Fortinet (FTNT)

TotalReturn:

'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.'

• Compared with the benchmark SPY (86.3%) in the period of the last 5 years, the total return, or increase in value of 158.6% of Fortinet is greater, thus better.
• Looking at total return, or increase in value in of 168.2% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (79.8%).

CAGR:

'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.'

• The annual return (CAGR) over 5 years of Fortinet is 21%, which is greater, thus better compared to the benchmark SPY (13.3%) in the same period.
• During the last 3 years, the annual performance (CAGR) is 39.1%, which is greater, thus better than the value of 21.7% from the benchmark.

Volatility:

'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.'

• The volatility over 5 years of Fortinet is 44.2%, which is greater, thus worse compared to the benchmark SPY (17.2%) in the same period.
• Compared with SPY (15.4%) in the period of the last 3 years, the historical 30 days volatility of 40.4% is greater, thus worse.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

• The downside volatility over 5 years of Fortinet is 31.6%, which is larger, thus worse compared to the benchmark SPY (11.8%) in the same period.
• During the last 3 years, the downside deviation is 26.4%, which is greater, thus worse than the value of 10.3% from the benchmark.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

• Looking at the ratio of return and volatility (Sharpe) of 0.42 in the last 5 years of Fortinet, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.63)
• During the last 3 years, the Sharpe Ratio is 0.91, which is lower, thus worse than the value of 1.25 from the benchmark.

Sortino:

'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.'

• Looking at the ratio of annual return and downside deviation of 0.59 in the last 5 years of Fortinet, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.91)
• During the last 3 years, the downside risk / excess return profile is 1.38, which is lower, thus worse than the value of 1.86 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

• The Ulcer Ratio over 5 years of Fortinet is 20 , which is larger, thus worse compared to the benchmark SPY (8.45 ) in the same period.
• Looking at Downside risk index in of 17 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.37 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -38.3 days of Fortinet is smaller, thus worse.
• Looking at maximum reduction from previous high in of -35.1 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 days).

MaxDuration:

'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.'

• Looking at the maximum days below previous high of 368 days in the last 5 years of Fortinet, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
• During the last 3 years, the maximum days below previous high is 306 days, which is greater, thus worse than the value of 87 days from the benchmark.

AveDuration:

'The Average 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. 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.'

• Looking at the average time in days below previous high water mark of 138 days in the last 5 years of Fortinet, we see it is relatively greater, thus worse in comparison to the benchmark SPY (119 days)
• Looking at average time in days below previous high water mark in of 86 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (18 days).