'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (80.1%) in the period of the last 5 years, the total return, or performance of 96.2% of Willis Towers Watson is larger, thus better.
- During the last 3 years, the total return, or increase in value is 59.1%, which is higher, thus better than the value of 30.8% from the benchmark.

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:- The annual return (CAGR) over 5 years of Willis Towers Watson is 14.4%, which is higher, thus better compared to the benchmark SPY (12.5%) in the same period.
- During the last 3 years, the annual performance (CAGR) is 16.7%, which is higher, thus better than the value of 9.4% from the benchmark.

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:- The 30 days standard deviation over 5 years of Willis Towers Watson is 25.5%, which is higher, thus worse compared to the benchmark SPY (21.3%) in the same period.
- During the last 3 years, the historical 30 days volatility is 29.7%, which is greater, thus worse than the value of 17.6% from the benchmark.

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Which means for our asset as example:- Looking at the downside deviation of 17.8% in the last 5 years of Willis Towers Watson, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15.3%)
- During the last 3 years, the downside risk is 20.7%, which is greater, thus worse than the value of 12.3% from the benchmark.

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:- Looking at the ratio of return and volatility (Sharpe) of 0.47 in the last 5 years of Willis Towers Watson, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.47)
- Looking at ratio of return and volatility (Sharpe) in of 0.48 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.39).

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Which means for our asset as example:- Looking at the excess return divided by the downside deviation of 0.67 in the last 5 years of Willis Towers Watson, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.66)
- During the last 3 years, the downside risk / excess return profile is 0.68, which is larger, thus better than the value of 0.56 from the benchmark.

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (9.43 ) in the period of the last 5 years, the Ulcer Index of 7.99 of Willis Towers Watson is smaller, thus better.
- Looking at Ulcer Index in of 9.23 in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (10 ).

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:- The maximum drop from peak to valley over 5 years of Willis Towers Watson is -32.9 days, which is higher, thus better compared to the benchmark SPY (-33.7 days) in the same period.
- Looking at maximum DrawDown in of -32.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 days).

'The Maximum Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Which means for our asset as example:- The maximum days under water over 5 years of Willis Towers Watson is 252 days, which is lower, thus better compared to the benchmark SPY (478 days) in the same period.
- During the last 3 years, the maximum time in days below previous high water mark is 252 days, which is lower, thus better than the value of 478 days from the benchmark.

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Which means for our asset as example:- Compared with the benchmark SPY (118 days) in the period of the last 5 years, the average days under water of 60 days of Willis Towers Watson is lower, thus better.
- Looking at average days under water in of 77 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (173 days).

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of Willis Towers Watson are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.