Correlated Trading and Location
By Lei Feng, Mark S. Seasholes. 2004
338 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/47bc884f205ac12d9de771b43820b18f88e5dff8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
In Economics and Econometrics
- Daniel Hoechle
- Baolian Wang
- Cary Frydman
- Timothy J. Vogelsang
- Miles Parker
- Amal Dabbous
- J. Schor
- Kyle W. Knight
In Finance
Citations in the corpus
- Information linkages and correlated trading (2007, neutral): “For example, Feng and Seasholes (2004) report that in the Chinese stock market, geographically close investors trade similarly and distant investors submit negatively correlated orders.”
- Retail Investor Sentiment and Return Comovements (2006, neutral): “Using a Chinese dataset, Feng and Seasholes (2004) find that the trading activities of investors that live within a certain geographic region are strongly correlated.”
- Predicting the Spread of Financial Innovations: An Epidemiological Approach (2013, neutral): “Feng and Seasholes (2004), and Hong, Kubik, and Stein (2005) document the role that geography plays in influencing the portfolios that individual and institutional investors hold.”
- The Impact of Salience on Investor Behavior: Evidence from a Natural Experiment (2019, methodology): “Chinese investors typically open an account close to where they live (Feng and Seasholes 2004), but if they are traveling to a different city and want to place an order, they can do so through the phone or the internet.”
- Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence (2007, background): “see Trueman (1994), Welch (2000), Feng and Seasholes (2004), and the survey article by Hirshleifer and Teoh (2003). 2.”
- Keynes Meets Markowitz: The Tradeoff Between Familiarity and Diversification (2009, neutral): “…Grinblatt and Keloharju (2001) and Massa and Simonov (2006) find this bias to be present among Finnish and Swedish investors, respectively; and, Feng and Seasholes (2004) find that not only do Chinese investors overweight local companies but also companies that are traded on a local exchange.”