2003•˜The œjournal of wealth managementRequires access

10 Things That Investors Should Know About Hedge Funds

Harry M. Kat

Open publisher page 76 citations

Abstract

In this article, the author reviews some of the most important findings in hedge fund research so far. We show that proper hedge fund investing requires a much more elaborate approach to investment decision-making than currently in use by most investors. The available data on hedge funds should be corrected for various types of errors, survivorship bias, and autocorrelation. In addition, tools like mean-variance analysis and the Sharpe ratio are no longer appropriate when hedge funds are involved. Including hedge funds in a traditional investment portfolio can significantly improve that portfolio9s mean-variance characteristics, but it can also be expected to lead to significantly lower skewness as well as higher kurtosis. This means that the case for hedge funds is a lot less straightforward than often suggested and requires investors to make a definite trade-off between profit and loss potential.

About this research paper

What this paper is about

In this article, the author reviews some of the most important findings in hedge fund research so far. We show that proper hedge fund investing requires a much more elaborate approach to investment decision-making than currently in use by most investors. The available data on hedge funds should be corrected for various types of errors, survivorship bias, and autocorrelation. In addition, tools like mean-variance analysis and the Sharpe ratio are no longer appropriate when hedge funds are involved. Including hedge funds in a traditional investment portfolio can significantly improve that portfolio9s mean-variance characteristics, but it can also be expected to lead to significantly lower skewness as well as higher kurtosis. This means that the case for hedge funds is a lot less straightforward than often suggested and requires investors to make a definite trade-off between profit and loss potential.

Why it matters

OpenAlex reports 76 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this article, the author reviews some of the most important findings in hedge fund research so far. We show that proper hedge fund investing requires a much more elaborate approach to investment decision-making than currently in use by most investors. The available data on hedge funds should be corrected for various types of errors, survivorship bias, and autocorrelation. In addition, tools like mean-variance analysis and the Sharpe ratio are no longer appropriate when hedge funds are involved. Including hedge funds in a traditional investment portfolio can significantly improve that portfolio9s mean-variance characteristics, but it can also be expected to lead to significantly lower skewness as well as higher kurtosis. This means that the case for hedge funds is a lot less straightforward than often suggested and requires investors to make a definite trade-off between profit and loss potential.

Key concepts: Hedge fund, Alternative beta, Hedge accounting, Open-end fund, Business, Portfolio, Sharpe ratio, Kurtosis

Related papers

Back to paper searchBrowse research topicsOriginal source
10 Things That Investors Should Know About Hedge Funds — Research Paper | ScholarLens