M2 Measure

M2 measure is an extended and more useful version of the Sharpe ratio which gives us the risk-adjusted return of the portfolio by multiplying the Sharpe ratio with the standard deviation of any benchmark market index and adding risk-free return thereafter to it.

• M2 measure is a risk-adjusted performance metric derived from the Sharpe ratio, used to assess the performance of a portfolio relative to a benchmark and the risk-free rate of return.
• It is calculated by multiplying the Sharpe ratio by the standard deviation of the benchmark and adding the risk-free rate of return.
• The M2 measure is advantageous because it provides an easy-to-interpret percentage return unit, facilitating portfolio comparison.
• However, it has limitations as it relies solely on historical risk data and can be manipulated by portfolio managers to enhance their risk-adjusted returns.

For the calculation of the M2, firstly, the Sharpe ratio (annual) will be calculated. The calculated Sharpe ratio will then be used for deriving the M squared by multiplying the Sharpe ratio by the standard deviation of the benchmark. Here the benchmark will be chosen by the person calculating the M2 measure.

Examples of standard benchmark could be the MSCI World index, S&P 500 index, or any other broad index. After multiplying the Sharpe ratio by the standard deviation of the benchmark, the risk-free rate of return will be added.

The following are the steps or formulas for the calculation of the M2 measure.

Step 1: Calculation of Sharpe ratio (annualized)

Sharpe Ratio Formula (SR) = (r_p – r_f) / σ_p

Where,

• r_p = return of the portfolio
• r_f = risk-free rate of return
• σ_p = standard deviation of the excess return of the portfolio

Step 2: Multiplying Sharpe ratio as calculated in step 1 with the standard deviation of the benchmark

= SR * σ_benchmark

Where,

• σ_benchmark = standard deviation of benchmark

Step 3: Adding the risk-free rate of return to the outcome derived in step 2

M squared measure = SR * σbenchmark + (rf)

With the equation as derived above for the calculation of Modigliani–Modigliani measure, it can be seen that the M2 measure is the excess return, which is weighted over the standard deviation of benchmark and portfolio increasing with the risk-free rate of return.

Use Market Portfolio with Investors portfolio to calculate Modigliani–Modigliani measure.

Given:

Market Portfolio: 

• Market Risk (r_m): 22
• Risk free return (r_f): 12
• σ_benchark: 6

Investor's Portfolio:

• Portfolio risk (r_p)  : 26%
• Ris free return (r_f): 12%
• σ_p: 7

1. It is a risk-adjusted performance metric that is easy to interpret.
2. M2 measure is more useful when compared with the Sharpe ratio from which it is derived because it is awkward to interpret Sharpe ratio when the same is negative.
3. Also, one might find it difficult to compare Sharpe ratios directly from different investments. Like if one wants to compare two different portfolios, one having a Sharpe ratio of 0.60 and another having −0.60, then it would be difficult to conclude how worse the second portfolio is.
4. The same is in case of another measure like Treynor ratio, Sortino ratio, and other ratios, which are calculated in terms of ratio. This problem is overcome in Modigliani risk-adjusted performance as it is in percentage return unit, which can be interpreted instantly and easily by all the investors.
5. So, it is easy to know the difference between the two or more investment portfolios. Like M2 values of portfolio 1 are 5.4% and of the second portfolio is 5.9%, then it shows that there is a difference of 0.5 percentage risk-adjusted return with riskiness adjusted with the benchmark portfolio.
6. Thus it helps in comparing the two different portfolios.

1. The data used for the calculation of M2 measures incorporate only historical risk.
2. The portfolio manager can manipulate the measures that seek to boost their history of risk-adjusted returns.

1. The calculated return of the portfolio will be equal to the M2 measure when the portfolio’s standard deviation is equal to the standard deviation of the benchmark. This generally happens when the portfolio is tracking an index.
2. The M squared measure also has an alternative where a systematic risk component will be used in place of the full volatility component. The same, however, will be a good indicator only if the portfolio under consideration is a well-diversified portfolio because under diversification may lead to underestimation of the portfolio’s riskiness as some idiosyncratic risk will be left in that case.
3. The M2 measure is derived directly from the Sharpe ratio so, any portfolio orderings using the M2 measure will exactly be the same as the portfolio ordering using the Sharpe ratio.
4. M2 measure helps in measuring the returns of portfolios after adjusting the risk associated, i.e., it measures the risk-adjusted return of the different investment portfolios relative to a benchmark.
5. M2 measure is also sometimes known as M squared, Modigliani–Modigliani measure, RAP, or Modigliani risk-adjusted-performance.
6. One can interpret the M2 measure as the difference between the portfolio’s scaled excess return with that of the market, where the scaled portfolio has volatility being the same as that of the market.
7. The M squared measure is calculated from the famous and widely used ‘Sharpe ratio’ with the added advantage that it is in units of the percent return, which makes it more intuitive for the interpretation by the user.

M2 measure is helpful in knowing that with the specified amount of risk taken, how well the portfolio is rewarding the investor, in relation to the benchmark portfolio and the risk-free rate of return. So, if an investment is considered which has more risk than the benchmark portfolio, with small performance advantage, then it might have less risk-adjusted performance when compared with another portfolio where there is less risk in relation to some benchmark portfolio, but having a similar amount of return. It is easy to interpret and helpful in comparison to two or more portfolios by the user.

This has been a guide to what is M2 Measure. Here we discuss the formula to calculate M squared measure along with examples, advantages & disadvantages. You can learn more about Investment Banking from the following articles –

• Commingled Funds
• Examples of Standard Deviation
• Paasche Index
• Quantamental Investing
• Modified Dietz