Description of US sectors short lookback

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.

Methodology & Assets

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

Statistics of US sectors short lookback (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (68.7%) in the period of the last 5 years, the total return, or performance of 87.2% of US sectors short lookback is larger, thus better.
  • During the last 3 years, the total return, or increase in value is 42.9%, which is lower, thus worse than the value of 47.9% from the benchmark.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 13.4% in the last 5 years of US sectors short lookback, we see it is relatively greater, thus better in comparison to the benchmark SPY (11%)
  • During the last 3 years, the annual return (CAGR) is 12.7%, which is lower, thus worse than the value of 14% 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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 14.7% in the last 5 years of US sectors short lookback, we see it is relatively higher, thus worse in comparison to the benchmark SPY (13.3%)
  • Looking at volatility in of 14.2% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12.5%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 16% in the last 5 years of US sectors short lookback, we see it is relatively higher, thus worse in comparison to the benchmark SPY (14.6%)
  • During the last 3 years, the downside risk is 15.6%, which is greater, thus worse than the value of 14.2% from the benchmark.

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 0.74 in the last 5 years of US sectors short lookback, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.64)
  • Looking at ratio of return and volatility (Sharpe) in of 0.72 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.91).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.58) in the period of the last 5 years, the excess return divided by the downside deviation of 0.68 of US sectors short lookback is larger, thus better.
  • Looking at excess return divided by the downside deviation in of 0.65 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.81).

Ulcer:

'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.'

Using this definition on our asset we see for example:
  • The Ulcer Ratio over 5 years of US sectors short lookback is 5.57 , which is larger, thus better compared to the benchmark SPY (3.96 ) in the same period.
  • Compared with SPY (4.01 ) in the period of the last 3 years, the Ulcer Index of 6.01 is larger, thus better.

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum drop from peak to valley of -20.7 days of US sectors short lookback is lower, thus worse.
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum DrawDown of -20.7 days is smaller, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days below previous high of 196 days of US sectors short lookback is higher, thus worse.
  • During the last 3 years, the maximum days below previous high is 157 days, which is greater, thus worse than the value of 139 days from the benchmark.

AveDuration:

'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.'

Using this definition on our asset we see for example:
  • The average days below previous high over 5 years of US sectors short lookback is 51 days, which is larger, thus worse compared to the benchmark SPY (41 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 48 days, which is higher, thus worse than the value of 36 days from the benchmark.

Performance of US sectors short lookback (YTD)

Historical returns have been extended using synthetic data.

Allocations of US sectors short lookback
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Allocations

Returns of US sectors short lookback (%)

  • "Year" returns in the table above are not equal to 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.