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:

'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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 288.2% in the last 5 years of US sectors mean reversion, we see it is relatively greater, thus better in comparison to the benchmark SPY (67.8%)
  • Looking at total return, or increase in value in of 125.3% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (44.5%).

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (10.9%) in the period of the last 5 years, the annual return (CAGR) of 31.2% of US sectors mean reversion is larger, thus better.
  • Looking at annual performance (CAGR) in of 31.1% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (13.1%).

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 volatility over 5 years of US sectors mean reversion is 27.1%, which is higher, thus worse compared to the benchmark SPY (21.4%) in the same period.
  • Looking at volatility in of 25.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (18.8%).

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 risk of 18.2% in the last 5 years of US sectors mean reversion, we see it is relatively greater, thus worse in comparison to the benchmark SPY (15.4%)
  • Looking at downside deviation in of 17.4% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (13.3%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.39) in the period of the last 5 years, the Sharpe Ratio of 1.06 of US sectors mean reversion is greater, thus better.
  • Looking at risk / return profile (Sharpe) in of 1.14 in the period of the last 3 years, we see it is relatively larger, thus better 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.'

Which means for our asset as example:
  • Looking at the downside risk / excess return profile of 1.58 in the last 5 years of US sectors mean reversion, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.55)
  • Compared with SPY (0.79) in the period of the last 3 years, the downside risk / excess return profile of 1.65 is greater, thus better.

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 (9.46 ) in the period of the last 5 years, the Downside risk index of 7.92 of US sectors mean reversion is smaller, thus better.
  • Compared with SPY (10 ) in the period of the last 3 years, the Downside risk index of 9.2 is lower, thus better.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Using this definition on our asset we see for example:
  • Looking at the maximum drop from peak to valley of -28.9 days in the last 5 years of US sectors mean reversion, we see it is relatively larger, thus better in comparison to the benchmark SPY (-33.7 days)
  • Looking at maximum reduction from previous high in of -26.1 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-24.5 days).

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:
  • The maximum time in days below previous high water mark over 5 years of US sectors mean reversion is 244 days, which is lower, thus better compared to the benchmark SPY (352 days) in the same period.
  • During the last 3 years, the maximum days under water is 244 days, which is lower, thus better than the value of 352 days from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 41 days in the last 5 years of US sectors mean reversion, we see it is relatively lower, thus better in comparison to the benchmark SPY (78 days)
  • Compared with SPY (102 days) in the period of the last 3 years, the average days under water of 54 days is smaller, 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 mean reversion 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.