Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/173880
Authors: 
Gaglianone, Wagner Piazza
Areosa, Waldyr Dutra
Year of Publication: 
2017
Series/Report no.: 
IDB Working Paper Series IDB-WP-826
Abstract: 
This paper proposes a methodology for constructing a Financial Conditions Indicator (FCI) based on factor analysis and the approaches of Brave and Butters (2011) and Aramonte et al. (2013). A selected set of variables is used and their information content aggregated into a single index that summarizes the overall financial conditions of the economy. The approach is further employed to forecast economic activity. An empirical exercise for Brazil is provided to illustrate the methodology, in which a reduced-form equation is employed to point forecast the growth rate of the Brazilian economy. In addition, a quantile regression technique is used to construct density forecasts and generate probability density functions of future economic activity. Finally, a risk analysis is conducted within this set-up in order to compute conditional probabilities of the growth rate of the economy to be above/below a given scenario, which might be useful for both academics and policymakers' concerns.
Subjects: 
Financial conditions index
Forecasting economic activity
JEL: 
C53
E32
G10
G17
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by-nc-nd/3.0/igo/legalcode
Document Type: 
Working Paper

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