Competitive Trading and Endogenous Learning of Asymmetrically Informed Investors

46 Pages Posted: 25 Jan 2014 Last revised: 13 Feb 2014

See all articles by Yu Liu

Yu Liu

Tsinghua University

Hao Wang

Tsinghua University

Lihong Zhang

Tsinghua University - School of Economics & Management

Date Written: February 13, 2014

Abstract

Information asymmetry between privately informed investors, interacting with public information transparency, significantly affects trading and learning behaviors, price formation, information revelation, and market efficiency. Private information asymmetry-induced strategic trading behaviors explain the asymmetric U-shape patterns of intraday stock trading volume, return, and volatility. Market depth tends to rise (fall) at market opening (closure) with private information asymmetry increasing. A non-zero degree of private information asymmetry leads to minimal informational trading profit and maximal market efficiency. Disclosure policy should consider its effects on both private information asymmetry and public information transparency in optimizing efficiency and investor protection.

Keywords: private information asymmetry, strategic trading, endogenous learning, market micro-structure, information disclosure

JEL Classification: G14, G18

Suggested Citation

Liu, Yu and Wang, Hao and Zhang, Lihong, Competitive Trading and Endogenous Learning of Asymmetrically Informed Investors (February 13, 2014). Available at SSRN: https://ssrn.com/abstract=2383340 or http://dx.doi.org/10.2139/ssrn.2383340

Yu Liu

Tsinghua University ( email )

Beijing, 100084
China
86 15210589482 (Phone)

Hao Wang (Contact Author)

Tsinghua University ( email )

318 Weilun Building
Tsinghua University
Beijing, 100084
China
86 10 62797482 (Phone)
86 10 62794554 (Fax)

Lihong Zhang

Tsinghua University - School of Economics & Management ( email )

Beijing, 100084
China

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
133
Abstract Views
798
Rank
391,131
PlumX Metrics