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A UK financial conditions index using targeted data reduction: forecasting and structural identification

Kapetanios, G and Price, SG and Young, G (2017) A UK financial conditions index using targeted data reduction: forecasting and structural identification. Working Paper. Essex Finance Centre Working Papers, Colchester.

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Abstract

A financial conditions index(FCI)is designed to summarise the state of financial markets. We construct two with UK data. The first is the first principal component(PC)of a set of financial indicators. The second comes from a new approach taking information from a large set of macroeconomic variables weighted by the joint covariance with a subset of the financial indicators (a set of spreads), using multivariate partial least squares, again using the first factor. The resulting FCIs are broadly similar. They both have some forecasting power for monthly GDP in a quasi-real-time recursive evaluation from 2011-2014 and outperform an FCI produced by Goldman Sachs. A second factor, that may be interpreted as a monetary conditions index, adds further forecast power, while third factors have a mixed effect on performance. The FCIs are used to improve identification of credit supply shocks in an SVAR. The main effects relative to an SVAR excluding an FCI of the (adverse) credit shock IRFs are to make the positive impact on inflation more precise and to reveal an increased positive impact on spreads.

Item Type: Monograph (Working Paper)
Uncontrolled Keywords: Forecasting, Financial conditions index, Targeted data reduction, Multivariate partial least squares, Credit shocks
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HG Finance
Divisions: Faculty of Social Sciences > Essex Business School
Faculty of Social Sciences > Essex Business School > Essex Finance Centre
Depositing User: Elements
Date Deposited: 07 Sep 2017 10:52
Last Modified: 04 Dec 2017 22:33
URI: http://repository.essex.ac.uk/id/eprint/20328

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