2016
DOI: 10.1080/00128775.2016.1192950
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A New Measure of the Financial Cycle: Application to the Czech Republic

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Cited by 4 publications
(2 citation statements)
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“…We use those variables to assess the cyclical behaviour of monetary policy towards four proxies of financial cycles: credit/GDP (credit cycle), debt service ratios (DSR cycle), nominal house prices (NHP cycle) and the natural logarithm of the stock market index (SMI cycle) in each country. Based on the literature, these variables should be considered as adequate financial cycle measures, showing cyclical swings of credit, indebtedness of the economy, real estate cycles and stock market fluctuations (Borio et al 2010;Drehmann -Juselius 2013;Pla sil et al 2016).…”
Section: Methodsmentioning
confidence: 99%
“…We use those variables to assess the cyclical behaviour of monetary policy towards four proxies of financial cycles: credit/GDP (credit cycle), debt service ratios (DSR cycle), nominal house prices (NHP cycle) and the natural logarithm of the stock market index (SMI cycle) in each country. Based on the literature, these variables should be considered as adequate financial cycle measures, showing cyclical swings of credit, indebtedness of the economy, real estate cycles and stock market fluctuations (Borio et al 2010;Drehmann -Juselius 2013;Pla sil et al 2016).…”
Section: Methodsmentioning
confidence: 99%
“…The second is that the median of the subindicators entering the FCI calculation corresponds to a kind of "equilibrium" situation where the financial cycle is neither significantly subdued nor overheating. The FCI is constructed using a quadratic system of weights (for more details, see Plašil et al, 2016), so the relationship between the FCI values and the CCyB rate is non-linear. A consequence of this property is that the bands of FCI values are not necessarily of the same width for all the rates, and it does not hold that an increase in the FCI values leads to a proportional change in the rate.…”
Section: Deciding Upon the Ccyb Ratementioning
confidence: 99%