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http://dx.doi.org/10.5351/KJAS.2004.17.2.239

Dynamic Integration and Causal Relationships between Stock Price Indexes  

김태호 (충북대학교 통계학과)
박지원 (한국개발연구원(KDI))
Publication Information
The Korean Journal of Applied Statistics / v.17, no.2, 2004 , pp. 239-252 More about this Journal
Abstract
It is known that the domestic and the U.S. stock prices tend to move together as those markets are closely interrelated. In this study, cointegration and causal relationships among the four stock price indexes of KOSPI, KOSDAQ, DOWJONES and NASDAQ are carefully investigated for the period of declining stock prices in the long run. When all indexes move in a similar fashion, cointegration does not exist and the causal linkages between the domestic and the U.S. stock prices appear relatively complex. On the other hand, when the domestic and the V.S. stock prices move in a different manner, cointegration exists and the causal relationships appear relatively simple. NASDAQ is apparently found to lead the domestic stock market in both periods, which is consistent with the actual market situation when the If industry is under recession.
Keywords
Cointegration; Vector autoregression; Vector error correction; Causality; Variance decomposition;
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