Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision
David Goldbaum and
Bruce Mizrach
No 295, Computing in Economics and Finance 2005 from Society for Computational Economics
Abstract:
We estimate the intensity of choice parameter in heterogenous agent models in both a static and dynamic setting. Mean-variance optimizing agents choose among mutual funds of similar styles but varying performance. Actively managed funds have a lower Sharpe ratio than passive index funds, yet they attract a majority share of asset allocation. By estimating the relative growth of passive funds, we obtain a dynamic estimate of the intensity of choice calibrated to 10 years of mutual fund flows
Keywords: heterogenous agents; intensity of choice, mutual funds (search for similar items in EconPapers)
JEL-codes: G11 (search for similar items in EconPapers)
Date: 2005-11-11
New Economics Papers: this item is included in nep-fin
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://snde.rutgers.edu/scripts/Rutgers/wp/rutgers-listwp.exe?200414 main text (text/html)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://snde.rutgers.edu/scripts/Rutgers/wp/rutgers-listwp.exe?200414 [301 Moved Permanently]--> http://econweb.rutgers.edu/mizrach/scripts/Rutgers/wp/rutgers-listwp.exe?200414 [302 Found]--> https://econweb.rutgers.edu/mizrach/scripts/Rutgers/wp/rutgers-listwp.exe?200414)
http://repec.org/sce2005/up.23633.1107183520.pdf (application/pdf)
Related works:
Journal Article: Estimating the intensity of choice in a dynamic mutual fund allocation decision (2008) 
Working Paper: Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision (2004)
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:sce:scecf5:295
Access Statistics for this paper
More papers in Computing in Economics and Finance 2005 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().