Evaluating the Information Value for Measures of Systemic Conditions

John Dooley, Dieter Gramlich, Mikhail Oet, Stephen J. Ong and Peter Sarlin ()

No 1513, Working Papers (Old Series) from Federal Reserve Bank of Cleveland

Abstract: Timely identification of coincident systemic conditions and forward-looking capacity to anticipate adverse developments are critical for macroprudential policy. Despite clear recognition of these factors in literature, an evaluation methodology and empirical tests for the information value of coincident measures are lacking. This paper provides a twofold contribution to the literature: (i) a general-purpose evaluation framework for assessing information value for measures of systemic conditions, and (ii) an empirical assessment of the information value for several alternative measures of US systemic conditions. We find substantial differences among the measures, of which the Cleveland Financial Stress Index shows best-in-class identification performance. In terms of forecasting performance, Kamakura?s Troubled Company Index, Cleveland Financial Stress Index, and Goldman Sachs Financial Conditions Index show moderately stable usefulness metrics over time.

Keywords: Information value; Systemic conditions; Coincident measures; Early warning; Macroprudential policy (search for similar items in EconPapers)
JEL-codes: E32 E37 G01 G18 G28 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2015-08-06
New Economics Papers: this item is included in nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.26509/frbc-wp-201513

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