자산가격의 결정요인에 대한 실증분석 : 미국사례를 중심으로

• 영문명: A Study on Determinants of Asset Price : Focused on USA
• 발행기관: 한국유통과학회
• 저자명: 박형규(Hyoung-Kyoo Park) 정동빈(Dong-Bin Jeong)
• 간행물 정보: 『산경연구논집(JIDB)』Volume.9 No.5, 63~72쪽, 전체 10쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2018.05.30

영문 초록

Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology – We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results – The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real

목차

1. 서론

2. 기존의 연구

3. 연구모형

4. 실증분석

5. 결론, 연구의 한계 및 향후 연구방향

키워드

Unit Root Test Cointegration Vector Error Correction Model