Impacts of monetary policies on the real estate bubble in Hanoi, Vietnam
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DOIhttp://dx.doi.org/10.21511/imfi.20(1).2023.20
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Article InfoVolume 20 2023, Issue #1, pp. 228-237
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The development of the real estate market always goes hand in hand with the fluctuation of the economy. In recent years, this market has experienced many recessions and «freezes» associated with the appearance of a real estate bubble. To approach this issue, this paper studies and gives an overview of the real estate bubble and the impact of monetary policies on the real estate bubble in Vietnam. This paper’s purpose is to identify and measure the influence of monetary policies, including interest rates, credit and money supply, on the real estate bubble in Ha Noi. The vector autoregression model (VAR) is used to test the interaction of the variables in the model. Dickey-Fuller test (DF) is applied to determine the stationarity of the variables, while the Akaike information criterion (AIC), Likelihood Ratio (LR), Final prediction error (FPE), Hannan-Quinn information criterion (HQ) and Schwarz criterion (SC) are used to find optimal lag of the model; then Granger causality test is utilized to determine the two-way correlation between variables. The results showed that the real estate bubble reacted quickly to shocks from macroeconomic factors representing the monetary policy, consisting of interbank interest rates, credit growth, and money supply growth. Thus, it is concluded that monetary policy is not only the cause of formation, but also one of the effective solutions to deflate the real estate bubble.
Acknowledgment
This research is funded by Vietnam Ministry of Education and Training (MOET) under grant number [B2022-NTH-03].
- Keywords
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JEL Classification (Paper profile tab)G1, G11, G12, G18
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References41
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Tables3
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Figures1
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- Figure 1. Impulse response results of SPPI to various variables
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- Table 1. DF test results
- Table 2. Granger causality test results
- Table 3. VAR model estimation results
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- Bùi Ngọc Toản, & Đoàn Thị Thu Trang. (2018). Tác động của các yếu tố tài chính đến thị trường nhà ở tại thành phố Hồ Chí Minh. Journal of Science and Technology, Da Nang University, 32-36. (In Vietnamese).
- Caspi, I. (2016). Testing for a housing bubble at the national and regional level: the case of Israel. Empirical Economics, 51(2), 483-516.
- Chen, D. (2013). An empirical analysis of house price bubble: A case study of Beijing housing market (Doctoral dissertation). Lincoln University.
- Coleman, V. M., LaCour-Little, M., & Vandell, K. D. (2008). Subprime lending and the housing bubble: Tail wags dog? Journal of Housing Economics, 17(4), 272-290.
- Coskun, Y., & Jadevicius, A. (2017). Is there a housing bubble in Turkey? Real Estate Management and Valuation, 25(1), 48-73.
- Davis, E. P., & Zhu, H. (2011). Bank lending and commercial property cycles: some cross-country evidence. Journal of International Money and Finance, 30(1), 1-21.
- Đào Hữu Hòa. (2013). Thị trường bất động sản ở Việt Nam, nguồn gốc hình thành bong bóng bất động sản và hậu quả của nó. Tạp chí Nghiên cứu Kinh tế, 424, 46-53. (In Vietnamese).
- Đào Ngọc Mai. (2018). Nghiên cứu thực trạng giá đất ở trên địa bàn thành phố Thái Bình giai đoạn 2015–2018. (In Vietnamese).
- Doan Thanh Ha. (2013). Financial measures to limit the real estate bubble in the world and its application to Vietnam. Banking Journal, 23(December), 50-57.
- Doan Thanh Ha, & Le Thanh Ngoc. (2013). The relationship between bank credit and housing prices. Journal of Development & Integration, 11(21), 51-54.
- Do Duy Tan, & Phuong Lan Le. (2022). Bubbles and contagion on the Vietnam stock market and real estate market. Proceedings of Conference on “Correlation between stock bubbles and real estate bubbles in Vietnam from 2005 to 2022”. Foreign Trade University, Vietnam.
- Greenspan, A. (2015). Comments and discussion. Brookings Papers on Economic Activity, 197-206.
- Hội Môi giới bất động sản Việt Nam, Báo cáo Thị trường Bất động sản Việt Nam từ Quý 1 năm 2017 đến Quý 4 năm 2021. (In Vietnamese).
- John, F. M., & Houston, H. S (2011). Monetary Policy and the Housing Bubble. The Journal of Real Estate Finance and Economics (2013), 46, 437-451.
- John Muellbauer, & Anthony Murphy. (2008). Boom and busts in the UK housing market. The Economic Journal, 107(445), 1701-1727.
