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:
  • Compared with the benchmark SPY (81.7%) in the period of the last 5 years, the total return, or increase in value of 44.8% of US sectors mean reversion is lower, thus worse.
  • During the last 3 years, the total return, or increase in value is -4.4%, which is smaller, thus worse than the value of 77.6% 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.'

Which means for our asset as example:
  • Looking at the annual return (CAGR) of 7.7% in the last 5 years of US sectors mean reversion, we see it is relatively lower, thus worse in comparison to the benchmark SPY (12.7%)
  • Looking at annual performance (CAGR) in of -1.5% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (21.2%).

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.'

Using this definition on our asset we see for example:
  • Looking at the historical 30 days volatility of 23.1% in the last 5 years of US sectors mean reversion, we see it is relatively higher, thus worse in comparison to the benchmark SPY (17.2%)
  • During the last 3 years, the 30 days standard deviation is 20.9%, which is greater, thus worse than the value of 15.3% from the benchmark.

DownVol:

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

Which means for our asset as example:
  • Compared with the benchmark SPY (11.9%) in the period of the last 5 years, the downside volatility of 16.2% of US sectors mean reversion is larger, thus worse.
  • Compared with SPY (10.3%) in the period of the last 3 years, the downside volatility of 14.7% 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 (0.6) in the period of the last 5 years, the Sharpe Ratio of 0.23 of US sectors mean reversion is smaller, thus worse.
  • During the last 3 years, the Sharpe Ratio is -0.19, which is smaller, thus worse than the value of 1.22 from the benchmark.

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:
  • Compared with the benchmark SPY (0.86) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.32 of US sectors mean reversion is lower, thus worse.
  • Looking at ratio of annual return and downside deviation in of -0.27 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.83).

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (8.45 ) in the period of the last 5 years, the Downside risk index of 10 of US sectors mean reversion is larger, thus worse.
  • During the last 3 years, the Ulcer Index is 9.57 , which is higher, thus worse than the value of 3.36 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 reduction from previous high over 5 years of US sectors mean reversion is -26.1 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 DrawDown is -25.8 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.'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of US sectors mean reversion is 266 days, which is smaller, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days below previous high is 237 days, which is larger, thus worse than the value of 87 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 below previous high over 5 years of US sectors mean reversion is 94 days, which is lower, thus better compared to the benchmark SPY (118 days) in the same period.
  • Compared with SPY (17 days) in the period of the last 3 years, the average days below previous high of 71 days is greater, 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 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.