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The Dynamic Relationship between Household Loans of Depository Institutions and Housing Prices after the Financial Crisis

금융위기 이후 예금취급기관 가계대출과 주택가격의 동태적 관계

  • Han, Gyu-Sik (Department of Business Administration, Jeonbuk National University)
  • Received : 2020.11.30
  • Accepted : 2020.12.21
  • Published : 2020.12.30

Abstract

Purpose - This study aims in analyzing the dynamic relationship between household loans and housing prices according to the characteristics of depository institutions after the financial crisis, identifying the recent trends between them, and making policy suggestions for stabilizing house prices. Design/methodology/approach - The monthly data used in this study are household loans, household loan interest rates, and housing prices ranging from January 2012 to May 2020, and came from ECOS of the Bank of Korea and Liiv-on of Kookmin Bank. This study used vector auto-regression, generalized impulse response function, and forecast error variance decomposition with the data so as to yield analysis results. Findings - The analysis of this study no more shows that the household loan interest rates in both deposit banks and non-bank deposit institutions had statistically significant effects on housing prices. Also, unlike the previous studies, there was statistically significant bi-directional causality between housing prices and household loans in neither deposit banks nor non-bank deposit institutions. Rather, it was found that there is a unidirectional causality from housing prices to household loans in deposit banks, which is considered that housing prices have one-sided effects on household loans due to the overheated housing market after the financial crisis. Research implications or Originality - As a result, Korea's housing market is closely related to deposit banks, and housing prices are acting as more dominant information variables than interest rates or loans under the long-term low interest rate trend. Therefore, in order to stabilize housing prices, the housing supply must be continuously made so that everyone can enjoy housing services equally. In addition, the expansion and reinforcement of the social security net should be realized systematically so as to stop households from being troubled with the housing price decline.

