Description

A sub-strategy for the U.S. Sector strategy. It looks at momentum using a short lookback period to respond faster to changes in the market.

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.'

Which means for our asset as example:
  • Looking at the total return, or performance of 199.8% in the last 5 years of US sectors short lookback, we see it is relatively larger, thus better in comparison to the benchmark SPY (94.2%)
  • During the last 3 years, the total return is 79.6%, which is higher, thus better than the value of 27.9% from the benchmark.

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.'

Which means for our asset as example:
  • The annual performance (CAGR) over 5 years of US sectors short lookback is 24.6%, which is larger, thus better compared to the benchmark SPY (14.2%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 21.6%, which is greater, thus better than the value of 8.6% 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.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of US sectors short lookback is 26.2%, which is greater, thus worse compared to the benchmark SPY (20.9%) in the same period.
  • Looking at 30 days standard deviation in of 23.1% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (17.3%).

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 risk over 5 years of US sectors short lookback is 18.3%, 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 risk of 16.3% is greater, thus worse.

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:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.84 of US sectors short lookback is larger, thus better.
  • Compared with SPY (0.35) in the period of the last 3 years, the Sharpe Ratio of 0.82 is larger, 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:
  • Looking at the downside risk / excess return profile of 1.21 in the last 5 years of US sectors short lookback, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.78)
  • Looking at excess return divided by the downside deviation in of 1.17 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.5).

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:
  • The Downside risk index over 5 years of US sectors short lookback is 9.96 , which is higher, thus worse compared to the benchmark SPY (9.32 ) in the same period.
  • Looking at Ulcer Index in of 11 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10 ).

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 -37.3 days in the last 5 years of US sectors short lookback, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum reduction from previous high is -26.3 days, which is smaller, 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'

Which means for our asset as example:
  • Looking at the maximum days below previous high of 254 days in the last 5 years of US sectors short lookback, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 254 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 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 days under water of 51 days in the last 5 years of US sectors short lookback, we see it is relatively smaller, thus better in comparison to the benchmark SPY (123 days)
  • Compared with SPY (180 days) in the period of the last 3 years, the average time in days below previous high water mark of 63 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 short lookback 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.