澳洲幸运5官方开奖结果体彩网

Understanding Quantitative Analysis of Hedge Funds

Part of the Series
Guide to Hedge Funds

Although mutual funds and 澳洲幸运5官方开奖结果体彩网:hedge funds can be analyzed using very similar metrics and processes, hedge funds do require an additional level of depth to address their level of complexity and their asymmetric expected returns. Hedge funds are generally only accessible to 澳洲幸运5官方开奖结果体彩网:accredited investors as they require compliance with fewer SEC regulations than other funds.

This article will address some of the critical metrics ᩚᩚᩚᩚᩚᩚ⁤⁤⁤⁤ᩚ⁤⁤⁤⁤ᩚ⁤⁤⁤⁤ᩚ𒀱ᩚᩚᩚto understand when analyzing hedge funds, and although there are many others that need to be considered, the ones included here are a good place to start for a rigorous analysis of hedge fund performance.

Key Takeaways

  • Understanding the performance and risk characteristics of hedge funds can often be quite a bit more complex than a mutual fund or standard portfolio of stocks and bonds.
  • Many hedge funds seek absolute returns rather than trying to beat an index like the S&P 500, and so performance must be judged accordingly and depending on the particular strategy.
  • Risk, likewise, must be measured in ways that are compatible with the investment goals, and may include value-at-risk (VaR) as well as analysis of fat tails.

Absolute and Relative Returns

Similar to mutual fund performance analysis, hedge funds should be evaluated for 澳洲幸运5官方开奖结果体彩网:🎃both absolute and r⛎elative return performance. However, because of the variety of hedge fund strategies and the uniqueness of each hedge fund, a good understanding of the different types o♑f returns is necessary in order to identify them.

澳洲幸运5官方开奖结果体彩网:Absolute returns give the investor an idea of where to categorize the fund in comparison to the more traditional types of investments. Also referred to as the 澳洲幸运5官方开奖结果体彩网:total return, abso❀lute return measures the gain or loss experienced by a fund.

For example, a hedge fund with low and stable returns is probably a better substitute for fixed income investments than it would be for 澳洲幸运5官方开奖结果体彩网:emerging market equities, which might be replaced by a high-return 澳洲幸运5官方开奖结果体彩网:global macro fund.

澳洲幸运5官方开奖结果体彩网:Relative returns, on the other hand, allow an investor to determine a fund's attractiveness compared to other investments. The comparables can be other hedge funds, mutual 🎀funds or even certain indexes that an investor is trying to mimic. The key to evaluating relative returns is to determine performance over several time periods, such as one-, three- and five-year annualized returns. In addition, these returns should also be considered relative to the risk inherent in each investment.

The best method to evaluate relative performance is to define a list of peers, which could include a cross-section of traditional mutual funds, equity or fixed-income indexes and other hedge funds with similar strategies. A good fund should perform in the top 澳洲幸运5官方开奖结果体彩网:quartiles for each period being analyze💜d in order to effectively prove its alpha-gen♑erating ability.

Measuring Risk

Doing 澳洲幸运5官方开奖结果体彩网:quantitative analysis without considering risk is akin to crossing a busy street while blindfolded. Basic financial theory indicates that outsized returns can be generated only by taking risks, so although a fund may exhibit excellent returns, an investor should incorporate risk into the analysis to determine the risk-adjusted performance of the fund 🥃and how it compares to other investments.

There are several metrics used to measure risk:

Standard Deviation

Among the advantages of using 澳洲幸运5官方开奖结果体彩网:standard deviation as a measure of risk are its ease of calculation and the simplicity of the concept of a 澳洲幸运5官方开奖结果体彩网:normal distribution of returns. Unfortunately, that is also the reason for its weakness in describing the inherent risks in hedge funds. Most hedge funds do not have symmetrical returns, and the standard deviation metric can also mask theꦡ higher-than-expected probability of large losses.

