- Issue
- Journal of Siberian Federal University. Humanities & Social Sciences. 2025 18 (12)
- Authors
- Serkov, Leonid A.
- Contact information
- Serkov, Leonid A. : Institute of Economics UB RAS Ekaterinburg, Russian Federation; ; ORCID: 0000-0002-3832-3978
- Keywords
- financial and economic cycle; wavelet analysis; residential property prices; loan debt; wavelet coherence; cause-and-effect relationships
- Abstract
This study empirically analyzes the relationship between financial and business cycles in the Russian economy for the period from 2002 to 2024 using multivariate wavelet analysis (MWA), which allows studying dynamics in the time and frequency domains. Residential real estate prices and the volume of corporate loan debt are used as financial cycle indicators, while gross domestic product (GDP) is used as a business cycle indicator. A stable long-term (cycle period of 8–16 years) interdependence is revealed: real estate prices outpace GDP, acting as its driver; loan debt and GDP are linked by a two- way feedback loop: economic growth stimulates lending, which supports economic activity. In the medium term (4–8 years) up to 2011–2015, a one-way causality from GDP to financial indicators was observed (the commodity growth model), but after 2015–2016. Sanctions and the change in monetary policy disrupted the synchronization. The results highlight the importance of considering time-frequency specificity when formulating macroprudential policy
- Pages
- 2540–2554
- EDN
- XBPKRQ
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/158011
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).