Description

Fortinet, Inc. - Common Stock

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (115.2%) in the period of the last 5 years, the total return of 285.1% of Fortinet is greater, thus better.
  • During the last 3 years, the total return, or increase in value is 86.9%, which is larger, thus better than the value of 70.9% from the benchmark.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:
  • The compounded annual growth rate (CAGR) over 5 years of Fortinet is 31.1%, which is larger, thus better compared to the benchmark SPY (16.6%) in the same period.
  • During the last 3 years, the annual performance (CAGR) is 23.3%, which is greater, thus better than the value of 19.7% 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.'

Applying this definition to our asset in some examples:
  • The volatility over 5 years of Fortinet is 42.3%, which is larger, thus worse compared to the benchmark SPY (17.6%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 41.7%, which is higher, thus worse than the value of 17.5% from the benchmark.

DownVol:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (12.1%) in the period of the last 5 years, the downside risk of 30.2% of Fortinet is greater, thus worse.
  • Looking at downside risk in of 29.9% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (11.6%).

Sharpe:

'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:
  • The Sharpe Ratio over 5 years of Fortinet is 0.68, which is lower, thus worse compared to the benchmark SPY (0.81) in the same period.
  • Compared with SPY (0.98) in the period of the last 3 years, the Sharpe Ratio of 0.5 is lower, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 0.95 in the last 5 years of Fortinet, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.17)
  • Compared with SPY (1.49) in the period of the last 3 years, the excess return divided by the downside deviation of 0.7 is smaller, thus worse.

Ulcer:

'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:
  • Looking at the Ulcer Index of 18 in the last 5 years of Fortinet, we see it is relatively higher, thus worse in comparison to the benchmark SPY (8.48 )
  • Compared with SPY (5.31 ) in the period of the last 3 years, the Downside risk index of 17 is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • The maximum drop from peak to valley over 5 years of Fortinet is -38.3 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum DrawDown is -38.3 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

MaxDuration:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 368 days of Fortinet is lower, thus better.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 310 days is larger, thus worse.

AveDuration:

'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:
  • The average days below previous high over 5 years of Fortinet is 112 days, which is lower, thus better compared to the benchmark SPY (120 days) in the same period.
  • Looking at average days below previous high in of 94 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (47 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of Fortinet are hypothetical and do not account for slippage, fees or taxes.