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:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 141.7% in the last 5 years of US sectors short lookback, we see it is relatively greater, thus better in comparison to the benchmark SPY (104.2%)
  • Looking at total return, or performance in of 18.8% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (62.9%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the compounded annual growth rate (CAGR) of 19.4% in the last 5 years of US sectors short lookback, we see it is relatively larger, thus better in comparison to the benchmark SPY (15.4%)
  • Looking at compounded annual growth rate (CAGR) in of 5.9% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (17.7%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.5%) in the period of the last 5 years, the 30 days standard deviation of 23.1% of US sectors short lookback is greater, thus worse.
  • Compared with SPY (17.2%) in the period of the last 3 years, the volatility of 20.6% is larger, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside volatility of 16.6% in the last 5 years of US sectors short lookback, we see it is relatively greater, thus worse in comparison to the benchmark SPY (12.1%)
  • Looking at downside deviation in of 15.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (11.4%).

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 risk / return profile (Sharpe) of 0.73 in the last 5 years of US sectors short lookback, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.74)
  • Compared with SPY (0.89) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.17 is lower, thus worse.

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:
  • The downside risk / excess return profile over 5 years of US sectors short lookback is 1.02, which is smaller, thus worse compared to the benchmark SPY (1.07) in the same period.
  • Looking at excess return divided by the downside deviation in of 0.23 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.33).

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:
  • Compared with the benchmark SPY (8.48 ) in the period of the last 5 years, the Ulcer Index of 11 of US sectors short lookback is higher, thus worse.
  • Looking at Ulcer Ratio in of 11 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (4.62 ).

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:
  • The maximum reduction from previous high over 5 years of US sectors short lookback is -29.2 days, which is smaller, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum reduction from previous high is -29.2 days, which is lower, thus worse than the value of -18.8 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) in days.'

Applying this definition to our asset in some examples:
  • The maximum days below previous high over 5 years of US sectors short lookback is 254 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (109 days) in the period of the last 3 years, the maximum days under water of 169 days is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days under water of 57 days of US sectors short lookback is smaller, thus better.
  • Compared with SPY (28 days) in the period of the last 3 years, the average days under water of 52 days is larger, thus worse.

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.