Sharpe Ratio Definition
Sharpe ratio is the ratio developed by William F. Sharpe and used by the investors in order to derive the excess average return of the portfolio over the risk-free rate of the return, per unit of the volatility (standard deviation) of the portfolio.
Sharpe Ratio is a critical component for marking the overall returns on a portfolio. It is the average return earned in excess of the risk-free return compared to the total amount of risk borne. It is a way to examine the performance of an investment by adjusting for its risk component. The Sharpe ratio characterizes how well the return of an asset compensates the investor for the risk taken. When comparing two assets versus a common benchmark, the one with a higher Sharpe ratio provides is indicated as a favorable investment opportunity at the same level of risk.
If you look at the table above, you will see that PRWCX has a higher Sharpe Ratio of 1.48 and is the best fund in its group.
Sharpe Ratio, like any other mathematical model, relies on the accuracy of the data, which needs to be correct. While examining the investment performance of assets with smoothening of returns, the Sharpe ratio would be derived from the performance of the underlying assetsUnderlying AssetsUnderlying assets are the actual financial assets on which the financial derivatives rely. Thus, any change in the value of a derivative reflects the price fluctuation of its underlying asset. Such assets comprise stocks, commodities, market indices, bonds, currencies and interest rates. rather than the fund returns. This ratio, along with Treynor RatiosTreynor RatiosThe Treynor ratio is similar to the Sharpe ratio and it calculates excess return over risk-free return per unit of portfolio volatility using beta rather than standard deviation as a risk measure. As a result, it gives the excess return over the risk-free rate of return per unit of the beta of the investor's overall portfolio. and Jason’s Alphas, is often used to rank the performance of various portfolios or Fund managers.
In 1966, William Sharpe developed this ratio, which was originally called it the “reward-to-variability” ratio before it began being called the Sharpe ratio by subsequent academics and financial operators. It was defined in multiple ways till ultimately, it was charted as below:
Sharpe Ratio Formula = (Expected Return – Risk-Free rate of return) / Standard Deviation (Volatility)
Some of the concepts which we require to understand are:
- Returns – The returns could be of various frequencies, such as daily, weekly, monthly, or annually as long as the distribution is spread normally since these returns can be annualized to arrive at precise results. Abnormal situations like higher peaks, skewnessSkewnessSkewness is the deviation or degree of asymmetry shown by a bell curve or the normal distribution within a given data set. If the curve shifts to the right, it is considered positive skewness, while a curve shifted to the left represents negative skewness. on the distribution can be a problem area for the ratio as standard deviation does not possess the same effectiveness when these issues exist.
- Risk-Free Rate of Return – This is used to assess if one is correctly compensated for the additional risk borne because of the risky asset. Traditionally, the rate of return with no financial loss is the Government securities with the shortest duration (e.g., US Treasury Bill). While such a variant of security has the least amount of volatility, it can be argued that such securities should match with other securities of equivalent duration.
- Standard Deviation – It is a quantity that expresses how many units from a given set of variables differ from the Mean average of the group. Once this excess return over the risk-free return is calculated, it has to be divided by the Standard deviation of the risky asset being measured. The greater the number, the attractive the investment will appear from a risk/return perspective. However, unless the standard deviation is substantially large, the leverage component may not impact the ratio. Both the numerator (return) and denominator (standard deviation) could be doubled with no problems.
Client ‘A’ currently is holding a $450,000 invested in a portfolio with an expected return of 12% and a volatility of 10%. The efficient portfolio has an expected return of 17% and a volatility of 12%. The risk-free rate of interest is 5%. What is the Sharpe Ratio?
Sharpe Ratio Formula = (Expected Return – Risk-Free rate of return) / Standard Deviation (Volatility)
Sharpe Ratio = (0.12-0.05)/0.10 = 70% or 0.7x
Calculating Sharpe Ratio in Excel
Now that we know how the formula works let us calculate Sharpe RatioCalculate Sharpe RatioThe Sharpe ratio formula calculates the excess return over the risk-free return per unit of the portfolio's volatility. The risk-free rate of return gets subtracted from the expected portfolio return and is divided by the standard deviation of the portfolio. Sharpe ratio = (Rp – Rf)/ σp in excel.
Follow the steps to get Sharpe ratio in excel.
- Get the returns in the tabular format.
The first step involves arranging for the returns of the portfolio of the mutual fundMutual FundA mutual fund is an investment fund that investors professionally manage by pooling money from multiple investors to initiate investment in securities individually held to provide greater diversification, long term gains and lower level of risks. that you want to analyze. The time period can be monthly, quarterly, or annual. The below table provides the annual returns of a mutual fund.
- Get Risk Free Return Details in the table.
In this table below, I have made an assumption that the risk-free return is 3.0% throughout the span of 15 years. However, the risk-free rate may change each year, and you need to put that number here.
- Find Excess Return
The third step in calculating the Sharpe ratio in excel is to find the excess returns of the portfolio. In our case, the excess return is the Yearly Returns – Risk-Free Return.
- Find the average of Annual Returns.
The fourth step in calculating the Sharpe ratio in excel is to find the average of the yearly returns. You can use the excel formula AVERAGE to find the average of the portfolio. In our example, we get an average return of 12.09%.
- Find a Standard Deviation of the Excess Returns
In order to find the standard deviation of excess returns, you can use the excel formula STDEV, as given below.
