由於近年來店頭市場的發展迅速，規模不斷擴大，資金大量流入，重要性大為增加，加上資訊科技的進步，使資金在各市場間甚至是國際間的流動非常迅速，因此本研究試圖在高頻(high-frequency)的資料型態下，將價量因果關係的概念應用在探討集中市場與店頭市場之間的關係。首先是利用一般的Granger檢定討探其線性因果關係，接著利用Baek and Brock(1992)的非線性檢定模型檢定其是否存在著非線性因果關係。 研究結果顯示，在高頻的資料型態下，台灣股票市場的集中市場與店頭市場其各別市場的價量之間存在有雙向的線性因果關係，而集中市場與店頭市場之間亦存在有雙向的線性因果關係。當然最重要的在非線性因果關係方面，集中市場與店頭市場其各別市場的價量之間，以及集中市場與店頭市場兩市場之間亦存在有雙向的非線性因果關係。

In this study, linear and nonlinear Granger causality tests are used to examine the dynamics, including return to return and volume to volume relationships, between warrants and their underlying stocks in Taiwan Stock Exchange (TSEC). Results of previous studies are mixed and they only focus on linear relationship between the two markets. Here we take nonlinear relationship into consideration to assist in investigating what the direction of information flow is. We use intraday five-minute high frequency data and the result tells that, overall, for both return to return and volume to volume relations, there is bidirectional but asymmetry linear causality and weak unidirectional nonlinear causality from stock to warrant market between these two markets. Combining the linear and nonlinear results we conclude that the direction of information flow is mainly from stock market to warrant market.