风险投资对IPO估值泡沫及后续经营业绩的影响研究
[Abstract]:Venture capital institution, as an important investor in Chinese stock market, deeply participates in the operation of IPO. Its effects on firms mainly include certification effect, name-by-name effect and adverse selection effect. The authentication theory holds that venture capital has the function of third party certification, which can alleviate the problem of information asymmetry in the process of enterprise IPO and supervise the development of enterprise, which is helpful to restrain the stock market bubble. Case by case theory suggests that venture capital firms are eager to send their own capacity signals to the market through performance and to build industry word-of-mouth, and that their IPO valuation bubble will be even worse. The adverse selection effect thinks that only the inferior enterprises will let the venture capital institutions buy shares in order to achieve their financing purposes. After listing, such enterprises may have to withdraw from the market because of their poor operating performance and market performance. In order to verify the different effects of venture capital, this paper selects 862 listed enterprises from 2009-2012 as a sample, including enterprises supported by venture capital institutions and enterprises without venture capital support, using difference test, regression analysis and so on. To study the differences of the IPO valuation bubble (the deviation of the IPO price to the intrinsic value of the new stock, in which the intrinsic value of the new stock is measured by the residual income model). And the impact of venture capital support on the enterprise follow-up performance (ROE,ROA) is different. The results show that the IPO valuation bubble of VC-backed enterprises is more severe than that of VC-backed enterprises, and the subsequent operating performance of VC-backed enterprises is worse, which proves that venture capital contributes to the IPO valuation bubble. And will reduce the long-term performance of the enterprise.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F832.51
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