NASDAQ避險型個股買賣單不對稱關係及交易策略研究

Order Imbalance Relation and Trading Strategies in NASDAQ Hedging Stocks

邱堅彰(Chien-Chang Chiu)

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(2007年)

https://doi.org/10.6342/NTU.2007.10244

摘要

無資料

關鍵字

價量關係 ； 買賣單不對稱 ； 資訊不對稱

並列摘要

In general, investors trade for two reasons: to hedge and share risk and to speculate on the private information. Previous research suggests that the dynamic relation between volume and returns lies in the underlying motivations. For aggressive investors, their hedging actions (i.e. rotation) tend to result in abrupt price soaring and subsequent reversal in a short period of time. In this paper, by introducing specific selection criteria, we try to screen the potential targets and develop the trading strategy.

The results indicate that for samples with maximum loss below 5%, the results reveal a paradox of high upside and low downside. Top three sectors account for more than half of the samples, which implies that hedge initiators seem to prefer specific sectors when screening potential rotation targets. In addition, the practice of “clearing the floats” plays a key role in analyzing the waiting period. It is found that most price jumps are likely to accompany volume augmentation, and most samples show price reversal on the jump day.

Lastly, with GARCH(1,1) model, we verify the fitness of GARCH model in capturing the time variant property of returns and the relationship between order imbalance and returns. The results reveal that order imbalance indeed presents positively significant influence on returns of most samples. However, the relationship between order imbalance coefficients and market cap fails to present significance, which implies that size effect may not exist.

並列關鍵字

price-volume relation ； order imbalance ； information asymmetry

參考文獻

1.Admati, A. and P. Pfleiderer, 1988, “A Theory of Intraday Patterns: Volume and Price Variability,” Review of Financial Studies, 1, 3-40.

2.Barclay, M. and J. Warner, 1993, “Stealth Trading and Volatility,” Journal of Financial Economics, 34, 281-305.

3.Barclay, M. J., T. Hendershott and D. T. Mccormick, 2003, “Competition Among Trading Venues: Information and Trading on Electronic

4.Bollerslev, T., 1986, “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, 31, 307-327.

5.Booth, G. G., J. C. Lin, T. Martikainen, and Y. Tse, 2002, “Trading and Pricing in Upstairs and Downstairs Stock Markets,” Review of Financial Studies, 15, 1111-1135.