Abstract
We survey articles covering how hedge fund returns are explained, using largely non-linear multifactor models that examine the non-linear pay-offs and exposures of hedge funds. We provide an integrated view of the implicit factor and statistical factor models that are largely able to explain the hedge fund return-generating process. We present their evolution through time by discussing pioneering studies that made a significant contribution to knowledge, and also recent innovative studies that examine hedge fund exposures using advanced econometric methods. This is the first review that analyzes very recent studies that explain a large part of hedge fund variation. We conclude by presenting some gaps for future research.
| Original language | English |
|---|---|
| Pages (from-to) | 69-87 |
| Journal | Global Finance Journal |
| Volume | 33 |
| Early online date | 28 Aug 2016 |
| DOIs | |
| Publication status | Published - 1 May 2017 |
Bibliographical note
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Keywords
- hedge fund performance
- implicit factors
- statistical factors
- linear and non-linear
- multi-factor models
- alpha and beta returns
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