Examining Investors Trading Performance Through Brokers Network
Hongwei Chuang
No 34, DSSR Discussion Papers from Graduate School of Economics and Management, Tohoku University
Abstract:
Institutional investors play an important role in determining the stock returns. However, not so many research conduct the empirical research to investigate their behaviors because of the lankness of dataset. This paper, by using the unique dataset which contains all daily buy and sell information in each broker, I explore the applications of multivariate vector autoregression (MVAR) models in constructing the financial networks of stock market. In the spirit of Granger causality, the proposed methodology provides a direct way with statistical significance and economic meaning to describe the mutual interconnectedness of brokers. A financial network I analyzed illustrates as the structure properties for the underlying interactions among institutional investors.
Pages: 20 pages
Date: 2015-02
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10097/65010
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:toh:dssraa:34
Access Statistics for this paper
More papers in DSSR Discussion Papers from Graduate School of Economics and Management, Tohoku University Contact information at EDIRC.
Bibliographic data for series maintained by Tohoku University Library ().