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论文作者:www.51lunwen.org论文属性:作业 Assignment登出时间:2013-08-10编辑:yangcheng点击率:2218
论文字数:3152论文编号:org201308101204149804语种:英语 English地区:中国价格:免费论文
摘要:本文以限售股解禁前后的一段时间内,不存在其它影响股票价格的因素存在,在统计结果的基础上,构建合理的回归模型,对个股收益率与首发限售股解禁比例之间的关系进行研究。
假设条件
Assumptions
限售股解禁前后的一段时间内,不存在其它影响股票价格的因素存在,例如,上市公司本身经营运作的改变、政府政策的发布等。股票价格的波动仅仅取决于投资者行为,投资者的买卖行为改变了股票市场的供求状况.
(A) restricted shares lifted after a period of time, there are no other factors that affect stock prices exist, for example, the operations of listed companies themselves change, government policy dissemination. Stock price volatility depends only on investor behavior, behavior change investors' trading in the stock market, supply and demand conditions, and then change the price of the stock, that is, we assume that the stock price on the market game equilibrium between investors, Other factors are treated as noise.
假设在股票市场上的交易方只有流通股股东和限售股股东,并且两方都是经济理性的,即双方参与股票投资的目的都只是为了获取经济利益。
(2) Assuming the stock market counterparties only tradable shares and restricted shares, and the two parties are economic rationality, that the purpose of investing in stocks both sides just to obtain economic benefits.
股票价格遵循随机游走。在未来的一段时间内,股价上涨或下跌的概率、幅度相同。
(3) stock prices follow a random walk. In the next period of time, the share price up or down the probability of the same magnitude.(A) Selection of variables
变量的选择
A dependent variable
In order for the first restricted shares on the stock yields quantitative analysis of the impact, we counted each time point of restricted shares lifted stocks before 30 days, 7 days, as well as a trading post facto ban 30 days, 7 days, 1-day Quote change. To eliminate systemic effects, more prominent restricted shares lifted the single event effects, the use of stocks in the stock prices go drop this period minus the stocks of the industry as a whole during the same period rose decreases resulting average excess return As the object of study.
EV - stock excess returns, that is, multiple linear regression model the dependent variable. 30 trading days before the lifting of the ban point in time, seven days, a trading and de facto ban after 30 days, 7 days, 1-day average excess return are expressed as: EVBM, EVBW, EVBD, EVAM, EVAW, EVAD.