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:

'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 (94.2%) in the period of the last 5 years, the total return, or performance of 107% of US Sector Rotation Strategy is higher, thus better.
  • During the last 3 years, the total return is 30.5%, which is larger, thus better than the value of 27.9% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (14.2%) in the period of the last 5 years, the annual performance (CAGR) of 15.7% of US Sector Rotation Strategy is higher, thus better.
  • Looking at annual performance (CAGR) in of 9.3% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (8.6%).

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:
  • Looking at the 30 days standard deviation of 12.8% in the last 5 years of US Sector Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (20.9%)
  • Compared with SPY (17.3%) in the period of the last 3 years, the historical 30 days volatility of 12.6% is lower, thus better.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside deviation of 9.2% of US Sector Rotation Strategy is lower, thus better.
  • During the last 3 years, the downside volatility is 9.1%, which is lower, thus better than the value of 12.1% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the ratio of return and volatility (Sharpe) of 1.03 in the last 5 years of US Sector Rotation Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (0.56)
  • Compared with SPY (0.35) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.54 is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • The ratio of annual return and downside deviation over 5 years of US Sector Rotation Strategy is 1.44, which is larger, thus better compared to the benchmark SPY (0.78) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 0.75, which is greater, thus better than the value of 0.5 from the benchmark.

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.'

Using this definition on our asset we see for example:
  • Looking at the Ulcer Index of 6.01 in the last 5 years of US Sector Rotation Strategy, we see it is relatively smaller, thus better in comparison to the benchmark SPY (9.32 )
  • Looking at Ulcer Index in of 7.32 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:
  • 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 larger, thus better.
  • During the last 3 years, the maximum reduction from previous high is -16.4 days, which is greater, thus better than the value of -24.5 days from the benchmark.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Using this definition on our asset we see for example:
  • The maximum days under water over 5 years of US Sector Rotation Strategy is 507 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (488 days) in the period of the last 3 years, the maximum days below previous high of 507 days is greater, thus worse.

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.'

Which means for our asset as example:
  • The average time in days below previous high water mark over 5 years of US Sector Rotation Strategy is 131 days, which is greater, thus worse compared to the benchmark SPY (123 days) in the same period.
  • Looking at average days under water in of 189 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (180 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 Sector Rotation Strategy 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.