Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment

Costas Milas and Ruthira Naraidoo

Working Paper series from Rimini Centre for Economic Analysis

Abstract: We explore how the ECB sets interest rates in the context of policy reaction functions. Using both real-time and revised information, we consider linear and nonlinear policy functions in inflation, output and a measure of financial conditions. We find that amongst Taylor rule models, linear and nonlinear models are empirically indistinguishable within sample and that model specifications with real-time data provide the best description of in-sample ECB interest rate setting behavior. The 2007-2009 financial crisis witnesses a shift from inflation targeting to output stabilisation and a shift, from an asymmetric policy response to financial conditions at high inflation rates, to a more symmetric response irrespectively of the state of inflation. Finally, without imposing an a priori choice of parametric functional form, semiparametric models forecast out-of-sample better than linear and nonlinear Taylor rule models.

Keywords: monetary policy; nonlinearity; real time data; financial conditions (search for similar items in EconPapers)
JEL-codes: C51 C52 C53 E52 E58 (search for similar items in EconPapers)
Date: 2009-01
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Citations: View citations in EconPapers (1)

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Working Paper: Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:rim:rimwps:42_09

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