Automatic Data Processing (ADP)

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.'

• Compared with the benchmark SPY (154.3%) in the period of the last 5 years, the total return, or performance of 182.8% of Automatic Data Processing is larger, thus better.
• During the last 3 years, the total return, or increase in value is 48.3%, which is greater, thus better than the value of 32.9% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

• Looking at the annual return (CAGR) of 23.2% in the last 5 years of Automatic Data Processing, we see it is relatively larger, thus better in comparison to the benchmark SPY (20.6%)
• Compared with SPY (10%) in the period of the last 3 years, the annual return (CAGR) of 14.1% 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.'

• Looking at the historical 30 days volatility of 24.6% in the last 5 years of Automatic Data Processing, we see it is relatively higher, thus worse in comparison to the benchmark SPY (18.4%)
• During the last 3 years, the volatility is 21.2%, which is larger, thus worse than the value of 17% from the benchmark.

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.'

• The downside risk over 5 years of Automatic Data Processing is 16.7%, which is higher, thus worse compared to the benchmark SPY (12.4%) in the same period.
• During the last 3 years, the downside volatility is 15%, which is greater, thus worse than the value of 12% from the benchmark.

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.'

• The risk / return profile (Sharpe) over 5 years of Automatic Data Processing is 0.84, which is lower, thus worse compared to the benchmark SPY (0.99) in the same period.
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.55, which is larger, thus better than the value of 0.44 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.'

• The excess return divided by the downside deviation over 5 years of Automatic Data Processing is 1.24, which is lower, thus worse compared to the benchmark SPY (1.46) in the same period.
• Compared with SPY (0.62) in the period of the last 3 years, the downside risk / excess return profile of 0.78 is larger, thus better.

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.'

• Looking at the Ulcer Index of 9.32 in the last 5 years of Automatic Data Processing, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.29 )
• Compared with SPY (8.63 ) in the period of the last 3 years, the Downside risk index of 9.91 is higher, 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.'

• The maximum reduction from previous high over 5 years of Automatic Data Processing is -21.8 days, which is larger, thus better compared to the benchmark SPY (-24.5 days) in the same period.
• During the last 3 years, the maximum DrawDown is -21.8 days, which is higher, thus better than the value of -22.1 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.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 414 days of Automatic Data Processing is lower, thus better.
• Looking at maximum days under water in of 414 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (325 days).

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.'

• The average time in days below previous high water mark over 5 years of Automatic Data Processing is 97 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
• During the last 3 years, the average days below previous high is 134 days, which is larger, thus worse than the value of 89 days from the benchmark.