Matching Items (2)
Description
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.
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.
ContributorsCao, Xuan (Author) / Pei, Ker-Wei (Thesis advisor) / Li, Feng (Thesis advisor) / Qian, Jun (Committee member) / Arizona State University (Publisher)
Created2017
Description
Private placement is an important financing tool for listed companies in China, and the lock-up arrangement is its supporting system. The Efficient Market Hypothesis suggests that, if investor expectations are unbiased, there will be no abnormal fluctuations in the stock prices of listed companies before and after the unlocking day. However, around the time of the unlocking of private placement shares, the stock prices generally show a V-shaped pattern.
Through the empirical analysis of the Chinese A-share stocks from May 8th,2006 to December 31st, 2016, I found that from the 40th day before the unlocking day to the 90th day after, the stock price showed an evident first-downward-then upward trend. The lowest price appeared near the unlocking day. Meanwhile, the greater stocks fall before the unlocking day, the greater prices rise after that. The characteristics of the distinctive difference between the stock prices before and after the unlocking day can provide investment opportunities.
By reviewing research on investor behavior, this paper suggests that the V-shaped pattern can be explained by the influence of investors’ psychological factors on their trading behavior. The general performance of the stocks before the unlocking day is negative due to the increasing uncertainty perceived by investors. After the unlocking day, the uncertainty gradually disappears and the stock rebounds. In addition, I found that stock returns during the lock-up period, shareholder background, and the length of lock-up period also had significant impacts on the V-shaped price trend.
Through the empirical analysis of the Chinese A-share stocks from May 8th,2006 to December 31st, 2016, I found that from the 40th day before the unlocking day to the 90th day after, the stock price showed an evident first-downward-then upward trend. The lowest price appeared near the unlocking day. Meanwhile, the greater stocks fall before the unlocking day, the greater prices rise after that. The characteristics of the distinctive difference between the stock prices before and after the unlocking day can provide investment opportunities.
By reviewing research on investor behavior, this paper suggests that the V-shaped pattern can be explained by the influence of investors’ psychological factors on their trading behavior. The general performance of the stocks before the unlocking day is negative due to the increasing uncertainty perceived by investors. After the unlocking day, the uncertainty gradually disappears and the stock rebounds. In addition, I found that stock returns during the lock-up period, shareholder background, and the length of lock-up period also had significant impacts on the V-shaped price trend.
ContributorsZhang, Hongwei (Author) / Zhu, Hongquan (Thesis advisor) / Yan, Hong (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018