'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:- The total return, or increase in value over 5 years of Akamai Technologies is 41.8%, which is smaller, thus worse compared to the benchmark SPY (77.1%) in the same period.
- Looking at total return, or increase in value in of 62.8% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (51.7%).

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (12.1%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 7.2% of Akamai Technologies is smaller, thus worse.
- Compared with SPY (14.9%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 17.7% is higher, thus better.

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (13.3%) in the period of the last 5 years, the historical 30 days volatility of 32% of Akamai Technologies is higher, thus worse.
- Looking at volatility in of 29% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (13%).

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

Using this definition on our asset we see for example:- Compared with the benchmark SPY (9.6%) in the period of the last 5 years, the downside deviation of 22.7% of Akamai Technologies is greater, thus worse.
- Compared with SPY (9.4%) in the period of the last 3 years, the downside risk of 20.6% is greater, thus worse.

'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.'

Applying this definition to our asset in some examples:- Looking at the ratio of return and volatility (Sharpe) of 0.15 in the last 5 years of Akamai Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.72)
- Looking at ratio of return and volatility (Sharpe) in of 0.52 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.96).

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (1) in the period of the last 5 years, the downside risk / excess return profile of 0.21 of Akamai Technologies is smaller, thus worse.
- Compared with SPY (1.32) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.74 is lower, thus worse.

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:- The Ulcer Index over 5 years of Akamai Technologies is 22 , which is larger, thus worse compared to the benchmark SPY (3.97 ) in the same period.
- Looking at Downside risk index in of 14 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (4.1 ).

'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.'

Using this definition on our asset we see for example:- Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum drop from peak to valley of -49.5 days of Akamai Technologies is smaller, thus worse.
- During the last 3 years, the maximum drop from peak to valley is -30.9 days, which is lower, thus worse than the value of -19.3 days from the benchmark.

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Which means for our asset as example:- Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 769 days of Akamai Technologies is greater, thus worse.
- During the last 3 years, the maximum time in days below previous high water mark is 268 days, which is larger, thus worse than the value of 139 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.'

Applying this definition to our asset in some examples:- Looking at the average days under water of 275 days in the last 5 years of Akamai Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (42 days)
- During the last 3 years, the average days under water is 84 days, which is higher, thus worse than the value of 37 days from the benchmark.

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 Akamai Technologies 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.