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, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • The total return, or performance over 5 years of US Sectors Long Lookback Sub-strategy is 235.8%, which is higher, thus better compared to the benchmark SPY (97%) in the same period.
  • Compared with SPY (39.3%) in the period of the last 3 years, the total return of 84.2% is higher, 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:
  • Looking at the compounded annual growth rate (CAGR) of 27.5% in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively higher, thus better in comparison to the benchmark SPY (14.6%)
  • Compared with SPY (11.7%) in the period of the last 3 years, the annual return (CAGR) of 22.6% is higher, thus better.

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:
  • The 30 days standard deviation over 5 years of US Sectors Long Lookback Sub-strategy is 27.9%, which is larger, thus worse compared to the benchmark SPY (20.9%) in the same period.
  • Compared with SPY (17.5%) in the period of the last 3 years, the historical 30 days volatility of 26.3% 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:
  • Looking at the downside deviation of 19.5% in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15%)
  • During the last 3 years, the downside deviation is 18.4%, which is greater, thus worse than the value of 12.1% 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:
  • The ratio of return and volatility (Sharpe) over 5 years of US Sectors Long Lookback Sub-strategy is 0.89, which is greater, thus better compared to the benchmark SPY (0.58) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.77 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.53).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.8) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.28 of US Sectors Long Lookback Sub-strategy is greater, thus better.
  • Looking at downside risk / excess return profile in of 1.1 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.76).

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.'

Which means for our asset as example:
  • Looking at the Downside risk index of 9.2 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 )
  • Compared with SPY (10 ) in the period of the last 3 years, the Ulcer Ratio of 11 is larger, thus worse.

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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown of -31.2 days 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 (-33.7 days)
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum drop from peak to valley of -26.1 days is smaller, 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) in days.'

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 294 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum time in days below previous high water mark is 294 days, which is lower, thus better than the value of 488 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (123 days) in the period of the last 5 years, the average time in days below previous high water mark of 57 days of US Sectors Long Lookback Sub-strategy is smaller, thus better.
  • Looking at average days below previous high in of 80 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (181 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.