我國(guó)不同板塊IPO折價(jià)的影響因素及實(shí)證研究
發(fā)布時(shí)間:2018-05-16 15:10
本文選題:IPO折價(jià) + 首日超額收益; 參考:《復(fù)旦大學(xué)》2013年碩士論文
【摘要】:IPO折價(jià)是全世界股票市場(chǎng)普遍存在的一個(gè)現(xiàn)象,但在各國(guó)的折價(jià)程度有所不同,同時(shí),各國(guó)主板市場(chǎng)和創(chuàng)業(yè)板市場(chǎng)的IPO折價(jià)程度也有所不同。本文主要研究的是我國(guó)主板、中小板和創(chuàng)業(yè)板IPO折價(jià)的影響因素。 本文首先梳理并分析了我國(guó)新股發(fā)行體制、發(fā)行方式及定價(jià)方式的改革歷程,然后分別從一級(jí)市場(chǎng)、二級(jí)市場(chǎng)及不同板塊的差異三個(gè)角度來(lái)分析造成IPO折價(jià)的因素。 實(shí)證部分選取了三個(gè)板塊2004年以來(lái)共1248家公司的IPO數(shù)據(jù),對(duì)不同時(shí)期的各板塊首日超額收益率進(jìn)行了統(tǒng)計(jì)描述和分析,并選取了IPO融資規(guī)模、發(fā)行費(fèi)用、主承銷商聲譽(yù)、ROE、ROA、EPS、上市首日換手率、中簽率、市盈率和上市等待期等十個(gè)變量,采用逐步回歸的方法,建立了三個(gè)板塊的多元回歸模型。其中募集費(fèi)用、ROE、換手率、募集金額入選主板模型;EPS、募集費(fèi)用、市盈率和換手率入選中小板模型;上市等待期、中簽率、換手率入選創(chuàng)業(yè)板模型。此后本文分別采用最小二乘法和分位數(shù)法對(duì)三個(gè)模型進(jìn)行了回歸和對(duì)比分析,通過(guò)分位數(shù)回歸發(fā)現(xiàn),各變量在不同分位上對(duì)于首日超額收益率的影響程度并不是確定不變的,而是存在上升或下降的趨勢(shì)。 最后,對(duì)于本文的研究結(jié)果進(jìn)行了總結(jié),并從定價(jià)機(jī)制、詢價(jià)機(jī)構(gòu)范圍、信息披露制度和對(duì)投資者的投資教育等方面提出了一些建議。
[Abstract]:IPO discount is a common phenomenon in the stock market all over the world, but the discount degree is different in different countries. At the same time, the discount degree of IPO in main board market and gem market is also different. In this paper, the main research is the main board, small and medium board and gem IPO discount factors. This paper first combs and analyzes the reform course of the new issue system, issuing method and pricing mode in China, and then analyzes the factors that cause the IPO discount from the three angles of the difference of the primary market, the secondary market and the different plates. The empirical part selects the IPO data of 1248 companies from three plates since 2004, describes and analyzes the first day excess return of each plate in different periods, and selects the scale of IPO financing, the issue cost, and so on. The principal underwriter's reputation is ROEO / OAA EPS.Ten variables, such as turnover ratio, winning ratio, price-earnings ratio and waiting period, are used to establish a multivariate regression model for three plates by using the method of stepwise regression. Among them, the collection fee ROE, the turnover rate, the amount of money is selected into the main board model EPS, the raising fee, the price-earnings ratio and the turnover rate are selected into the small and medium-sized board model; the waiting period for listing, the winning rate and the turnover rate are selected into the gem model. Then we use least square method and quantile method to regression and contrast the three models. Through quantile regression, we find that the influence of each variable on the first day excess rate of return is not fixed in different quantiles. But there is an upward or downward trend. Finally, the research results of this paper are summarized, and some suggestions are put forward from the aspects of pricing mechanism, inquiry organization scope, information disclosure system and investment education for investors.
【學(xué)位授予單位】:復(fù)旦大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F832.51
【參考文獻(xiàn)】
相關(guān)期刊論文 前2條
1 吳鳴;謝金靜;;政府管制影響中國(guó)IPO高折價(jià)的實(shí)證分析[J];統(tǒng)計(jì)與信息論壇;2009年10期
2 黃玉啟;;IPO折價(jià)理論綜述[J];浙江社會(huì)科學(xué);2006年03期
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