Value at Risk (VaR)

澳洲幸运5官方开奖结果体彩网:Value at risk is a risk metric that is based on a combination of mean and standard deviation. Unlike standard deviation, however, it does not describe risk in terms of volatility, but rather as the highest amount that is likely to be lost with a five percent probabꦇility. In a normal distribution, it is represented by the leftmost five percent of 🍌probable results. The drawback is that both the amount and probability can be underestimated because of the assumption of normally distributed returns. It should still be evaluated when performing quantitative analysis, but an investor should also consider additional metrics when evaluating risk.

Skewness

Skewness is a measure oღf the asymmetry of r🥂eturns, and analyzing this metric can shed additional light on the risk of a fund.

The figure below shows two graphs with identical means and standard deviations. The graph on the left is positively skewed. This means the mean > median > mode. Notice how the right tail is longer and the results on the left are bunched up towards the center. Although these results indicate a higher probability of a result that is less than the mean, it also indicates the probability, albeit low, of an extremely positive result as indicated by the 澳洲幸运5官方开奖结果体彩网:long tail on the right side.

Quantitative Hedge Fund 1
Figure 1: 🥃Positive skewness and negative skewness. Image by Julie Bang © Investopedia 2020

A skewness of approximately zero indicates a normal distribution. Any skewness measure that is positive would more likely resemble the d꧅istribution on the left, while negative skewness resembles the distribution on the right. As you can see fro꧒m the graphs, the danger of a negatively skewed distribution is the probability of a very negative result, even if the probability is low.

Kurtosis

澳洲幸运5官方开奖结果体彩网:Kurtosis is a measure of the combined weight of a distribution's tai꧅ls relative to the 🔜rest of the distribution.

In Figure 2 below, the distribution on the left exhibits negative kurtosis, indicating a lower probability of results around the mean, and lower probability of extreme values. A 𝕴positive kurtosis, the distribution on the right, indicates a higher probability of results near the mean, but also a higher probability of extreme values. In this case, both distributions also have the same mean and standard deviation, so an investor can begin to get an idea of the imp🗹ortance of analyzing the additional risk metrics beyond standard deviation and VAR.

Quantitative Hedge Fund 2
Figure 2: Negatives 💫kurto꧂sis and positive kurtosis. Image by Julie Bang © Investopedia 2020

Sharpe Ratio

One of the most popular measures of 澳洲幸运5官方开奖结果体彩网:risk-adjusted returns used by hedge funds is the 澳洲幸运5官方开奖结果体彩网:Sharpe ratio. The Sharpe ratio indicates the amount of add🦄itional return obtained for each level of risk taken. A Sharpe ratio💃 greater than 1 is good, while ratios below 1 can be judged based on the asset class or investment strategy used. In any case, the inputs to the calculation of the Sharpe ratio are mean, standard deviation and the risk-free rate, so Sharpe ratios may be more attractive during periods of low-interest rates and less attractive during periods of higher interest rates.

Measuring Performance With Benchmark Ratios

To accurately measure fund performance, it is necessary to have a point of comparison against which to evaluate returns. These comparison points are known as 澳洲幸运5官方开奖结果体彩网:benchmarks.

There are several measures that can be applied to measure performance relative to a benchmark. These are threღe common onesღ:

Beta

Beta is called 澳洲幸运5官方开奖结果体彩网:systematic risk and is a measure of a fund's returns relative to the returns on an index. A market or index🗹 being compared is assigned a beta of 1. A fund with a beta of 1.5, therefore, will tend to have a return of 1.5 percent for every 1 percent movement in the market/index. A fund with🌌 a beta of 0.5, on the other hand, will have a 0.5 percent return for every 1 percent return on the market.

