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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (79.3%) in the period of the last 5 years, the total return of 60.9% of US sectors mean reversion is lower, thus worse.
  • Looking at total return, or increase in value in of 11.5% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (87.4%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Compared with the benchmark SPY (12.4%) in the period of the last 5 years, the annual performance (CAGR) of 10% of US sectors mean reversion is lower, thus worse.
  • During the last 3 years, the annual performance (CAGR) is 3.7%, which is lower, thus worse than the value of 23.4% from the benchmark.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • The 30 days standard deviation over 5 years of US sectors mean reversion is 23.2%, which is larger, thus worse compared to the benchmark SPY (17.1%) in the same period.
  • Looking at 30 days standard deviation in of 21.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (15.2%).

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:
  • The downside deviation over 5 years of US sectors mean reversion is 16.2%, which is higher, thus worse compared to the benchmark SPY (11.8%) in the same period.
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside deviation of 14.5% is larger, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.58) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.32 of US sectors mean reversion is lower, thus worse.
  • Compared with SPY (1.37) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.06 is smaller, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Looking at the excess return divided by the downside deviation of 0.47 in the last 5 years of US sectors mean reversion, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.84)
  • Looking at excess return divided by the downside deviation in of 0.08 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (2.06).

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:
  • Looking at the Ulcer Index of 11 in the last 5 years of US sectors mean reversion, we see it is relatively larger, thus worse in comparison to the benchmark SPY (8.45 )
  • During the last 3 years, the Ulcer Index is 9.78 , which is greater, thus worse than the value of 3.2 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.'

Which means for our asset as example:
  • The maximum drop from peak to valley 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.
  • Looking at maximum DrawDown in of -25.8 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 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) in days.'

Applying this definition to our asset in some examples:
  • The maximum days under water over 5 years of US sectors mean reversion is 266 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum time in days below previous high water mark in of 237 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (87 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (118 days) in the period of the last 5 years, the average days below previous high of 98 days of US sectors mean reversion is lower, thus better.
  • Looking at average days under water in of 71 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17 days).

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.