abstract: This paper quantitatively analyses the relation between the return of private
seasoned equity offerings and variables of market and firm characteristics in China Ashare
market. A multiple-factor linear regression model is constructed to estimate this
relation and the result canhelp investors to determine the future return of private
placement stocks.
In this paper, I first review past theories about private placement stocks, including how
the large shareholder participation, the discount of private offerings, the firm
characteristics, and the investment on firm value will affect the return of private
offerings.
According to the past literature, I propose four main factors that may affect the
return of private placement. They are the large shareholders participation in private
placement; the discount that private placement could offer; the characteristics of the
companies that offer a private placement and the intrinsic value of such companies. I
adopt statistic and correlational analysis to test the impact of each factor. Then,
according to this single-factor analysis, I set up a multiple-factor linear regression model
on private seasoned equity offerings return in Chapter Four.
In the last two chapters, I apply this quantitative model to other fields. I use this
model to testify current financial products of private placement and develop investmen
strategies on stocks with private seasoned equity offerings in secondary market. My
quantitative strategy is useful according to the result of setback test. / Dissertation/Thesis / Doctoral Dissertation Business Administration 2017
| Identifer | oai:union.ndltd.org:asu.edu/item:44094 |
| Date | January 2017 |
| Contributors | Cao, Xuan (Author), Pei, Ker-Wei (Advisor), Li, Feng (Advisor), Qian, Jun (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 71 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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