- Calculate Sharpe Ratio
The final step to calculating the Sharpe ratio in excel is to divide the Average Returns by Standard deviation. We get the ratio = 12.09% / 8.8% = 1.37x
Advantages of Using Sharpe Ratio
#1 – Sharpe Ratio helps in comparing and contrasting new asset addition
It is used to compare the variance of a portfolio’s overall risk-return features whenever a new asset or a class of asset is added to it.
- For instance, a portfolio manager is considering the addition of a commodities fund allocation to his existing 80/20 investment portfolio of stocks having a Sharpe ratio of 0.81.
- If the new portfolio’s allocation is 40/40/20 stocks, bonds, and a debt fund allocation, the Sharpe ratio increases to 0.92.
This is an indication that although the commodities fund investment is volatile as a stand-alone exposure, in this case, it actually leads to an improvement of the risk-return characteristic of the combined portfolio, and thus adds a benefit of diversification into another asset class to the existing portfolio. There has to be an involvement of careful analysis that the fund allocation may have to be altered at a later stage if it is having a negative effect on the health of the portfolio. If the addition of the new investment is leading to a reduction in the ratio, it should not be included in the portfolio.
#2 – Sharpe Ratio helps in Risk Return Comparision
This ratio can also provide guidance on whether the excessive returns of a portfolio are due to careful investment decision making or a result of undue risks taken. Although an individual fund or portfolio can enjoy greater returns than its peers, it is only a reasonable investment if those higher returns do not come with undue risks. The greater the Sharpe ratio of a portfolio, the better its performance has been factoring the risk component. A negative Sharpe ratio indicates that the lesser riskier asset would perform better than the security being analyzed.
Let us take an example of the Risk-Return Comparision.
Assume portfolio A had or is expected to have a 12% rate of return with a standard deviation of 0.15. Assuming a benchmark return of about 1.5%, the rate of return (R) would be 0.12, Rf will be 0.015, and’s’ will be 0.15. The ratio will be read as (0.12 – 0.015)/0.15, which calculates to 0.70. However, this number will make sense when it is compared to another portfolio, says Portfolio ‘B’
If portfolio ‘B’ shows more variability than Portfolio ‘A’ but has the same return, it will have a greater standard deviation with the same rate of return from the portfolio. Assuming the standard deviation for Portfolio B is 0.20, the equation would be read as (0.12 – 0.015) / 0.15. The Sharpe ratio for this portfolio will be 0.53, which is lower in comparison to Portfolio ‘A.’ This may not be an astonishing result, taking into consideration the fact that both the investments were offering the same return, but ‘B’ had a greater quantum of risk. Obviously, the one which has less risk offering the same return will be a preferred option.
Criticisms of Sharpe Ratio
The Sharpe ratio utilizes the Standard deviation of returns in the denominator as an alternative to the overall portfolio risks, with an assumption that returns are evenly distributed. Past testing has shown that returns from certain financial assets may deviate from a normal distribution, resulting in relevant interpretations of the Sharpe ratio to be misguiding.
This ratio can be improved by various fund managers attempting to boost their apparent risk-adjusted return, which can be executed as below:
- Increasing the Time Duration to be measured: This will result in a lesser probability of volatility. For instance, the annualized standard deviation of daily returns is generally higher than of weekly returns, which in turn is higher than that of the monthly returns. The greater the time duration, the clearer picture one has to exclude any one-off factors which can impact the overall performance.
- Compounding of the monthly returns but computing the standard deviation, excluding this recently calculated compounded monthly return.
- Writing out-of-the-moneyOut-of-the-money”Out of the money” is the term used in options trading & can be described as an option contract that has no intrinsic value if exercised today. In simple terms, such options trade below the value of an underlying asset and therefore, only have time value. sell and buy decisions of a portfolio: Such a strategy can potentially increase the returns by collecting the options premium without paying off for a number of years. Strategies that involve challenging the default risk, liquidity risk, or other forms of wide-spreading risks possess the same ability to report an upwardly biased Sharpe ratio.
- Smoothening of returns: Using certain derivative structures, irregular marking to marketMarking To MarketMarking to market (MTM) is the concept of recording the accounts, i.e., the assets and liabilities at their fair value or at the current market price, which varies with time rather than historical cost. It helps to represent the company's actual financial condition. of less liquid assets, or utilizing certain pricing models that underestimate monthly profits or losses can reduce the expected volatility.
- Eliminating Extreme returns: Too high or too low returns can increase the reported standard deviation of any portfolio since it is the distance from the average. In such a case, a fund manager may choose to eliminate the extreme ends (best and the worst) monthly returns each year to reduce the standard deviation and affect the results since such a one-off situation can impact the overall average.
Ex-Ante and Ex-Post Sharpe Ratio
The Sharpe ratio has been revised multiple times, but two general forms that have been used are ex-ante (prediction of future return and variance) and ex-post (analysis of past return variance).
- Ex-ante Sharpe ratio predictions are simple to estimate patterns after observations of the past performance of similar investment activities.
- The Ex-post Sharpe Ratio measures how high the returns were, versus how varied those returns were over a given time period. More specifically, it is the ratio of the differential returns ( the difference between the returns on investment and a benchmark investment) versus the historical variability (standard deviation) of those returns.
The Sharpe ratio is a standard measure of the performance of the portfolio. Due to its simplicity and ease of interpretation, it is one of the most popular indexes. Unfortunately, most of the users forget the assumptions that result in an inappropriate outcome. You should consider checking the distribution of the returns or validation of the results with equivalent performance measures before arriving at a decision on the market.
This has been a guide to what is Sharpe Ratio and its meaning. Here we discuss step by step calculation of the Sharpe ratio in excel with examples, advantages, and criticism. You may learn more about financing from the following articles –