Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques

Research background: Financial cycles are behind many deep financial crises and it closely connects them with the business cycles, showing long memory properties and effects. Being closely connected with the business cycles, we must first explore the true nature of the financial cycles to understand...

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Main Authors: Marinko Skare, Małgorzata Porada-Rochoń
Format: Article
Language:English
Published: Institute of Economic Research 2019-03-01
Series:Equilibrium. Quarterly Journal of Economics and Economic Policy
Subjects:
Online Access:http://economic-research.pl/Journals/index.php/eq/article/view/1426
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spelling doaj-e26660dd482841c2a26e37b8e4a443c02020-11-25T02:26:22ZengInstitute of Economic ResearchEquilibrium. Quarterly Journal of Economics and Economic Policy1689-765X2353-32932019-03-0114172910.24136/eq.2019.0011426Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniquesMarinko Skare0Małgorzata Porada-Rochoń1Juraj Dobrila University of PulaUniversity of SzczecinResearch background: Financial cycles are behind many deep financial crises and it closely connects them with the business cycles, showing long memory properties and effects. Being closely connected with the business cycles, we must first explore the true nature of the financial cycles to understand the nature of the business cycles. Financial cycles are real, they have long memory properties and long-lasting effects on the economy. Purpose of the article: This study investigates the use of (SSA) in tracking and monitoring financial cycles focusing on ten (10) transitional economies 2005–2018. Methods: Singular spectrum analysis isolate significant oscillatory patterns (cycles) on housing markets with an average 4-years length. We isolate credit cycles just for Bulgaria, implying long memory properties of the cycles since this study investigated medium term (2–5 years) oscillations. Findings & Value added: The results prove the importance and advantages of using (SSA) in the study of financial cycles attempting to reveal the true nature of financial cycles as the principal component behind business cycles. Financial cycles show longer oscillations in the credit and property price series, which can explain 37.7%–49.9% of the variance of the total financial cycle fluctuations. Study results are of practical importance, particularly to policy-makers and practitioners in former transitional economies being vulnerable to adverse shocks on the financial markets. The results should assist policy-makers and financial practitioners in building and maintaining a sound financial policy needed to avoid future financial “bubbles”.http://economic-research.pl/Journals/index.php/eq/article/view/1426financial cyclesspectral analysiscountries in transitionturning pointduration
collection DOAJ
language English
format Article
sources DOAJ
author Marinko Skare
Małgorzata Porada-Rochoń
spellingShingle Marinko Skare
Małgorzata Porada-Rochoń
Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
Equilibrium. Quarterly Journal of Economics and Economic Policy
financial cycles
spectral analysis
countries in transition
turning point
duration
author_facet Marinko Skare
Małgorzata Porada-Rochoń
author_sort Marinko Skare
title Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
title_short Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
title_full Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
title_fullStr Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
title_full_unstemmed Tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (SSA) techniques
title_sort tracking financial cycles in ten transitional economies 2005–2018 using singular spectrum analysis (ssa) techniques
publisher Institute of Economic Research
series Equilibrium. Quarterly Journal of Economics and Economic Policy
issn 1689-765X
2353-3293
publishDate 2019-03-01
description Research background: Financial cycles are behind many deep financial crises and it closely connects them with the business cycles, showing long memory properties and effects. Being closely connected with the business cycles, we must first explore the true nature of the financial cycles to understand the nature of the business cycles. Financial cycles are real, they have long memory properties and long-lasting effects on the economy. Purpose of the article: This study investigates the use of (SSA) in tracking and monitoring financial cycles focusing on ten (10) transitional economies 2005–2018. Methods: Singular spectrum analysis isolate significant oscillatory patterns (cycles) on housing markets with an average 4-years length. We isolate credit cycles just for Bulgaria, implying long memory properties of the cycles since this study investigated medium term (2–5 years) oscillations. Findings & Value added: The results prove the importance and advantages of using (SSA) in the study of financial cycles attempting to reveal the true nature of financial cycles as the principal component behind business cycles. Financial cycles show longer oscillations in the credit and property price series, which can explain 37.7%–49.9% of the variance of the total financial cycle fluctuations. Study results are of practical importance, particularly to policy-makers and practitioners in former transitional economies being vulnerable to adverse shocks on the financial markets. The results should assist policy-makers and financial practitioners in building and maintaining a sound financial policy needed to avoid future financial “bubbles”.
topic financial cycles
spectral analysis
countries in transition
turning point
duration
url http://economic-research.pl/Journals/index.php/eq/article/view/1426
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