Description

A sub-strategy for the U.S. Sector strategy. It looks at momentum using a long lookback period to catch longer term trends across U.S. sectors.

Methodology & Assets

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

Statistics (YTD)

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

TotalReturn:

'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:
  • Compared with the benchmark SPY (87.1%) in the period of the last 5 years, the total return of 227% of US Sectors Long Lookback Sub-strategy is higher, thus better.
  • During the last 3 years, the total return, or performance is 63.8%, which is greater, thus better than the value of 26.8% 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.'

Which means for our asset as example:
  • Looking at the annual performance (CAGR) of 26.8% in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (13.4%)
  • Looking at annual performance (CAGR) in of 17.9% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (8.3%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the 30 days standard deviation of 28% in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (20.9%)
  • During the last 3 years, the historical 30 days volatility is 26.2%, which is larger, thus worse than the value of 17.3% from the benchmark.

DownVol:

'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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of US Sectors Long Lookback Sub-strategy is 19.6%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (12.1%) in the period of the last 3 years, the downside deviation of 18.4% is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • The ratio of return and volatility (Sharpe) over 5 years of US Sectors Long Lookback Sub-strategy is 0.87, which is larger, thus better compared to the benchmark SPY (0.52) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.59 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.33).

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:
  • The downside risk / excess return profile over 5 years of US Sectors Long Lookback Sub-strategy is 1.24, which is higher, thus better compared to the benchmark SPY (0.72) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.84, which is larger, thus better than the value of 0.48 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Which means for our asset as example:
  • Looking at the Ulcer Index of 9.21 in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively lower, thus better 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 higher, thus worse in comparison to SPY (10 ).

MaxDD:

'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.'

Using this definition on our asset we see for example:
  • The maximum reduction from previous high over 5 years of US Sectors Long Lookback Sub-strategy is -31.2 days, which is greater, thus better compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum reduction from previous high of -26.1 days is lower, thus worse.

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'

Using this definition on our asset we see for example:
  • Looking at the maximum days under water of 294 days in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 294 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (488 days).

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.'

Which means for our asset as example:
  • The average time in days below previous high water mark over 5 years of US Sectors Long Lookback Sub-strategy is 57 days, which is smaller, thus better compared to the benchmark SPY (122 days) in the same period.
  • Looking at average days under water in of 80 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (179 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of US Sectors Long Lookback Sub-strategy 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.