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:

'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 (101.9%) in the period of the last 5 years, the total return, or performance of 176.5% of US Sectors Long Lookback Sub-strategy is higher, thus better.
  • Compared with SPY (33.5%) in the period of the last 3 years, the total return, or performance of 48.4% is greater, thus better.

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.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of US Sectors Long Lookback Sub-strategy is 22.6%, which is larger, thus better compared to the benchmark SPY (15.1%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 14.1%, which is greater, thus better than the value of 10.1% from the benchmark.

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:
  • Looking at the volatility of 28.4% 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 (21%)
  • Compared with SPY (17.5%) in the period of the last 3 years, the 30 days standard deviation of 25.3% is higher, thus worse.

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.'

Which means for our asset as example:
  • The downside deviation over 5 years of US Sectors Long Lookback Sub-strategy is 20%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
  • Compared with SPY (12.3%) in the period of the last 3 years, the downside volatility of 18.1% is larger, thus worse.

Sharpe:

'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:
  • Looking at the Sharpe Ratio of 0.71 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 (0.6)
  • Compared with SPY (0.44) in the period of the last 3 years, the Sharpe Ratio of 0.46 is higher, thus better.

Sortino:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.84) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.01 of US Sectors Long Lookback Sub-strategy is greater, thus better.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.64, which is larger, thus better than the value of 0.62 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Ratio of 9.43 in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (9.32 )
  • Compared with SPY (10 ) in the period of the last 3 years, the Downside risk index of 10 is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -31.2 days of US Sectors Long Lookback Sub-strategy is higher, thus better.
  • During the last 3 years, the maximum drop from peak to valley is -26.1 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'

Applying this definition to our asset in some examples:
  • The maximum days under water over 5 years of US Sectors Long Lookback Sub-strategy is 294 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days under water 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.'

Applying this definition to our asset in some examples:
  • The average days below previous high over 5 years of US Sectors Long Lookback Sub-strategy is 62 days, which is lower, thus better compared to the benchmark SPY (122 days) in the same period.
  • Compared with SPY (177 days) in the period of the last 3 years, the average time in days below previous high water mark of 84 days is lower, thus better.

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 and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.