On the management efficiency of Brazilian stock mutual funds
Paulo Matos (),
Guilherme Padilha () and
Maurício Benegas ()
Additional contact information
Paulo Matos: CAEN/UFC
Guilherme Padilha: Petrobrás
Maurício Benegas: CAEN/UFC
Operational Research, 2016, vol. 16, issue 3, No 1, 365-399
Abstract:
Abstract In this paper, we suggest a technology process assuming that a stock mutual fund, as an usual firm, can be seen as a decision-making unit, so that we can measure the effect of its decisions regarding allocation of resources for administrative and non-administrative expenses on its own levels of gain and risk. Theoretically, this approach enables us to take into account some of the critiques reported in the fund’s performance literature. In practice, we can test it by applying nonparametric linear mathematical programming methods. Here, we perform an empirical exercise based on bootstrapped Directional Distance Function in order to analyze the management efficiency of stock mutual funds in Brazil. We are able to evidence a high level of persistence in terms of efficiency over years. We can identify that the most efficient funds have higher values of net assets and that they allocate more weighted resources to administrative expenses than do the inefficient ones. Therefore, we get a high correlation of average weighted expenses on administrative expenses and average bootstrapped efficiency, about 0.7. We claim that investors should also perceive this kind of efficiency measure proposed here—relevant under the point of view of the fund managers—as a signal of performance in a short run.
Keywords: Operational research in finance; Management efficiency; Brazilian stock mutual funds; Directional distance function with bootstrap; Primary 90C05; Secondary 91G50 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12351-015-0204-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:operea:v:16:y:2016:i:3:d:10.1007_s12351-015-0204-y
Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351
DOI: 10.1007/s12351-015-0204-y
Access Statistics for this article
Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis
More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().