This dissertation studies return seasonalities in the cross section and highlights the link between investor psychology and
cross-sectional seasonalities. We document four main categories of return seasonalities in the stock market where predictable return
persistence or reversal occurs across different calendar months, weekdays, holidays and firms' earnings announcement days. First, relative
performance across stocks during months with high (low) market returns tends to persist during months when aggregate returns are predicted
to be high (low), but reverse during months when aggregate returns are predicted to be low (high). Second, relative performance across
stocks on weekdays with high (low) market returns tends to persist on weekdays when aggregate returns are predicted to be high (low), but
reverse on weekdays when aggregate returns are predicted to be low (high). These two types of seasonalities are robust to placebo tests
and don't diminish when controlling for risk and characteristics. Using such months or weekdays, we construct a mood beta with strong
predictive power for monthly or daily returns. Third, we document a strong pre-holiday seasonality where stocks with above-average return
during the two to three days immediately preceding or on a holiday tend to earn above-average return during the same pre-holiday window
for at least 10 years. This pre-holiday seasonality is long-lasting, cannot be explained by a host of firm attributes, is present in
foreign equity markets and only among firms with a retail clientele, and tends to reverse in the immediate, post-holiday period. A
long-short strategy based on pre-holiday seasonality earns abnormal returns with high Sharpe ratios. Last, we document a strong
seasonality during firms' earnings announcement days. We show that a firm's cumulative abnormal return (CAR) in a given fiscal quarter in
a given fiscal year exhibits strong persistent patterns at fiscal annual intervals, while SUE doesn't. Such persistence exists regardless
of the content of SUE. We also show a strong persistence of firm's earnings response (ER) at fiscal annual intervals. Collectively, we
document a broad set of strong and puzzling return seasonalities in the cross section that cannot be explained by risk or characteristics.
A model is provided to support our hypothesis that investors' mood, attention and expectation swings are important sources of such
seasonalities in the cross section. / A Dissertation submitted to the Department of Finance in partial fulfillment of the Doctor of
Philosophy. / Spring Semester 2016. / April 8, 2016. / investor psychology, Return seasonalities / Includes bibliographical references. / Danling Jiang, Professor Directing Dissertation; Bruce Billings, University Representative; David
Peterson, Committee Member; Donald Autore, Committee Member; Rick Morton, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_360342 |
| Contributors | DiGiovanni, Yuting Meng (authoraut), Jiang, Danling (professor directing dissertation), Billings, Bruce K. (university representative), Peterson, David R. (David Robert) (committee member), Autore, Donald M. (committee member), Morton, Richard M. (committee member), Florida State University (degree granting institution), College of Business (degree granting college), Department of Finance (degree granting department) |
| Publisher | Florida State University, Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource (95 pages), computer, application/pdf |
| Rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. |
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