US sectors short lookback

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 short lookback is 198.1%, which is greater, thus better compared to the benchmark SPY (86.8%) in the same period.
• During the last 3 years, the total return, or performance is 96%, which is higher, thus better than the value of 26.3% 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.'

• The annual return (CAGR) over 5 years of US sectors short lookback is 24.4%, which is larger, thus better compared to the benchmark SPY (13.3%) in the same period.
• During the last 3 years, the compounded annual growth rate (CAGR) is 25.2%, which is higher, thus better than the value of 8.1% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

• Looking at the historical 30 days volatility of 26.2% in the last 5 years of US sectors short lookback, we see it is relatively higher, thus worse in comparison to the benchmark SPY (20.9%)
• During the last 3 years, the 30 days standard deviation is 23.2%, which is higher, thus worse than the value of 17.3% 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 volatility over 5 years of US sectors short lookback is 18.4%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
• Looking at downside volatility in of 16.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12.1%).

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 (0.52) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.84 of US sectors short lookback is greater, thus better.
• Compared with SPY (0.32) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.98 is greater, thus better.

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.'

• Looking at the excess return divided by the downside deviation of 1.19 in the last 5 years of US sectors short lookback, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.72)
• Looking at ratio of annual return and downside deviation in of 1.39 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.46).

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 Downside risk index of 9.95 in the last 5 years of US sectors short lookback, we see it is relatively greater, thus worse in comparison to the benchmark SPY (9.33 )
• Looking at Downside risk index in of 11 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (10 ).

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 (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -37.3 days of US sectors short lookback is lower, thus worse.
• During the last 3 years, the maximum DrawDown is -26.3 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

• Looking at the maximum days below previous high of 254 days in the last 5 years of US sectors short lookback, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
• During the last 3 years, the maximum days below previous high is 254 days, which is lower, thus better than the value of 488 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.'

• Looking at the average days below previous high of 53 days in the last 5 years of US sectors short lookback, we see it is relatively smaller, thus better in comparison to the benchmark SPY (122 days)
• During the last 3 years, the average days under water is 60 days, which is smaller, thus better than the value of 178 days from the benchmark.