Description

Zscaler, Inc. - Common Stock

Statistics (YTD)

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

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.'

Which means for our asset as example:
  • The total return, or increase in value over 5 years of Zscaler is 214.9%, which is greater, thus better compared to the benchmark SPY (107.6%) in the same period.
  • Looking at total return, or increase in value in of 52.2% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (48.1%).

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.'

Which means for our asset as example:
  • The annual return (CAGR) over 5 years of Zscaler is 25.9%, which is larger, thus better compared to the benchmark SPY (15.8%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 15.1%, which is higher, thus better than the value of 14% from the benchmark.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.9%) in the period of the last 5 years, the 30 days standard deviation of 57% of Zscaler is greater, thus worse.
  • Looking at historical 30 days volatility in of 54.7% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (18.3%).

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:
  • The downside volatility over 5 years of Zscaler is 38%, which is larger, thus worse compared to the benchmark SPY (12.5%) in the same period.
  • Looking at downside risk in of 37.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.4%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.74) in the period of the last 5 years, the Sharpe Ratio of 0.41 of Zscaler is lower, thus worse.
  • During the last 3 years, the Sharpe Ratio is 0.23, which is lower, thus worse than the value of 0.63 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Which means for our asset as example:
  • The ratio of annual return and downside deviation over 5 years of Zscaler is 0.61, which is lower, thus worse compared to the benchmark SPY (1.06) in the same period.
  • Looking at ratio of annual return and downside deviation in of 0.34 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.93).

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.'

Which means for our asset as example:
  • The Ulcer Ratio over 5 years of Zscaler is 44 , which is higher, thus worse compared to the benchmark SPY (8.48 ) in the same period.
  • Looking at Downside risk index in of 26 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (5.54 ).

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.'

Which means for our asset as example:
  • The maximum drop from peak to valley over 5 years of Zscaler is -76.4 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -55.1 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 time in days below previous high water mark of 869 days of Zscaler is higher, thus worse.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum days below previous high of 312 days is greater, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The average time in days below previous high water mark over 5 years of Zscaler is 325 days, which is higher, thus worse compared to the benchmark SPY (119 days) in the same period.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 133 days is greater, thus worse.

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 and do not account for slippage, fees or taxes.