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Three essays in insider trading.

University of Michigan.

Three essays in insider trading.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Three essays in insider trading.
作者:	Wang, Xuewu.
面頁冊數:	139 p.
附註:	Adviser: Hasan Nejat Seyhun.
附註:	Source: Dissertation Abstracts International, Volume: 69-09, Section: A, page: 3680.
Contained By:	Dissertation Abstracts International69-09A.
標題:	Economics, Finance.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3328988
ISBN:	9780549816812

Three essays in insider trading.
Wang, Xuewu.

Three essays in insider trading. - 139 p.

Adviser: Hasan Nejat Seyhun.

Thesis (Ph.D.)--University of Michigan, 2008.

Chapter 1 of this dissertation tests the prediction of standard option pricing models that there is no relation between past stock returns and stock option prices. Using the individual stock options data, we show that puts are significantly overvalued relative to calls after large stock price increases and calls are significantly overvalued relative to puts after large stock price decreases. This is exactly opposite to what we have observed in index options. We argue that it is the autocorrelation structure of the individual stock returns that drives this valuation effect, which has been shown to be both economically and statistically significant. Overall, our results suggest that past stock returns exert an important influence on individual stock option prices.

ISBN: 9780549816812Subjects--Topical Terms:

212585
Economics, Finance.

Three essays in insider trading.
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502 $a Thesis (Ph.D.)--University of Michigan, 2008.
520 $a Chapter 1 of this dissertation tests the prediction of standard option pricing models that there is no relation between past stock returns and stock option prices. Using the individual stock options data, we show that puts are significantly overvalued relative to calls after large stock price increases and calls are significantly overvalued relative to puts after large stock price decreases. This is exactly opposite to what we have observed in index options. We argue that it is the autocorrelation structure of the individual stock returns that drives this valuation effect, which has been shown to be both economically and statistically significant. Overall, our results suggest that past stock returns exert an important influence on individual stock option prices.
520 $a Chapter 2 of this dissertation investigates trading volume and profitability of insider trades around scheduled versus unscheduled corporate announcements to explore how corporate insiders make use of their private information when there is dispersion in the amount of liquidity trading. I show that corporate insiders trade more heavily before unscheduled corporate announcements as compared to scheduled announcements. Also insider trades before unscheduled announcements are much more profitable than those before scheduled announcements. This evidence clearly suggests that corporate insiders time their trades around material corporate information events based on the amount of liquidity trading available to camouflage their trades. I also relate this finding to private information and test whether PIN captures information asymmetry around such events. I find that PIN is much higher before unscheduled announcements than before scheduled ones.
520 $a Chapter 3 examines option trading prior to significant information events. Using a broad sample of merger announcements, I find that there is abnormal option trading prior to such announcements after controlling for merger characteristics. This abnormal option trading is mainly concentrated in short-term and at-the-money options. Trading volume in these options leads stock market order imbalances and strongly contributes to the pre-takeover stock price runup. Implied volatility spread calculated from these options is strongly positively associated with the abnormal option volume. Finally, I also investigate whether option trading volume can be used to predict takeover targets. I find strong predictive power of option volume for takeover targets.
520 $a This dissertation investigates insider trading from two perspectives: insider trading in the options market and insider trading around significant corporate information events.
590 $a School code: 0127.
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