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Essays on Portfolio Management and A...
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Wang, Guojun.
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Essays on Portfolio Management and Asset Pricing.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Essays on Portfolio Management and Asset Pricing./
作者:
Wang, Guojun.
面頁冊數:
157 p.
附註:
Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.
Contained By:
Dissertation Abstracts International76-04A(E).
標題:
Economics, Finance. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3646411
ISBN:
9781321364200
Essays on Portfolio Management and Asset Pricing.
Wang, Guojun.
Essays on Portfolio Management and Asset Pricing.
- 157 p.
Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.
Thesis (Ph.D.)--University of California, Davis, 2014.
This item must not be sold to any third party vendors.
This dissertation studies three different topics in empirical finance, specifically, portfolio management, short selling constraints and stock price informational efficiency, and one of the puzzling calendar anomalies: turn-of-the-month effect.
ISBN: 9781321364200Subjects--Topical Terms:
626650
Economics, Finance.
Essays on Portfolio Management and Asset Pricing.
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Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.
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Advisers: Brad M. Barber; Martine Quinzii.
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Thesis (Ph.D.)--University of California, Davis, 2014.
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This item must not be sold to any third party vendors.
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This dissertation studies three different topics in empirical finance, specifically, portfolio management, short selling constraints and stock price informational efficiency, and one of the puzzling calendar anomalies: turn-of-the-month effect.
520
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The first chapter studies whether educational endowments earn superior returns. This is an interesting question, given the strong returns earned by some legendary endowments (e.g., Yale under the management of David Swensen), which has led to the widespread adoption of the so-called endowment model of investing. Using NACUBO/Commonfund data from 1991 to 2011, Brad M. Barber (UC Davis) and I analyze the returns earned by US educational endowments using simple style attribution models pioneered by Sharpe (1992). We document that for the average endowment, models with only public stock and bond benchmarks explain virtually all the time-series variation in returns, yield no alpha, and generate sensible factor loadings. Elite institutions perform better than public stock and bond benchmarks because of large allocations to alternative investments. We found no evidence that manager selection, market timing, and tactical asset allocation generate alpha.
520
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The second chapter uses the event of short selling ban removal in China in March, 2010 to study the relation between short selling and stock returns. First, I document that an increase in short interest predicts negative future returns, indicating that short sellers are informed about future stock returns. The long-short portfolio that buys stocks with no increase in short interest and shorts stocks with an increase in short interest earns a daily return of 0.085% (t=3.97). Second, consistent with the prediction of the Diamond and Verrecchia (1987) model, I find that the reduced short sale constraint leads to smaller price adjustments in response to earnings surprises. Specifically, I document that the price reaction to earnings announcements during the period that allows short selling is 67% lower than the price reaction during the period in which short selling is banned. In combination, these results indicate that short sellers play an important role in setting prices in financial markets.
520
$a
In the last chapter, Nathan George (UC Berkeley), Ethan Namvar (UC Berkeley), and I study the turn-of-the-month effect (TOM)---stocks have significantly higher returns during the period spanning from the last trading day of the previous month to the third trading day of the current month than during other trading days. Specifically, using the 13F institutional ownership data over the last three decades, we study the cross-sectional difference of the TOM effect across stocks held by different investors. First, we confirm the existence of the TOM effect in the stock market across stocks with different institutional ownership. Second, we document two patterns: (1) For stocks mainly held by individuals, the stock return out-performance during the TOM period mainly comes from the last trading day of the previous month; and (2) For stocks mainly held by institutions, the TOM effect in raw returns is evenly distributed across each day in that period, and that effect is completely explained by their exposures to the market. Furthermore, for stocks with high institutional ownership, the three days leading up to the last trading day of a month exhibit a significantly positive abnormal return compared to those of the other days. We propose that the difference in the trading behaviors of individuals and institutions may explain this dispersion.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3646411
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