- Karl E. Case, & Robert J. Shiller. (2003). Is there a Bubble in the Housing Market? Brookings Papers on Economic Activity, 2, 299-342.
- Kim, K.-H., & Suh, S.-H. (1993). Speculation and price bubbles in the Korean and Japanese real estate markets. Journal of Real Estate Finance and Economics, 6, 73-87.
- Kivedal, B. K. (2012). Testing for rational bubbles in the housing market (Working paper series No.10/2012). Norwegian University of Science and Technology.
- Kuang, W., & Liu, P. (2015). Inflation and house prices: theory and evidence from 35 major cities in China. International Real Estate Review, 18(1), 217-240.
- Labonte, M. (2005). US housing prices: Is there a bubble? Congressional Information Service, Library of Congress.
- Le Thanh Ngoc. (2014). The housing bubble in Ho Chi Minh city (PhD thesis in economics). Banking University of Ho Chi Minh City.
- Liu, T. Y., Chang, H. L., Su, C. W., & Jiang, X. Z. (2016). China’s housing bubble burst? Economics of Transition, 24(2), 361-389.
- Mark, T. (2009). The Economics of Housing Bubbles, America’s Housing Crisis: A case of Government Failure.
- Ogonna Nneji, Chris Brooks, & Charles Ward (2020). Intrinsic and Rational Speculative Bubbles in the U.S. Housing Market: 1960–2011. Journal of Real Estate Research, 35(2), 121-152.
- Phạm Hữu Tỵ, & Nguyễn Phúc Khoa. (2015). Ứng dụng phương pháp so sánh dữ liệu thị trường định giá đất ở đô thị tại phường Thạch Linh, thành Phố Hà Tĩnh. Hue University Journal of Science (HU JOS), 112, 13. (In Vietnamese).
- Phan Hoàng Long. (2020). Quan hệ giữa các yếu tố kinh tế vĩ mô và bong bóng bất động sản: Nghiên cứu thực tế tại TP. Hồ Chí Minh và các tỉnh lân cận. (In Vietnamese).
- Pillay, S., & Rangel, G. J. (2008). Evidence and determinants of real estate bubbles: The case of Singapore.
- Phillips, P. C. B., & Yu, J. (2011). Dating the Timeline of Financial Bubbles During the Subprime Crises. Quantitative Economics, 2(3), 455-491.
- Phillips, P.C.B, Shi, S., Yu, J., (2013). Specification Sensitivities in the Markov-Switching Unit Root Test for Bubbles. Empirical Economics, 45, 697-713.
- Phillips, P.C.B., Shi, S.-P., & Yu, J. (2015a). Testing for multiple bubbles: Historical episodes of exuberance and collapse in the S&P 500. International Economic Review, 56(4), 1043-1078.
- Ryan Dong Chen, Christopher Gan, & Baiding Hu. (2013). An Empirical Analysis of House Price Bubble: A Case Study of Beijing Housing Market. Research in Applied Economics, 5(1).
- Savills Việt Nam. (n.d.). Báo cáo thị trường Bất động sản Việt Nam từ quý I năm 2015 – quý 4 năm 2021. (In Vietnamese).
- Subramaniam S. Pillay, & Gary John Rangel. (2010). Evidence and Determinants of Real Estate Bubbles: The Case of Singapore.
- Stefan, G. (2004). Interest rate setting by the ECB: Words and deeds (Discussion paper No. 4775). Hong Kong Monetary Authority, Hong Kong Institute for Monetary Research and the CEPR.
- Thông tư 31/2016/TT-BXD.
- Tổng cục Thống kê. (n.d.). Niên giám thống kê các năm từ 2010–2020.
- Trần Lê. (2020). Vì sao đi làm 20 năm vẫn chưa mua nổi nhà ở TP. Hồ Chí Minh. (In Vietnamese).
- Truong Quang Hien et al. (2018). Thực trạng giá đất ở thị trường trên địa bàn Thị trấn Bồng Sơn, Huyện Hoài Nhơn, Tỉnh Bình Định. Science Journal of Natural Resources and Environment, 20, 86-98. (In Vietnamese).
- X. E. Xu, & T. Chen (2011). The effect of monetary policy on real estate price growth in China. Pacific-Basin Finance Journal, 20(2012), 62-77.
- Yan, N. (2019). Study on the Influence of Monetary Policy on Real Estate Price in China. Journal of Service Science and Management, 12, 152-171.
- Zhou, W. X., & Sornette, D. (2006). Is there a real-estate bubble in the US? Physica A: Statistical Mechanics and Its Applications, 361, 297-308.