NASDAQ新高投機型個股之日內報酬率-買賣單不對稱關係

Intraday Return – Order Imbalance Relation in NASDAQ Speculative New Highs

曾惟苓(Wei-Ling Tseng)

指導教授 ： 蘇永成

國立臺灣大學/管理學院/財務金融學研究所/碩士(2005年)

https://doi.org/10.6342/NTU.2005.02846

摘要

根據以前的研究指出，投資者為什麼交易與根據不同動機而有不同交易型態，可以由量指標觀察出端倪。投機型交易會使報酬產生正的自我相關及股價通常會在高量能支持下而有持續性。因此，本研究選擇股價創52週新高的NASDAQ股票當作投機型個股，這類型股票具有基本面支撐，通常也會有較多資訊不對稱且尚未完全反應在股價上。

本研究以一種量的指標”買賣單不對稱”做為資訊不對稱的代理變數，來研究資訊不對稱對日內股價報酬的影響。先以日內每筆交易的買賣單不對稱當作GARCH(1,1)模型中的解釋變數。另外，因內部資訊者為了避免市場中其他交易者模仿，傾向將較大的交易單拆成好幾筆小單，所以本研究設定三種時間區間，分別為90秒、3分鐘與15分鐘，用時間序列迴歸來檢驗買賣單不對稱與股價報酬之間的關係。實證結果發現無論在任何時間區間下，同期的買賣單不對稱與股票報酬呈正向關係，尤其在90秒與3分鐘區間測試中呈現顯著正向關係。差一期的結果雖然大部分呈現負相關，但是卻不顯著，也就是股價在下一期會稍微拉回但是幅度小，因好消息仍未完全反映在股價上，推論此為資訊不對稱產生的效果。另外，在控制同期的買賣單不對稱後，檢驗是否有預測效果存在，90秒區間測試中觀察到持續性關係，而在3分鐘與15分鐘區間不具有任何關係。

最後，本研究觀察到傳統的資訊不對稱代理變數”公司大小”，對於同期買賣單不對稱對股價報酬的影響是顯著為負，推論小公司含有較多不對稱的資訊，較易產生異常報酬。

關鍵字

價量關係 ； GARCH模型 ； 資訊不對稱 ； 買賣單不對稱

並列摘要

According to previous studies, we can learn from volume depends on why investors trade and how trades with different motives relate to prices. Speculative trades generate positively autocorrelated returns. There is a phenomenon that returns of individual stocks on high-volume days are more sustainable. Therefore, we focus on speculative stocks which reach to 52-week new high records. There might be possibly with more information inside because they have kept good performance in earnings or revenues. Order imbalance is employed as a proxy of information asymmetry in this article. Relation between intraday return and order imbalance is investigated.

Every trade order imbalances is used as our explanatory variable in GARCH (1,1) model. Besides, because informed traders tend to split orders into small size, we also examine relation between order imbalance and return in 90-second, 3-minute, or 15-minute interval time-series regression tests. The major findings are as follows. A contemporaneous significant positive relation exists in all kinds of interval tests, especially for 90-second and 3-minute interval tests. The coefficients of lagged order imbalances are negative but not significant. It can be explained as asymmetric information effect. After controlling contemporaneous order imbalance, it shows continuation in lag-one relations in 90-second interval test. In 3-minute and 15-minute interval tests, the results are mixed.

Finally, the relation of contemporaneous coefficients and market capitalization is significantly negative in all kinds of interval tests. It implies that there is more information asymmetry in smaller firms.

並列關鍵字

Information Asymmetry ； Price-Volume Relation ； Order Imbalance ； GARCH Model

參考文獻

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