US sectors mean reversion

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.'

• The total return, or performance over 5 years of US sectors mean reversion is 47.1%, which is lower, thus worse compared to the benchmark SPY (87%) in the same period.
• Looking at total return, or performance in of -3.7% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (78.1%).

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 compounded annual growth rate (CAGR) of 8.1% in the last 5 years of US sectors mean reversion, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13.4%)
• Compared with SPY (21.3%) in the period of the last 3 years, the annual performance (CAGR) of -1.3% is lower, thus worse.

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.'

• The volatility over 5 years of US sectors mean reversion is 23%, which is larger, thus worse compared to the benchmark SPY (17.2%) in the same period.
• Compared with SPY (15.4%) in the period of the last 3 years, the 30 days standard deviation of 20.9% is higher, thus worse.

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 risk of 16.1% of US sectors mean reversion is greater, thus worse.
• During the last 3 years, the downside deviation is 14.7%, which is larger, thus worse than the value of 10.3% 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.'

• Compared with the benchmark SPY (0.63) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.24 of US sectors mean reversion is smaller, thus worse.
• During the last 3 years, the Sharpe Ratio is -0.18, which is smaller, thus worse than the value of 1.22 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.'

• 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 lower, thus worse in comparison to the benchmark SPY (0.92)
• Compared with SPY (1.82) in the period of the last 3 years, the excess return divided by the downside deviation of -0.26 is smaller, thus worse.

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 Index over 5 years of US sectors mean reversion is 10 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
• Looking at Ulcer Index in of 9.33 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (3.38 ).

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.'

• Looking at the maximum DrawDown of -26.1 days in the last 5 years of US sectors mean reversion, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (-24.5 days)
• Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -25.8 days is lower, thus worse.

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.'

• Looking at the maximum time in days below previous high water mark of 266 days in the last 5 years of US sectors mean reversion, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
• During the last 3 years, the maximum days below previous high is 238 days, which is larger, thus worse than the value of 87 days from the benchmark.

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 time in days below previous high water mark over 5 years of US sectors mean reversion is 92 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 89 days, which is greater, thus worse than the value of 18 days from the benchmark.