A note on the valuation of asset management firms
Juha Joenväärä () and
Bernd Scherer ()
Additional contact information
Juha Joenväärä: University of Oulu
Bernd Scherer: Deutsche Asset Management
Financial Markets and Portfolio Management, 2017, vol. 31, issue 2, No 3, 199 pages
Abstract:
Abstract Market capitalization relative to assets under management is often used to value asset management firms. Huberman’s (2004) dividend discount model implies that cross-sectional variations in this metric are explained by cross-sectional differences in operating margins, and yet we find no evidence of this in our data set. We show that a superior model—inspired by the work of Berk and Green (2004)—includes also the level of fees as an explanatory variable. This approach dramatically increases the fit of our valuation model and casts doubt on the relevance of the so-called Huberman puzzle.
Keywords: Asset management firm; Valuation; Revenues; Operating margins (search for similar items in EconPapers)
JEL-codes: G14 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11408-017-0287-y Abstract (text/html)
Access to full text is restricted to subscribers.
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:kap:fmktpm:v:31:y:2017:i:2:d:10.1007_s11408-017-0287-y
Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/11408/PS2
DOI: 10.1007/s11408-017-0287-y
Access Statistics for this article
Financial Markets and Portfolio Management is currently edited by Manuel Ammann
More articles in Financial Markets and Portfolio Management from Springer, Swiss Society for Financial Market Research Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().