Information advantage in a global economy : geography, social networks and hedge fund returns

Placeholder Show Content

Abstract/Contents

Abstract
Recent research finds that information advantage--access to accurate, timely and relevant information--is a key resource in the knowledge economy. Despite this, academics have reached no consensus on the sources of information advantage, proposing various mechanisms ranging from the local (e.g. agglomeration, local social networks) to the global (e.g. fields, pipelines, world cities). Academics have only begun to examine when each of these mechanisms are relevant, which is just as important as how they function. This dissertation addresses this gap, investigating how different mechanisms generate different types of information advantage, and when each is relevant. Although this theory should apply across many different knowledge industries, the dissertation focuses on a manageable empirical scope: the hedge fund industry. This empirical focus matches the theoretical framework, as there are few propositions so universally agreed upon and so little studied as "information flows drive global financial markets". Hedge funds are interesting for both theoretical and substantive reasons. Not only are they extremely sensitive to information advantage, but they also drive a large proportion of securities trading volume worldwide, and relate to systemic financial risks. This dissertation analyzes data from the BarclaysHedge database and the Directory of Corporate Affiliations using hierarchical linear models. The results suggest that specific geographic areas, field-level networks and a "global social capital network" provide different types of information advantage, which are relevant to different types of hedge funds. Overall, this dissertation identifies the hedge funds having information-based competitive advantages, and explains where these advantages come from. These finding not only have theoretical implications, but substantive ones as well.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Choi, Joon Nak
Associated with Stanford University, Department of Sociology.
Primary advisor Granovetter, Mark S
Primary advisor Shin, Gi-Wook
Thesis advisor Granovetter, Mark S
Thesis advisor Shin, Gi-Wook
Thesis advisor Powell, Walter W
Advisor Powell, Walter W

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Joon Nak Choi.
Note Submitted to the Department of Sociology.
Thesis Ph. D. Stanford University 2010
Location electronic resource

Access conditions

Copyright
© 2010 by Joon Nak Choi

Also listed in

Loading usage metrics...