Beta is an excellent measure of determining how much equity exposure — to a particular asset class—a fund has and allows an investor to determine if and/or how large allocation to a fund is warranted. Beta can be measured relative to any benchmark index, including equity, fixed-income or hedge fund indexes, to reveal a fund's sensitivity to movements in the particular index. Most hedge funds calculate beta relative to the 澳洲幸运5官方开奖结果体彩网:S&P 500 index since they are selling their returns based on their relative insensitivity/correlation to the broader 澳洲幸运5官方开奖结果体彩网:equity market.

Correlation

澳洲幸运5官方开奖结果体彩网:Correlation is very similar to beta in that it measures relative changes in returns. However, unlike beta, which assumes that the market drives the performance of a fund to some extent, correlation measures how related the returns of two funds might be. 澳洲幸运5官方开奖结果体彩网:Diversification, for example, ꦿis based on the fact that different asset classes and investment strategies react differently to syꦺstematic factors.

Correlation is measured on a scale of -1 to +1, where -1 indicates a perfect 澳洲幸运5官方开奖结果体彩网:negative correlation, zero indicates no apparent correlation at all, and +1 indicates a perfect 澳洲幸运5官方开奖结果体彩网:positive correlation. A perfect negative correlation can be achieved by comparing the returns on a long S&P 500 position with a short S&P 500 position. Obviou✱sly, for every percent increase in one position, there will be aꦅn equal percent decrease in the other.

The best use of correlation is to compare the correlation of each fund in a portfolio with each of the other funds in that portfolio. The lower the correlation these funds have to each other, the more likely the portfolio is well diversified. However, an investor should b﷽e 💮wary of too much diversification, as returns may be dramatically reduced.

Alpha

Many investors assume that alpha is the difference between the fund return and the benchmark return, but alpha actually considers the differenc❀e in returns relative to the amount of risk taken. In other words, if the returns are 25 percent better than the benchmark, but the risk taken was 40 percent greater than the benchmark, alpha would actually be negative.

Since this is what most hedge fund managers claim to add to returns, it's important to understand how to analyze it.

Alpha is calculated using the 澳洲幸运5官方开奖结果体彩网:CAPM model:

 ER i = R f + β i × ( ER m R f ) where: ER i = Expected return of the investment R f = Risk-free rate β i = Beta of the investment ER m = Expected return of the market \begin{aligned} &\text{ER}_i = \text{R}_f + \beta_i \times ( \text{ER}_m - \text{R}_f ) \\ &\textbf{where:} \\ &\text{ER}_i = \text{Expected return of the investment} \\ &\text{R}_f = \text{Risk-free rate} \\ &\beta_i = \text{Beta of the investment} \\ &\text{ER}_m = \text{Expected return of the market} \\ \end{aligned} ERi=Rf+βi×(ERmRf)where:ERi=Expected rꦜeturn of&nb🍎sp;the investmentRf=Risk-free rateβi=Beta of the investmentERm=Expected return of the market

To calculate whether a hedge fund manager added alpha based on the risk taken, an investor can simply substitute the beta of the hedge fund into the above equation, which would result in an 澳洲幸运5官方开奖结果体彩网:expected return on the hedge fund's performance. If the actual returns exceed the expected return, then the 澳洲幸运5官方开奖结果体彩网:hedge fund manager added alpha based on the risk taken. If the actual return is lower than the expected return, then the hedge fund manager did not add alpha based on risk taken, even though the actual returns may have been higher than the rele♕vant benchmark. Investors should want hedge fund managers who add alpha to returns with the risk they take, and who do not generate returns simply by taking additional risk.

The Bottom Line

Performing quantitative analysis on hedge funds can be complex, time-consuming, and often challenging. However, this article has provided a brief description of additional metrics that add valuable information to the analysis. There ✃is also a variety of other metrics that can be used, and even those discussed in this article may be more relevant for some hedge funds💃 and less relevant for others.

An investor should be able to understand more of the risks inherent in a particular fund by making the effort to perform a few additional calculations, many of which are automatically calculated by analytical software, including systems f🦩rom providers like Morningstar, PerTrac, and Zephyr.

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Part of the Series
Guide to Hedge Funds

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