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.'

Applying this definition to our asset in some examples:
  • Looking at the total return, or increase in value of 137.1% in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (107.5%)
  • Compared with SPY (78.7%) in the period of the last 3 years, the total return of 22.5% is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The annual return (CAGR) over 5 years of US Sectors Long Lookback Sub-strategy is 18.9%, which is higher, thus better compared to the benchmark SPY (15.8%) in the same period.
  • During the last 3 years, the annual return (CAGR) is 7%, which is lower, thus worse than the value of 21.5% 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:
  • The 30 days standard deviation over 5 years of US Sectors Long Lookback Sub-strategy is 23.9%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 20.1%, which is higher, thus worse than the value of 15.6% from the benchmark.

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:
  • The downside deviation over 5 years of US Sectors Long Lookback Sub-strategy is 16.8%, which is higher, thus worse compared to the benchmark SPY (11.7%) in the same period.
  • During the last 3 years, the downside deviation is 14.5%, which is greater, thus worse than the value of 10.4% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of US Sectors Long Lookback Sub-strategy is 0.69, which is smaller, thus worse compared to the benchmark SPY (0.78) in the same period.
  • Compared with SPY (1.21) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.23 is lower, thus worse.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Which means for our asset as example:
  • Looking at the downside risk / excess return profile of 0.98 in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (1.13)
  • Compared with SPY (1.83) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.31 is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Ratio of 9.95 of US Sectors Long Lookback Sub-strategy is larger, thus worse.
  • During the last 3 years, the Ulcer Index is 11 , which is higher, thus worse than the value of 3.61 from the benchmark.

MaxDD:

'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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -26.5 days of US Sectors Long Lookback Sub-strategy is lower, thus worse.
  • Looking at maximum reduction from previous high in of -26.5 days in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (-18.8 days).

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 below previous high over 5 years of US Sectors Long Lookback Sub-strategy is 300 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days under water is 300 days, which is greater, thus worse than the value of 87 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.'

Applying this definition to our asset in some examples:
  • Looking at the average time in days below previous high water mark of 90 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 (120 days)
  • During the last 3 years, the average days below previous high is 126 days, which is greater, thus worse than the value of 21 days from the benchmark.

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.