Description

Salesforce, 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 (100.7%) in the period of the last 5 years, the total return of 90.4% of Salesforce is lower, thus worse.
  • During the last 3 years, the total return, or increase in value is 42.3%, which is larger, thus better than the value of 38% 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.'

Applying this definition to our asset in some examples:
  • The annual return (CAGR) over 5 years of Salesforce is 13.8%, which is smaller, thus worse compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (11.4%) in the period of the last 3 years, the annual return (CAGR) of 12.5% is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the 30 days standard deviation of 38.3% in the last 5 years of Salesforce, we see it is relatively larger, thus worse in comparison to the benchmark SPY (20.9%)
  • Compared with SPY (17.3%) in the period of the last 3 years, the historical 30 days volatility of 36% is larger, 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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 25.8% in the last 5 years of Salesforce, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside volatility in of 24.6% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.6) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.29 of Salesforce is lower, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.28, which is lower, thus worse than the value of 0.51 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.'

Which means for our asset as example:
  • Looking at the ratio of annual return and downside deviation of 0.44 in the last 5 years of Salesforce, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.83)
  • During the last 3 years, the ratio of annual return and downside deviation is 0.41, which is lower, thus worse than the value of 0.74 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The Downside risk index over 5 years of Salesforce is 27 , which is greater, thus worse compared to the benchmark SPY (9.33 ) in the same period.
  • During the last 3 years, the Ulcer Index is 33 , which is greater, thus worse than the value of 10 from the benchmark.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:
  • The maximum drop from peak to valley over 5 years of Salesforce is -58.6 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 -58.6 days, which is lower, thus worse than the value of -24.5 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.'

Using this definition on our asset we see for example:
  • The maximum time in days below previous high water mark over 5 years of Salesforce is 579 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 579 days, which is higher, thus worse than the value of 488 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The average time in days below previous high water mark over 5 years of Salesforce is 184 days, which is higher, thus worse compared to the benchmark SPY (124 days) in the same period.
  • During the last 3 years, the average days under water is 238 days, which is larger, thus worse than the value of 181 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 Salesforce 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.