Keywords

References

  1. 권현진, 유정석 (2014), "국제금융위기 전.후 가계부채와 수도권 주택매매시장의 구조적 변화", 국토연구, 81, 105-120.
  2. 금재호, 김기승, 조동훈, 조준모(2009) "자영업 노동시장 연구(I) - 자영업의 변화 추이와 특성", 한국노동연구원 연구보고서, 2009-03, 1-332. Available from: https://www.kli.re.kr/kli/selectRsrchReprtList.do?key=13&schRsrchRealmNo=1
  3. 김명직, 장국현 (2002), 금융시계열분석, 경문사.
  4. 김우석, 한규식 (2017), "COFIX금리는 주택담보대출금리를 선도하는가", 대한경영학회지, 30(12), 2127-2145.
  5. 김우영, 김현정 (2010), "가계부채의 결정요인 분석", 국제경제연구, 16(1), 39-78.
  6. 박연우, 방두완 (2012), "주택가격과 은행대출의 상관관계에 관한 연구", 금융연구, 26(1), 110-144.
  7. 양기진 (2008), "미국 서브프라임 위기에서 본 금융소비자보호법제에 대한 시사점", 증권법연구, 9(1), 263-300.
  8. 유경원, 황진태 (2017), "우리나라 가계의 동태적 부채보유 행태에 대한 분석", 통계연구, 22(4), 50-74. https://doi.org/10.22886/JKOS.2017.22.4.50
  9. 이헌석(2016), "부동산담보 대출규제 제도의 개선방안 - LTV와 DTI의 법적 검토 및 채무자 보호방안을 중심으로 -", 토지공법연구, 76권, 1-23.
  10. 임진(2020), "한국과 유로지역의 가계부채 미시구조 비교 분석 - 과대채무자를 중심으로", KIF 금융분석보고서, 한국금융연구원. Available from: https://www.kif.re.kr/kif3/publication/pub_detail?mid=21&nid=928&sid=928&vid=6083&cno=266321
  11. 전승훈, 임병인 (2012), "금융위기 전후 가계부채 보유실태 및 부채위험 분석", 재정정책논집, 14(2), 67-102.
  12. 정규일 (2006), "자산가격과 유동성 간의 관계분석", 한국경제연구, 17권, 257-287.
  13. 조광조 (2013), "가계대출과 주택가격의 상관관계: 글로벌 금융위기 전후를 중심으로", 경제연구, 31(1), 133-162.
  14. 최남진, 주동진 (2016), "가계부채 및 부채의 변동성이 소비와 성장률에 미치는 영향", 금융지식연구, 14(1), 71-100.
  15. 한상섭 (2011), "가계대출과 주택가격의 동태적 연관성", 금융연구, 2011(16), 1-42.
  16. 홍종학 (2005), "약탈적 대출에 관한 소고", 한국경제학보, 12(1), 239-265.
  17. 홍종학 (2006), "양극화와 경제구조개혁", 응용경제, 8(2), 141-194.
  18. 홍종학 (2011), "가계부채 문제해결을 위한 정책과제", 응용경제, 13(2), 169-190.
  19. Akaike, H. (1974), "A New Look at the Statistical Model Identification", IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/TAC.1974.1100705
  20. Bacchetta, P. and S. Gerlach (1997), "Consumption and Credit Constraints: International Evidence", Journal of Monetary Economics, 40(2), 207-238. https://doi.org/10.1016/S0304-3932(97)00042-1
  21. Box, G. E. P. and G. M. Jenkins (1970), Time Series Analysis: Forecasting and Control (Revised ed.), San Francisco: Holden Day.
  22. Brooks, C. (2014), Introductory Econometrics for Finance (3rd ed.), Cambridge, UK: Cambridge University Press.
  23. Debelle, G. (2004), "Macroeconomic Implications of Rising Household Debt", BIS Working Papers, No.153, 1-46. Available from: https://www.bis.org/publ/work153.htm
  24. Dickey, D. A. and W. A. Fuller (1979), "Distribution of the Estimators for Autoregressive Time Series Regression with a Unit Root", Journal of the American Statistical Association, 74(366), 427-431. https://doi.org/10.1080/01621459.1979.10482531
  25. Dickey, D. A. and W. A. Fuller (1981), "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root", Econometrica, 49(4), 1057-1072. https://doi.org/10.2307/1912517
  26. Goodhart, C. A. E. and B. Hofmann (2008), "House Prices, Money, Credit, and the Macroeconomy", Oxford Review of Economic Policy, 24(1), 180-205. https://doi.org/10.1093/oxrep/grn009
  27. Goodhart, C. A. E., M. A. Segoviano and B. Hofmann (2006), "Default, Credit Growth, and Asset Prices", IMF Working Paper, 2006(6), 1-43. Available from: https://www.imf.org/en/Publications/WP/Issues/2016/12/31/Default-Credit-Growth-and-Asset-Prices-19902
  28. Granger, C. W. J. (1969), "Investigating Causal Relations by Econometric Models and Cross-spectral Methods", Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791
  29. Hamilton, J. D. (1994), Time Series Analysis, Princeton: Princeton University Press.
  30. Hannan, E. J. and B. G. Quinn (1979), "The Determination of the Order of an Autoregression", Journal of the Royal Statistical Society, 41(2), 190-195. https://doi.org/10.1111/j.2517-6161.1979.tb01072.x
  31. Hofmann, B. (2003), "Bank Lending and Property Prices: Some International Evidence", Hong Kong Institute for Monetary Research Working Paper, 2003(22), 1-20. Available from: http://www.hkimr.org/uploads/publication/264/ub_full_0_2_3_wp200322_text.pdf
  32. Ludvigson, S. (1999), "Consumption and Credit: A Model of Time-Varying Liquidity Constraints", The Review of Economics and Statistics, 81(3), 434-447. https://doi.org/10.1162/003465399558364
  33. Mills, T. C. (2019), Applied Time Series Analysis, London: Academic Press.
  34. Oikarinen, E. (2009), "Interaction between Housing Prices and Household Borrowing: The Finnish Case", Journal of Banking and Finance, 33(4), 747-756. https://doi.org/10.1016/j.jbankfin.2008.11.004
  35. Phillips, P. C. B. and P. Perron (1988), "Testing for a Unit Root in Time Series Regression", Biometrika, 75(2), 335-346. https://doi.org/10.1093/biomet/75.2.335
  36. Said, E. S. and D. A. Dickey (1984), "Testing for Unit Roots in Autoregressive-Moving Average Models with Unknown Order", Biometrika, 71(3), 599-607. https://doi.org/10.1093/biomet/71.3.599
  37. Schwarz, G. (1978), "Estimating the Dimension of a Model", The Annals of Statistics, 6(2), 461-464. https://doi.org/10.1214/aos/1176344136
  38. Sims, C. A. (1980), "Macroeconomics and Reality", Econometrica, 48(1), 1-48. https://doi.org/10.2307/1912017
  39. Slutzky, E. (1937), "The Summation of Random Cause as the Source of Cyclic Processes", Econometrica, 5(2), 105-146. https://doi.org/10.2307/1907241
  40. Walker, G. T. (1931, June 3), "On Periodicity in Series of Related Terms", Proceedings of the Royal Society A, London, UK, 131(818), 518-532.
  41. Yule, G. U. (1926), "Why Do We Sometimes Get Nonsense-Correlations between Time Series? - A Study in Sampling and the Nature of Time Series", Journal of the Royal Statistical Society, 89(1), 1-63. https://doi.org/10.2307/2341482