Description

The U.S. Sector strategy allocates dynamically between four long U.S. sector sub-strategies. Each of the four long sub-strategies use different momentum and mean reversion criteria

Due to the low correlation of these strategies, the combination creates a strategy with a considerably higher Sharpe Ratio than a simple sector rotation.

The strategy uses SPDR sector ETFs, but you can replace these with the corresponding sector ETFs or futures from other issuers.

US sectors have historically been good for trend following systems because each sector usually over or under performs for long periods at a time due to longer lasting economic cycles and not just short-term market fluctuations.

The economy itself is not a linear stable system, but swings between periods of expansion (growth) and contraction (recession). This results in a series of market cycles which are visualized in the following picture.

Source: http://www.nowandfutures.com (Global Business Cycles)

Each market cycle favors different industry sectors. The goal of a good working strategy is to choose the best performing sectors while avoiding or even shorting the worst performing sectors.

You can read the original strategy whitepaper for more details.

Methodology & Assets

U.S. industry sectors ETFs, their corresponding inverse or short sector ETFs and optional futures:

U.S. Sector ETF Inverse (leverage) Globex Futures
Materials XLB SMN (-2x) IXB
Energy XLE ERY (-3x) IXEe
Financial XLF SKF (-2x) IXM
Industrials XLI SIJ (-2x) IXI
Technology XLK REW (-2x) IXT
Consumer Staples XLP SZK (-2x) IXR
Real Estate XLRE SRS (-2x) -
Utilities XLU SDP (-2x) IXU
Health Care XLV RXD (-2x) IXV
Consumer Discretionary XLY SCC (-2x) IXY

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:
  • The total return, or performance over 5 years of US Sector Rotation Strategy is 119.1%, which is larger, thus better compared to the benchmark SPY (87.4%) in the same period.
  • During the last 3 years, the total return is 27.8%, which is larger, thus better than the value of 26.8% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (13.4%) in the period of the last 5 years, the annual return (CAGR) of 17% of US Sector Rotation Strategy is larger, thus better.
  • During the last 3 years, the annual performance (CAGR) is 8.5%, which is larger, thus better than the value of 8.2% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of US Sector Rotation Strategy is 12.8%, which is lower, thus better compared to the benchmark SPY (20.9%) in the same period.
  • Looking at 30 days standard deviation in of 12.7% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (17.3%).

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:
  • The downside deviation over 5 years of US Sector Rotation Strategy is 9.1%, which is lower, thus better compared to the benchmark SPY (15%) in the same period.
  • Looking at downside risk in of 9.2% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (12.1%).

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • The ratio of return and volatility (Sharpe) over 5 years of US Sector Rotation Strategy is 1.14, which is larger, thus better compared to the benchmark SPY (0.52) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.48, which is greater, thus better than the value of 0.33 from the benchmark.

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 downside risk / excess return profile of 1.59 in the last 5 years of US Sector Rotation Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.73)
  • Compared with SPY (0.47) in the period of the last 3 years, the excess return divided by the downside deviation of 0.66 is larger, thus better.

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:
  • The Downside risk index over 5 years of US Sector Rotation Strategy is 5.98 , which is lower, thus better compared to the benchmark SPY (9.33 ) in the same period.
  • Looking at Ulcer Index in of 7.36 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

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:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -16.4 days of US Sector Rotation Strategy is higher, thus better.
  • Compared with SPY (-24.5 days) in the period of the last 3 years, the maximum DrawDown of -16.4 days is greater, thus better.

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 Sector Rotation Strategy is 471 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum time in days below previous high water mark is 471 days, which is smaller, thus better than the value of 488 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:
  • Looking at the average days below previous high of 116 days in the last 5 years of US Sector Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (122 days)
  • During the last 3 years, the average days below previous high is 169 days, which is smaller, thus better than the value of 179 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 Sector Rotation Strategy 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.