A sub-strategy for the U.S. Sector strategy. It looks at momentum using a short lookback period to respond faster to changes in the market.

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.'

Which means for our asset as example:- The total return over 5 years of US sectors short lookback is 68.5%, which is smaller, thus worse compared to the benchmark SPY (122.1%) in the same period.
- Compared with SPY (43.5%) in the period of the last 3 years, the total return, or increase in value of 18.2% is lower, thus worse.

'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.'

Which means for our asset as example:- Compared with the benchmark SPY (17.3%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 11% of US sectors short lookback is lower, thus worse.
- Looking at compounded annual growth rate (CAGR) in of 5.8% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (12.8%).

'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.'

Using this definition on our asset we see for example:- Looking at the historical 30 days volatility of 17.1% in the last 5 years of US sectors short lookback, we see it is relatively lower, thus better in comparison to the benchmark SPY (18.8%)
- Looking at historical 30 days volatility in of 19.9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (22.9%).

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

Applying this definition to our asset in some examples:- The downside volatility over 5 years of US sectors short lookback is 12.2%, which is lower, thus better compared to the benchmark SPY (13.6%) in the same period.
- During the last 3 years, the downside volatility is 14.2%, which is lower, thus better than the value of 16.8% from the benchmark.

'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.'

Which means for our asset as example:- The risk / return profile (Sharpe) over 5 years of US sectors short lookback is 0.5, which is lower, thus worse compared to the benchmark SPY (0.79) in the same period.
- Looking at ratio of return and volatility (Sharpe) in of 0.16 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.45).

'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.'

Using this definition on our asset we see for example:- The ratio of annual return and downside deviation over 5 years of US sectors short lookback is 0.7, which is lower, thus worse compared to the benchmark SPY (1.09) in the same period.
- Looking at downside risk / excess return profile in of 0.23 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.61).

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (5.59 ) in the period of the last 5 years, the Ulcer Ratio of 5.4 of US sectors short lookback is lower, thus better.
- During the last 3 years, the Downside risk index is 6.51 , which is lower, thus better than the value of 7.15 from the benchmark.

'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.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -26.1 days of US sectors short lookback is greater, thus better.
- Looking at maximum DrawDown in of -26.1 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-33.7 days).

'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.'

Which means for our asset as example:- Compared with the benchmark SPY (139 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 201 days of US sectors short lookback is larger, thus worse.
- During the last 3 years, the maximum days below previous high is 143 days, which is larger, thus worse than the value of 139 days from the benchmark.

'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.'

Which means for our asset as example:- The average days under water over 5 years of US sectors short lookback is 54 days, which is larger, thus worse compared to the benchmark SPY (33 days) in the same period.
- Compared with SPY (45 days) in the period of the last 3 years, the average days under water of 46 days is higher, thus worse.

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of US sectors short lookback 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.