US sectors mean reversion

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.'

• The total return, or increase in value over 5 years of US sectors mean reversion is 46.4%, which is smaller, thus worse compared to the benchmark SPY (85.1%) in the same period.
• Compared with SPY (76.4%) in the period of the last 3 years, the total return, or increase in value of -7.8% is lower, thus worse.

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.'

• Looking at the annual return (CAGR) of 8% in the last 5 years of US sectors mean reversion, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (13.2%)
• During the last 3 years, the annual return (CAGR) is -2.7%, which is lower, thus worse than the value of 21% from the benchmark.

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.'

• The 30 days standard deviation over 5 years of US sectors mean reversion is 22.7%, which is larger, thus worse compared to the benchmark SPY (17.2%) in the same period.
• During the last 3 years, the 30 days standard deviation is 20.2%, which is larger, thus worse than the value of 15.3% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

• Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 16% of US sectors mean reversion is higher, thus worse.
• Looking at downside volatility in of 14.4% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (10.3%).

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.'

• Compared with the benchmark SPY (0.62) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.24 of US sectors mean reversion is lower, thus worse.
• Compared with SPY (1.21) in the period of the last 3 years, the Sharpe Ratio of -0.26 is lower, thus worse.

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.'

• Looking at the excess return divided by the downside deviation of 0.34 in the last 5 years of US sectors mean reversion, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.9)
• Looking at downside risk / excess return profile in of -0.36 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.8).

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.'

• The Ulcer Ratio over 5 years of US sectors mean reversion is 9.82 , which is higher, thus worse compared to the benchmark SPY (8.46 ) in the same period.
• Looking at Ulcer Index in of 9 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.52 ).

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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -26.1 days of US sectors mean reversion is smaller, thus worse.
• During the last 3 years, the maximum drop from peak to valley is -25.7 days, which is smaller, 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.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 266 days of US sectors mean reversion is smaller, thus better.
• Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 265 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.'

• The average days below previous high over 5 years of US sectors mean reversion is 91 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
• Compared with SPY (21 days) in the period of the last 3 years, the average time in days below previous high water mark of 96 days is larger, thus worse.