scispace - formally typeset
D

Dijun Tan

Researcher at University of Electronic Science and Technology of China

Publications -  5
Citations -  36

Dijun Tan is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Stock exchange & Dark liquidity. The author has an hindex of 3, co-authored 5 publications receiving 34 citations.

Papers
More filters
Journal ArticleDOI

Informed Trading and Liquidity in the Shanghai Stock Exchange

TL;DR: In this article, the authors investigated the issue of informed trading and its relation to liquidity in Shanghai Stock Exchange and found that there is an increased presence of informed traders in both liquid and illiquid stocks when markets are active.
Journal ArticleDOI

Informed trading and liquidity in the Shanghai Stock Exchange

TL;DR: In this article, the authors investigated the issue of informed trading and its relation to liquidity in Shanghai Stock Exchange and found that there is an increased presence of informed traders in both liquid and illiquid stocks when markets are active.
Journal ArticleDOI

Information Content of Order Flow and Cross-Market Portfolio Rebalancing: Evidence for the Chinese Stock, Treasury and Corporate Bond Markets

TL;DR: The authors examined the information content of order flow for stocks, corporate bonds and Treasury bonds in China and found negative cross-asset effects on returns, both between stocks and bonds and between corporate and Treasury bond.
Posted Content

Nonlinear ACD model and informed trading: evidence from Shanghai stock exchange

TL;DR: In this paper, the authors fit a nonlinear log-ACD model to stocks listed on Shanghai Stock Exchange and found that when trading volume is high, empirical findings suggest presence of informed trading in both liquid and illiquid stocks.
Posted Content

Information Content of Order Flow and Cross-market Portfolio Rebalancing: Evidence for the Chinese Stock, Treasury and Corporate Bond Markets

TL;DR: In this article, the authors examined the within-market and cross-market information content of order flow for stocks, corporate bonds and Treasury bonds in China and found negative cross-asset effects on returns.