- E-ISSN2233-5382
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The Effect of the Reduction in the Interest Rate Due to COVID-19 on the Transaction Prices and the Rental Prices of the House
The Effect of the Reduction in the Interest Rate Due to COVID-19 on the Transaction Prices and the Rental Prices of the House
LEE, Sang-Ho (Department of Finance and Insurance, Mokpo National University)
Abstract
Purpose: This study uses 'Autoregressive Integrated Moving Average Model' to predict the impact of a sharp drop in the base rate due to COVID-19 at the present time when government policies for stabilizing house prices are in progress. The purpose of this study is to predict implications for the direction of the government's house policy by predicting changes in house transaction prices and house rental prices after a sharp cut in the base rate. Research design, data, and methodology: The ARIMA intervention model can build a model without additional information with just one time series. Therefore, it is a time-series analysis method frequently used for short-term prediction. After the subprime mortgage, which had shocked since the global financial crisis in April 2007, the bank's interest rate in 2020 is set at a time point close to zero at 0.75%. After that, the model was estimated using the interest rate fluctuations for the Bank of Korea base interest rate, the house transaction price index, and the house rental price index as event variables. Results: In predicting the change in house transaction price due to interest rate intervention, the house transaction price index due to the fall in interest rates was predicted to change after 3 months. As a result, it was 102.47 in April 2020, 102.87 in May 2020, and 103.21 in June 2020. It was expected to rise in the short term. In forecasting the change in house rental price due to interest rate intervention, the house rental price index due to the drop in interest rate was predicted to change after 3 months. As a result, it was 97.76 in April 2020, 97.85 in May 2020, and 97.97 in June 2020. It was expected to rise in the short term. Conclusions: If low interest rates continue to stimulate the contracted economy caused by COVID-19, it seems that there is ample room for house transaction and rental prices to rise amid low growth. Therefore, In order to stabilize the house price due to the low interest rate situation, it is considered that additional measures are needed to suppress speculative demand.
- keywords
- COVID-19, ARIMA, Bank of Korea Base Interest Rate, House Transaction Prices Index, House Rental Prices Index
참고문헌
Bajari, P., Chan, P., Krueger, D., & Miller. D. (2013). A Dynamic Model of Housing Demand: Estimation and Policy Implications. International Economic Review, 54(2), 409-442. DOI: iere.12001
Benjamin, J., Chinloy, P., & Jud, D. (2004). Real Estate versus Financial Wealth in Consumption. Journal of Real Estate Finance and Economics, 29(3), 341-351.
Box, G. E. P., & Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70, 70-79. http://dx.doi.org/10.1080/01621459.1975.10480264
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1994). Time series analysis: forecasting and control (3rd ed.). Englewood Cliff, New Jersey: Prentice Hall
Choi, C. S. (2015). Relationship Between Housing Prices and Expected Housing Prices in the Real Estate Industry. Journal of Distribution Science, 13(11), 39-46. https://doi.org/10.15722/jds.13.11.201511.39
Choi, I. S., & Lee, S. Y. (2012). A study on the Regulatory Environment of the French Distribution Industry and the Intermarche's Management strategies. Journal of Industrial Distribution & Business, 3(1), 7-16.
Glass, G. V. (1972). Estimating the effects of Intervention into a Nonstationary Time Series. American Educational Research Journal, 9(3), 463-477.
Gul, S., & Cho, H. R. (2019). Capital Structure and Default Risk: Evidence from Korean Stock Market. Journal of Asian Finance, Economics and Business, 6(2), 15-24.
Jeong, D. B. (2005). A Study on Applications for Short-Term Demand Forecasting Using Intervention Model. Management Education Research, 40, 343-351.
Jian, G. (2012). An Empirical Analysis on Urban Consumption Structure in Shandong Province, China. East Asian Journal of Business Management, 2(2), 23-26.
Jung, J. H., & Park, S. U. (2018). Volatility of Housing Prices by Housing Type: The Effect of Monetary Policy and Housing policy. Journal of the Korean Institute of Architecture, 20(4), 1-10.
Kim, J. G. (2013). An Empirical Analysis on the Relationship between Stock Price, Interest Rate, Price Index and Housing Price using VAR Model. Journal of Distribution Science, 11(10), 63-72.
Kim, W. S. (2019). The Dynamic Interrelationship Between the Purchase Price and the rental Price by Housing Type in the Housing Market in Seoul. SH Urban Research & Insight, 9(3), 17-34.
Leamer, E. (2007). Housing is the Business Cycle (NBER Working Paper No. 13428). Retrieved May 22, 2020, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1016340
Lee, K. Y., & Kim, N. K. (2016). Interest Rates and Housing Prices. Economics Research, 64(4), 45-82.
Lee, Y. S. (2019). Monetary Policy and Housing Market: Bayesian VAR Analysis using Sign Restrictions. Housing Studies Review, 27(1), 113-136.
McLeod, G. (1983). Box-Jenkins in Practice. London, UK: G .Jenkins & Partners Ltd
Min, J. A., & Jeon, S. K. (2016). Study on Difference in Perception of Shared Economy and Public Domain Works. Journal of the Korea Contents Association, 16(7), 532-540.
Nguyen, C. T., Bui, C. M., & Pham, T. D. (2019). Corporate Capital Structure Adjustments: Evidence from Vietnam Stock Exchange Market. Journal of Asian Finance, Economics and Business, 6(3), 41-53. DOI : https://doi.org/10.13106/jafeb.2020.vol7.no5.001
Park, H. K., & Jeong, D. B. (2018). A Study on Determinants of Asset Price: Focused on USA. International Journal of Industrial Distribution & Business, 9(5), 63-72. DOI : http://dx.doi.org/10.13106/ijidb.2018.vol9.no5.63.
Rho, S. Y., Yoon, B. H., & Choi, Y. M. (2014). A Study on the Financial Strength of Households on House Investment Demand. Journal of Distribution Science, 12(4), 31-39.
Suh, S. S., Park, J. W., Song, G. S., & Cho, S. G. (2014). A Study of Air Freight Forecasting Using the ARIMA Model. Journal of Distribution Science, 12(2), 59-71.
Vu, V. T. T., Phan, N. T., & Dang, H. N. (2020). Impacts of Ownership Structure on Systemic Risk of Listed Companies in Vietnam. Journal of Asian Finance, Economics and Business, 7(2), 107-117. https://doi.org/10.13106/jafeb.2020.vol7.no2.107
Wang, P., & Kim, J. P. (2014). The Value of Reverse Mortgage Loans: Case Study of the Chinese Market. Journal of Asian Finance, Economics and Business, 1(4), 5-13. DOI : https://doi.org/10.13106/jafeb.2014.vol1.no4.5.
Woo, K., & Lee, S. S. (2015). Time Series Modeling for Forecasting Land Price Change Rate: Focusing on the Intervention ARIMA Model. The Korean Real Estate Association, 60, 142-154
Youk, T. M., & Lee, S. M. (2018), Intervention Analysis of Apartment Trading Volume in Seoul Korea. Real Estate Analysis, 4(1), 85-93. DOI: 10.30902/jrea.2018.4.1.85
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