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Can government stabilize the housing market? The evidence from South Korea

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  • Jang, Hanwool
  • Song, Yena
  • Ahn, Kwangwon

Abstract

This study aims to examine the effectiveness of government policies in stabilizing the housing market in South Korea. Analysis of condominium prices between 2012 and 2019 in conjunction with housing policy and regime changes reveals that: (1) housing policies effectively restrained the rapid increase of housing prices; (2) market efficiency was also improved; and (3) finally, housing prices approached close to long-run equilibrium. Our findings strongly indicate that government policies can be effective tools to stabilize housing prices, as well as improve market conditions.

Suggested Citation

  • Jang, Hanwool & Song, Yena & Ahn, Kwangwon, 2020. "Can government stabilize the housing market? The evidence from South Korea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    • Handle: RePEc:eee:phsmap:v:550:y:2020:i:c:s037843711932271x
    DOI: 10.1016/j.physa.2019.124114
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    as
    1. Los, Cornelis A. & Yu, Bing, 2008. "Persistence characteristics of the Chinese stock markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 64-82.
    2. Clark, Andrew, 2004. "Evidence of log-periodicity in corporate bond spreads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(3), pages 585-595.
    3. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    4. Czarnecki, Łukasz & Grech, Dariusz & Pamuła, Grzegorz, 2008. "Comparison study of global and local approaches describing critical phenomena on the Polish stock exchange market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6801-6811.
    5. Bingcun Dai & Fan Zhang & Domenico Tarzia & Kwangwon Ahn, 2018. "Forecasting Financial Crashes: Revisit to Log-Periodic Power Law," Complexity, Hindawi, vol. 2018, pages 1-12, August.
    6. Vladimir Filimonov & Didier Sornette, "undated". "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Working Papers ETH-RC-11-002, ETH Zurich, Chair of Systems Design.
    7. Petr Geraskin & Dean Fantazzini, 2013. "Everything you always wanted to know about log-periodic power laws for bubble modeling but were afraid to ask," The European Journal of Finance, Taylor & Francis Journals, vol. 19(5), pages 366-391, May.
    8. Johansen, Anders, 2003. "Characterization of large price variations in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 157-166.
    9. Zhou, Wei-Xing & Sornette, Didier, 2003. "2000–2003 real estate bubble in the UK but not in the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(1), pages 249-263.
    10. Eric Wong & Tom Fong & Ka-fai Li & Henry Choi, 2011. "Loan-to-Value Ratio as a Macro-Prudential Tool - Hong Kong's Experience and Cross-Country Evidence," Working Papers 1101, Hong Kong Monetary Authority.
    11. Ms. Deniz O Igan & Mr. Heedon Kang, 2011. "Do Loan-To-Value and Debt-To-Income Limits Work? Evidence From Korea," IMF Working Papers 2011/297, International Monetary Fund.
    12. Zhou, Wei-Xing & Sornette, Didier, 2009. "A case study of speculative financial bubbles in the South African stock market 2003–2006," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 869-880.
    13. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    14. Jérôme Vandenbussche & Ursula Vogel & Enrica Detragiache, 2015. "Macroprudential Policies and Housing Prices: A New Database and Empirical Evidence for Central, Eastern, and Southeastern Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 343-377, March.
    15. Vandewalle, N. & Boveroux, Ph. & Minguet, A. & Ausloos, M., 1998. "The crash of October 1987 seen as a phase transition: amplitude and universality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 255(1), pages 201-210.
    16. Allen, Franklin & Carletti, Elena, 2011. "What Should Central Banks Do about Real Estate Prices?," Working Papers 11-29, University of Pennsylvania, Wharton School, Weiss Center.
    17. Hanwool Jang & Yena Song & Sungbin Sohn & Kwangwon Ahn, 2018. "Real Estate Soars and Financial Crises: Recent Stories," Sustainability, MDPI, vol. 10(12), pages 1-12, December.
    18. Philipp Hartmann, 2015. "Real Estate Markets and Macroprudential Policy in Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 69-80, March.
    19. Claessens, Stijn & Ghosh, Swati R. & Mihet, Roxana, 2013. "Macro-prudential policies to mitigate financial system vulnerabilities," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 153-185.
    20. Eom, Cheoljun & Choi, Sunghoon & Oh, Gabjin & Jung, Woo-Sung, 2008. "Hurst exponent and prediction based on weak-form efficient market hypothesis of stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(18), pages 4630-4636.
    21. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    22. Anders Johansen & Olivier Ledoit & Didier Sornette, 2000. "Crashes As Critical Points," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 219-255.
    23. Filimonov, V. & Sornette, D., 2013. "A stable and robust calibration scheme of the log-periodic power law model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3698-3707.
    24. Franses, Philip Hans & Ghijsels, Hendrik, 1999. "Additive outliers, GARCH and forecasting volatility," International Journal of Forecasting, Elsevier, vol. 15(1), pages 1-9, February.
    25. Zhou, Wei-Xing & Sornette, Didier, 2006. "Is there a real-estate bubble in the US?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 297-308.
    26. Kok, Christoffer & Martin, Reiner & Moccero, Diego & Sandström, Maria, 2014. "Recent Experience of European Countries with Macro-Prudential Policy," Financial Stability Review, European Central Bank, vol. 1.
    27. Vladimir Filimonov & Didier Sornette, 2011. "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Papers 1108.0099, arXiv.org, revised Jun 2013.
    28. Lin, L. & Ren, R.E. & Sornette, D., 2014. "The volatility-confined LPPL model: A consistent model of ‘explosive’ financial bubbles with mean-reverting residuals," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 210-225.
    29. Stanislaw Drozdz & Jaroslaw Kwapien & Pawel Oswiecimka, 2008. "Criticality Characteristics of Current Oil Price Dynamics," Papers 0808.3360, arXiv.org.
    30. Hendrik J. Blok, 2000. "On the nature of the stock market: Simulations and experiments," Papers cond-mat/0010211, arXiv.org.
    31. K. Ahn & D. Lee & S. Sohn & B. Yang, 2019. "Stock market uncertainty and economic fundamentals: an entropy-based approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1151-1163, July.
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