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:
  • The total return, or increase in value over 5 years of US Sectors Long Lookback Sub-strategy is 62.5%, which is lower, thus worse compared to the benchmark SPY (91.2%) in the same period.
  • During the last 3 years, the total return is 25.6%, which is lower, thus worse than the value of 41.5% 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.'

Using this definition on our asset we see for example:
  • Looking at the compounded annual growth rate (CAGR) of 10.2% 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 (13.8%)
  • During the last 3 years, the compounded annual growth rate (CAGR) is 7.9%, which is smaller, thus worse than the value of 12.3% 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 volatility over 5 years of US Sectors Long Lookback Sub-strategy is 19.3%, which is larger, thus worse compared to the benchmark SPY (18.8%) in the same period.
  • During the last 3 years, the volatility is 23.1%, which is greater, thus worse than the value of 22.4% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Using this definition on our asset we see for example:
  • The downside volatility over 5 years of US Sectors Long Lookback Sub-strategy is 13.7%, which is larger, thus worse compared to the benchmark SPY (13.7%) in the same period.
  • Looking at downside volatility in of 16.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.5%).

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 0.4, which is lower, thus worse compared to the benchmark SPY (0.6) in the same period.
  • Compared with SPY (0.44) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.23 is lower, thus worse.

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:
  • Looking at the ratio of annual return and downside deviation of 0.56 in the last 5 years of US Sectors Long Lookback Sub-strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.83)
  • During the last 3 years, the excess return divided by the downside deviation is 0.33, which is lower, thus worse than the value of 0.59 from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the Ulcer Index of 6.93 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 (5.79 )
  • Compared with SPY (7.09 ) in the period of the last 3 years, the Ulcer Ratio of 8.58 is higher, 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:
  • The maximum reduction from previous high over 5 years of US Sectors Long Lookback Sub-strategy is -36.1 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum DrawDown of -36.1 days is lower, 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.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 352 days 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 (139 days)
  • During the last 3 years, the maximum days under water is 352 days, which is higher, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (37 days) in the period of the last 5 years, the average time in days below previous high water mark of 84 days of US Sectors Long Lookback Sub-strategy is larger, thus worse.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 115 days is larger, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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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.