Description

A sub-strategy for the U.S. Sector strategy. It works with short term mean reversion criteria thus penalizing recent winners and favoring sectors that have recently corrected.

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:
  • Compared with the benchmark SPY (94.9%) in the period of the last 5 years, the total return of 172.2% of US sectors mean reversion is greater, thus better.
  • Compared with SPY (40.7%) in the period of the last 3 years, the total return, or performance of 21.1% is lower, thus worse.

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 annual performance (CAGR) of 22.2% in the last 5 years of US sectors mean reversion, we see it is relatively larger, thus better in comparison to the benchmark SPY (14.3%)
  • Compared with SPY (12.1%) in the period of the last 3 years, the annual performance (CAGR) of 6.6% is lower, thus worse.

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:
  • Compared with the benchmark SPY (21%) in the period of the last 5 years, the volatility of 27.7% of US sectors mean reversion is greater, thus worse.
  • Compared with SPY (17.3%) in the period of the last 3 years, the 30 days standard deviation of 23.3% is greater, thus worse.

DownVol:

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

Applying this definition to our asset in some examples:
  • Looking at the downside risk of 18.8% in the last 5 years of US sectors mean reversion, we see it is relatively higher, thus worse in comparison to the benchmark SPY (15%)
  • Looking at downside deviation in of 16.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12.1%).

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 ratio of return and volatility (Sharpe) over 5 years of US sectors mean reversion is 0.71, which is greater, thus better compared to the benchmark SPY (0.56) in the same period.
  • Looking at ratio of return and volatility (Sharpe) in of 0.18 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.56).

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 1.05 in the last 5 years of US sectors mean reversion, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.79)
  • Looking at ratio of annual return and downside deviation in of 0.25 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.8).

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 (9.33 ) in the period of the last 5 years, the Ulcer Index of 8.52 of US sectors mean reversion is lower, thus better.
  • During the last 3 years, the Downside risk index is 9.96 , which is greater, thus worse than the value of 8.61 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.'

Applying this definition to our asset in some examples:
  • The maximum drop from peak to valley over 5 years of US sectors mean reversion is -28.9 days, which is larger, thus better compared to the benchmark SPY (-33.7 days) in the same period.
  • During the last 3 years, the maximum reduction from previous high is -26.1 days, which is lower, thus worse than the value of -22.1 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:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 266 days of US sectors mean reversion is smaller, thus better.
  • During the last 3 years, the maximum time in days below previous high water mark is 266 days, which is lower, thus better than the value of 325 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:
  • The average days under water over 5 years of US sectors mean reversion is 70 days, which is smaller, thus better compared to the benchmark SPY (121 days) in the same period.
  • During the last 3 years, the average days below previous high is 102 days, which is higher, thus worse than the value of 89 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 mean reversion 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.