Description

Salesforce, 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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 38.6% in the last 5 years of Salesforce, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (112.4%)
  • Looking at total return, or performance in of 54.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (66.5%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (16.3%) in the period of the last 5 years, the annual return (CAGR) of 6.8% of Salesforce is smaller, thus worse.
  • Looking at compounded annual growth rate (CAGR) in of 15.6% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (18.7%).

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.'

Which means for our asset as example:
  • Looking at the 30 days standard deviation of 37.7% in the last 5 years of Salesforce, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.5%)
  • Looking at volatility in of 35.2% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.5%).

DownVol:

'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 (12.1%) in the period of the last 5 years, the downside risk of 25.5% of Salesforce is higher, thus worse.
  • During the last 3 years, the downside risk is 24.4%, which is greater, thus worse than the value of 11.6% from the benchmark.

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:
  • Looking at the ratio of return and volatility (Sharpe) of 0.11 in the last 5 years of Salesforce, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.79)
  • Looking at risk / return profile (Sharpe) in of 0.37 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.92).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (1.14) in the period of the last 5 years, the excess return divided by the downside deviation of 0.17 of Salesforce is lower, thus worse.
  • During the last 3 years, the excess return divided by the downside deviation is 0.54, which is lower, thus worse than the value of 1.4 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The Ulcer Index over 5 years of Salesforce is 28 , which is higher, thus worse compared to the benchmark SPY (8.48 ) in the same period.
  • Looking at Ulcer Ratio in of 16 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (5.31 ).

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 DrawDown over 5 years of Salesforce is -58.6 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 drop from peak to valley is -35.6 days, which is smaller, thus worse than the value of -18.8 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:
  • The maximum days below previous high over 5 years of Salesforce is 579 days, which is larger, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 174 days is smaller, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average time in days below previous high water mark of 187 days of Salesforce is larger, thus worse.
  • Looking at average days under water in of 62 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 Salesforce are hypothetical and do not account for slippage, fees or taxes.