The informational role of trading volume has long been a subject in financial market. In stock market and/or derivatives market, for instance, the issue remains whether the market is efficient; meaning that information(s) from the past is delivered sequentially to the following trades, thus reflected in price. The purpose of this study is to attempt to test the relationship between the price index and trading volume in the housing market to see if the empirical findings could show any change in each other. Vector Auto Regressive model is used to analyze the endogenous variables. Empirical evidence presented in this study shows that trading volume a month before causes change in price index. It is inferred that housing volume traded could relay significant information to the trading process of housing asset.
목차
Abstract 1. Introduction 2. Literature Review3 3. The Asset Defined and Methodology 3.1. Real Estate asset and Housing Market in Korea 3.2. The Model 4. Empirical Analysis 4.1. Data and Descriptive Statistics 4.2. VAR 5. Conclusions References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.4