期刊文献+

基于高频数据的IPO首日量价关系研究

Empirical Analysis of the Volume—Price Relation Using High-Frequency Data on First Day of IPO Listing
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摘要 本文基于高频数据对IPO首日的量价关系进行了实证研究,采用了分组研究以及回归分析的方法。研究发现,IPO首日的价格变化(绝对值)以及价格变化都与归一化交易量有着正相关关系,且价格变化(绝对值)更加敏感。同时,本文还对时刻、板块、流通市值以及中签率与IPO首日的价格变化(绝对值)及价格变化的影响进行了研究,并给出了相应的解释。 We use high-frequency data to study the volume-price relation of first day of IPO listing.We use group analysis and regression method in this paper.We find out that,both the price change(absolute value) and price change have position relationship with volume,and the price change(absolute value) is more sensitive.Meanwhile,we also study the effect of time,sector,market value,winning-lot rate to price change(absolute value) and price change;we give explanation to these effects.
出处 《数理统计与管理》 CSSCI 北大核心 2016年第2期350-359,共10页 Journal of Applied Statistics and Management
基金 国家自然科学基金资助项目(71371023,71171146)
关键词 首次公开发行 高频数据 量价关系 initial public offering(IPO) high-frequency data price-volume relation
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