Davor Kunovac

Croatian National Bank

Croatia

SCHOLARLY PAPERS

3

DOWNLOADS

295

SSRN CITATIONS
Rank 44,370

SSRN RANKINGS

Top 44,370

in Total Papers Citations

10

CROSSREF CITATIONS

6

Scholarly Papers (3)

1.

Exchange Rate Pass-Through in the Euro Area

ECB Working Paper No. 2003
Number of pages: 62 Posted: 03 Feb 2017
Mariarosaria Comunale and Davor Kunovac
Bank of Lithuania - Economics Department and Croatian National Bank
Downloads 128 (274,258)
Citation 10

Abstract:

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exchange rate pass-through, import prices, consumer prices, inflation, bayesian vectorautoregression

2.

Real and Financial Cycles in EU Countries: Stylised Facts and Modelling Implications

ECB Occasional Paper No. 205, ISBN: 978-92-899-3364-3
Number of pages: 68 Posted: 11 Jan 2018
European Central Bank, Bank of Greece, European Central Bank (ECB), Bank of Latvia, Bank of Lithuania - Economics Department, National Bank of Belgium, Catholic University of Leuven (KUL) - Department of Economics, Banque Centrale du Luxembourg, Bank of Finland - Research, De Nederlandsche Bank, Bank of Portugal - Economic Research Department, European Central Bank (ECB) - Directorate General Research, Bank of Estonia, Croatian National Bank, Bank of Slovenia, National Institute of Statistics and Economic Studies (INSEE), Central Bank of Ireland, Deutsche Bundesbank - Economics Department, Bank of Greece, National Bank of Denmark, Banco de España, Hans-Boeckler-Stiftung - Macroeconomic Policy Institute (IMK), Magyar Nemzeti Bank, Deutsche Bundesbank and European Central Bank
Downloads 111 (303,915)
Citation 2

Abstract:

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financial cycles, synchronicity, real-time estimates, DSGE models

3.

Financial Cycles in Euro Area Economies: A Cross-Country Perspective

Deutsche Bundesbank Discussion Paper No. 04/2018
Number of pages: 36 Posted: 28 Mar 2018
Davor Kunovac, Martin Mandler and Michael Scharnagl
Croatian National Bank, Deutsche Bundesbank - Economics Department and Deutsche Bundesbank
Downloads 56 (451,717)

Abstract:

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financial cycles, band-pass filter, principal components, wavelet analysis