Description

Zscaler, Inc. - Common Stock

Statistics (YTD)

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

TotalReturn:

'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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (67.7%) in the period of the last 5 years, the total return of % of Zscaler is lower, thus worse.
  • Compared with SPY (37%) in the period of the last 3 years, the total return of 152.6% is higher, thus better.

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 annual return (CAGR) over 5 years of Zscaler is %, which is smaller, thus worse compared to the benchmark SPY (10.9%) in the same period.
  • Looking at annual performance (CAGR) in of 36.1% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (11.1%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Which means for our asset as example:
  • The volatility over 5 years of Zscaler is %, which is smaller, thus better compared to the benchmark SPY (21.4%) in the same period.
  • Looking at 30 days standard deviation in of 64.8% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (24.8%).

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.'

Which means for our asset as example:
  • Looking at the downside deviation of % in the last 5 years of Zscaler, we see it is relatively lower, thus better in comparison to the benchmark SPY (15.5%)
  • Compared with SPY (17.9%) in the period of the last 3 years, the downside deviation of 42.6% is greater, thus worse.

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 Zscaler is , which is lower, thus worse compared to the benchmark SPY (0.39) in the same period.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.52, which is greater, thus better than the value of 0.34 from the benchmark.

Sortino:

'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:
  • Compared with the benchmark SPY (0.54) in the period of the last 5 years, the ratio of annual return and downside deviation of of Zscaler is lower, thus worse.
  • Looking at excess return divided by the downside deviation in of 0.79 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.48).

Ulcer:

'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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of in the last 5 years of Zscaler, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.47 )
  • Looking at Ulcer Ratio in of 30 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10 ).

MaxDD:

'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:
  • The maximum reduction from previous high over 5 years of Zscaler is days, which is lower, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • During the last 3 years, the maximum reduction from previous high is -68.5 days, which is lower, thus worse than the value of -33.7 days from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of days in the last 5 years of Zscaler, we see it is relatively lower, thus better in comparison to the benchmark SPY (231 days)
  • Compared with SPY (231 days) in the period of the last 3 years, the maximum days below previous high of 260 days is greater, 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 under water over 5 years of Zscaler is days, which is lower, thus better compared to the benchmark SPY (54 days) in the same period.
  • During the last 3 years, the average days below previous high is 64 days, which is greater, thus worse than the value of 58 days from the benchmark.

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 Zscaler 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.