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.

Abstract
1. 서론
2. 선행연구
3. 연구방법
    3.1. 개입모형
    3.2. 개입모형 설정
    3.3. 연구가설 설정
4. 실증분석
    4.1. 기술통계분석
    4.2. 기준금리와 주택매매가격 주택전세가격 추이
    4.3. 상관관계분석
    4.4. 금리개입에 따른 주택매매가격 변동 예측
    4.5. 금리개입에 따른 주택전세가격 변동 예측
5. 결론
    5.1. 연구결과
    5.2. 시사점 및 향후 연구 방향
References

• Ju-Hwan KIM(Department of Finance and Insurance, Mokpo National University)
• Sang-Ho LEE(Department of Finance and Insurance, Mokpo National University, Korea,) Corresponding Author