Data for The sensitivity of fees on behavior of investors in open-end funds in China
In this paper we build a recent empirical work to investigate the sensitivity of fees on behavior of investors in open-end funds in China. We build a GMM model to explore the relationship between the behavior of investors and fee of open-end funds and provide a set of data from CSMAR database, which is a Chinese database offering information about listed companies of Shanghai Stock Exchange and Shenzhen Stock Exchange. It includes fund ﬂows, operating expenses, fund returns, return variance, fund size, fund overturn and fund age. Information on repurchase fee and redemption fee are obtained from a website offering fund information(http://fund.eastmoney.com). To ensure the sufficiency and effectiveness of data the paper examined open-end funds in China for the period from 2008 to 2017. This paper uses the data and GMM model to find a different result from others. Investors expressed little interest in
Steps to reproduce
1. table 1 is the original data, and we use the data to regress GMM model. 2.1txt and 2txt are the code indicating the process of data analysis in STATA, it can be opened in txt. 3.1 docx is the model list of the paper. 4.2docx is the graph of TNA and average fund flow. 5.3docx is the graph of the results of the model.