A sub-strategy for the U.S. Sector strategy.

See the main US Sector strategy for a detailed asset description.

'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.'

Applying this definition to our asset in some examples:- The total return over 5 years of US sectors low volatility is 73.5%, which is greater, thus better compared to the benchmark SPY (62.6%) in the same period.
- Looking at total return, or performance in of 36.9% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (32.1%).

'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.'

Applying this definition to our asset in some examples:- The compounded annual growth rate (CAGR) over 5 years of US sectors low volatility is 11.7%, which is higher, thus better compared to the benchmark SPY (10.2%) in the same period.
- Looking at compounded annual growth rate (CAGR) in of 11% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (9.7%).

'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.'

Which means for our asset as example:- The 30 days standard deviation over 5 years of US sectors low volatility is 18.5%, which is smaller, thus better compared to the benchmark SPY (21.5%) in the same period.
- Compared with SPY (24.8%) in the period of the last 3 years, the historical 30 days volatility of 20.8% is smaller, thus better.

'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.'

Which means for our asset as example:- Compared with the benchmark SPY (15.6%) in the period of the last 5 years, the downside volatility of 13.3% of US sectors low volatility is lower, thus better.
- Compared with SPY (17.9%) in the period of the last 3 years, the downside risk of 14.9% is lower, thus better.

'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.'

Using this definition on our asset we see for example:- Looking at the risk / return profile (Sharpe) of 0.5 in the last 5 years of US sectors low volatility, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.36)
- Compared with SPY (0.29) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.41 is larger, thus better.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (0.5) in the period of the last 5 years, the downside risk / excess return profile of 0.69 of US sectors low volatility is greater, thus better.
- Compared with SPY (0.4) in the period of the last 3 years, the excess return divided by the downside deviation of 0.57 is larger, thus better.

'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.'

Which means for our asset as example:- Compared with the benchmark SPY (8.52 ) in the period of the last 5 years, the Ulcer Ratio of 6.43 of US sectors low volatility is smaller, thus better.
- Looking at Downside risk index in of 7.07 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

'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.'

Which means for our asset as example:- The maximum DrawDown over 5 years of US sectors low volatility is -26.1 days, which is larger, thus better compared to the benchmark SPY (-33.7 days) in the same period.
- During the last 3 years, the maximum DrawDown is -26.1 days, which is greater, thus better than the value of -33.7 days from the benchmark.

'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'

Using this definition on our asset we see for example:- Looking at the maximum days below previous high of 213 days in the last 5 years of US sectors low volatility, we see it is relatively lower, thus better in comparison to the benchmark SPY (235 days)
- Compared with SPY (235 days) in the period of the last 3 years, the maximum days below previous high of 161 days is smaller, thus better.

'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 days below previous high over 5 years of US sectors low volatility is 52 days, which is lower, thus better compared to the benchmark SPY (55 days) in the same period.
- During the last 3 years, the average time in days below previous high water mark is 45 days, which is lower, thus better than the value of 59 days from the benchmark.

Historical returns have been extended using synthetic data.
[Show Details]

Allocations and holdings shown below are delayed by one month.

Register now to get the current trading allocations.

- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of US sectors low volatility 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.