mutual fund performance: a synthesis of taxonomic and methodological issues

Clicks: 6
ID: 179530
2010
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #49 of 56 articles by views in no_j_found

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This paper provides a comprehensive taxonomy of mutual funds and discusses the relative importance of these fund types. While most academic research focuses on US equity funds, we provide results for many more asset classes with this taxonomy—fixed income, balanced, global, International, sector, market-neutral and long-short funds. For each, we start by reporting statistics on the number of funds and their total net asset values at different intervals over the last four decades. We then identify short and long-term patterns in annual returns to mutual funds. We study the cross-sectional and time-series properties of the distribution of investor flows into different types of mutual funds, describe the relationship between flows and performance and discuss its implications for the strategic behaviour of managers and investors. We estimate and interpret fund performance alphas using both the single-factor and four-factor Fama-French models for each taxonomy type. Finally we describe the state of academic research on portfolio performance evaluation tilted towards an applied audience.
Reference Key
badrinath2010iimbmutual Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;S.G. Badrinath;Stefano Gubellini
Journal no_j_found
Year 2010
DOI
10.1016/j.iimb.2010.08.002
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.