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House price bubble detection in Ukraine

Alona Shmygel (National Bank of Ukraine, Kyiv, Ukraine) (State University of Trade and Economics, Kyiv, Ukraine)
Martin Hoesli (Geneva School of Economics and Management, University of Geneva, Geneva, Switzerland) (Business School, University of Aberdeen, Aberdeen, UK)

Journal of European Real Estate Research

ISSN: 1753-9269

Article publication date: 26 May 2023

Issue publication date: 11 October 2023

120

Abstract

Purpose

The purpose of this paper is to present a framework for the assessment of the fundamental value of house prices in the largest Ukrainian cities, as well as to identify the thresholds, the breach of which would signal a bubble.

Design/methodology/approach

House price bubbles are detected using two approaches: ratios and regression analysis. Two variants of each method are considered. The authors calculate the price-to-rent and price-to-income ratios that can identify a possible overvaluation or undervaluation of house prices. Then, the authors perform regression analyses by considering individual multi-factor models for each city and by using a within regression model with one-way (individual) effects on panel data.

Findings

The only pronounced and prolonged period of a house price bubble is the one that coincides with the Global Financial Crisis. The bubble signals produced by these methods are, on average, simultaneous and in accordance with economic sense.

Research limitations/implications

The framework described in this paper can serve as a model for the implementation of a tool for detecting house price bubbles in other countries with emerging, small and open economies, due to adjustments for high inflation and significant dependence on reserve currencies that it incorporates.

Practical implications

A tool for measuring fundamental house prices and a bubble indicator for housing markets will be used to monitor the systemic risks stemming from the real estate market. Thus, it will help the National Bank of Ukraine maintain financial stability.

Social implications

The framework presented in this research will contribute to the enhancement of the systemic risk analysis toolkit of the National Bank of Ukraine. Therefore, it will help to prevent or mitigate risks that might originate in the real estate market.

Originality/value

The authors show how to implement an instrument for detecting house price bubbles in Ukraine. This will become important in the context of the after-war reconstruction of Ukraine, with mortgages potentially becoming the main tool for the financing of the rebuilding/renovation of the residential real estate stock.

Keywords

Acknowledgements

This research took place through the coaching program under the Bilateral Assistance and Capacity Building for Central Banks (BCC), financed by SECO (the Swiss State Secretariat for Economic Affairs) and the Graduate Institute in Geneva. The authors acknowledge helpful suggestions and comments from Elias Oikarinen at the University of Oulu (Finland), Louis Johner at the University of Geneva (Switzerland) as well as from two reviewers. The views expressed in this paper are solely those of the authors and do not necessarily reflect those of the National Bank of Ukraine.

Citation

Shmygel, A. and Hoesli, M. (2023), "House price bubble detection in Ukraine", Journal of European Real Estate Research, Vol. 16 No. 2, pp. 297-324. https://doi.org/10.1108/JERER-10-2022-0031

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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