Joseph A. Langsam
Affiliation:
University of Maryland, College Park
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Summary

Abstract From the financial supervisor's point of view, an early warning system involves an ex ante approach to regulation, targeted to predict and prevent crises. An efficient EWS allows timely ex ante policy action and can reduce the need for ex post regulation. This chapter builds on existing microprudential and macroprudential early warning systems (EWSs) to propose a hybrid class of models for systemic risk, incorporating the structural characteristics of the financial system and a feedback amplification mechanism. The models explain financial stress using data from the five largest bank holding companies, regressing institutional imbalances using an optimal lag method. The z-scores of institutional data are justified as explanatory imbalances. The models utilize both public and proprietary supervisory data. The Systemic Assessment of Financial Environment (SAFE) EWS monitors microprudential information from systemically important institutions to anticipate the buildup of macroeconomic stresses in the financial markets at large. To the supervisor, SAFE offers a toolkit of possible institutional actions that can be used to diffuse the buildup of systemic stress in the financial markets. A hazard inherent in all ex ante models is that the model's uncertainty may lead to wrong policy choices. To mitigate this risk, SAFE develops two modeling perspectives: a set of medium-term (six-quarter) forecasting specifications that gives policymakers enough time to take ex ante policy action, and a set of short-term (two-quarter) forecasting specifications for verification and adjustment of supervisory actions. Individual financial institutions may utilize the public version of SAFE EWS to enhance systemic risk stress testing and scenario analysis.

Type
Chapter
Information
Handbook on Systemic Risk , pp. 791 - 846
Publisher: Cambridge University Press
Print publication year: 2013

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