IPO投资组合是否改善了投资机会集?证据来自中国a股市场

Haizheng Yang, Chuzhao Wang, Suxiao Li
{"title":"IPO投资组合是否改善了投资机会集?证据来自中国a股市场","authors":"Haizheng Yang, Chuzhao Wang, Suxiao Li","doi":"10.4172/2168-9458.1000106","DOIUrl":null,"url":null,"abstract":"This paper aims to examine whether the mean-variance frontier generated by benchmark portfolios can be expanded by adding all sorts of IPO portfolios, thus the investors can get improvement in investment opportunity sets. To form the benchmark portfolios, firstly, we investigate the factors which capture the cross-sectional variation in average monthly stock returns on Chinese main board A-share market from 1999 to 2010, and the result shows that BE/ME (book-to-market equity) and liquidity have the most significant power to explain the stock returns by using univariate sorting test, univariate and multivariate cross-sectional regressions methods. Then using spanning and step-down procedure, we come to some significant conclusions: in the short run, industrial IPO portfolios of medicine industry can significantly expand the mean-variance frontier; in the long run, industrial IPO portfolios with rag trade, transportation industry, metal industry and all stocks have the ability to improve the investment opportunity sets for mean-variance investors. The outcome has a vital implication for both financial institutions and investors.","PeriodicalId":315937,"journal":{"name":"Journal of Stock & Forex Trading","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Do IPO Portfolios Improve the Investment Opportunity Set? Evidence from Chinese A-share Market\",\"authors\":\"Haizheng Yang, Chuzhao Wang, Suxiao Li\",\"doi\":\"10.4172/2168-9458.1000106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to examine whether the mean-variance frontier generated by benchmark portfolios can be expanded by adding all sorts of IPO portfolios, thus the investors can get improvement in investment opportunity sets. To form the benchmark portfolios, firstly, we investigate the factors which capture the cross-sectional variation in average monthly stock returns on Chinese main board A-share market from 1999 to 2010, and the result shows that BE/ME (book-to-market equity) and liquidity have the most significant power to explain the stock returns by using univariate sorting test, univariate and multivariate cross-sectional regressions methods. Then using spanning and step-down procedure, we come to some significant conclusions: in the short run, industrial IPO portfolios of medicine industry can significantly expand the mean-variance frontier; in the long run, industrial IPO portfolios with rag trade, transportation industry, metal industry and all stocks have the ability to improve the investment opportunity sets for mean-variance investors. The outcome has a vital implication for both financial institutions and investors.\",\"PeriodicalId\":315937,\"journal\":{\"name\":\"Journal of Stock & Forex Trading\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stock & Forex Trading\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2168-9458.1000106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stock & Forex Trading","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2168-9458.1000106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文旨在研究是否可以通过加入各种IPO投资组合来扩大基准投资组合产生的均值方差边界,从而提高投资者的投资机会集。为了构建基准投资组合,本文首先对1999 - 2010年中国主板a股市场月平均股票收益横截面变化的影响因素进行了研究,通过单变量排序检验、单变量和多变量横截面回归分析,结果表明账面市值比(BE/ME)和流动性对股票收益的解释能力最显著。运用跨跃和降阶方法,我们得到了一些有意义的结论:在短期内,医药行业的行业IPO投资组合可以显著扩大均值方差边界;从长期来看,服装业、运输业、金属业和所有股票组成的行业IPO投资组合有能力改善均值方差投资者的投资机会集。这一结果对金融机构和投资者都具有至关重要的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do IPO Portfolios Improve the Investment Opportunity Set? Evidence from Chinese A-share Market
This paper aims to examine whether the mean-variance frontier generated by benchmark portfolios can be expanded by adding all sorts of IPO portfolios, thus the investors can get improvement in investment opportunity sets. To form the benchmark portfolios, firstly, we investigate the factors which capture the cross-sectional variation in average monthly stock returns on Chinese main board A-share market from 1999 to 2010, and the result shows that BE/ME (book-to-market equity) and liquidity have the most significant power to explain the stock returns by using univariate sorting test, univariate and multivariate cross-sectional regressions methods. Then using spanning and step-down procedure, we come to some significant conclusions: in the short run, industrial IPO portfolios of medicine industry can significantly expand the mean-variance frontier; in the long run, industrial IPO portfolios with rag trade, transportation industry, metal industry and all stocks have the ability to improve the investment opportunity sets for mean-variance investors. The outcome has a vital implication for both financial institutions and investors.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信