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 is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Applying this definition to our asset in some examples:
  • The total return, or increase in value over 5 years of US Sector Rotation Strategy is 45.6%, which is lower, thus worse compared to the benchmark SPY (75.1%) in the same period.
  • Compared with SPY (66.3%) in the period of the last 3 years, the total return, or performance of 19.5% is lower, thus worse.

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 (11.9%) in the period of the last 5 years, the annual return (CAGR) of 7.8% of US Sector Rotation Strategy is smaller, thus worse.
  • Looking at compounded annual growth rate (CAGR) in of 6.2% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (18.6%).

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the 30 days standard deviation of 11.5% of US Sector Rotation Strategy is lower, thus better.
  • Looking at volatility in of 9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (15.1%).

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:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside risk of 8.3% of US Sector Rotation Strategy is lower, thus better.
  • Looking at downside risk in of 6.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10.2%).

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 (0.55) in the period of the last 5 years, the Sharpe Ratio of 0.47 of US Sector Rotation Strategy is smaller, thus worse.
  • Looking at Sharpe Ratio in of 0.41 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.06).

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.'

Which means for our asset as example:
  • Looking at the excess return divided by the downside deviation of 0.64 in the last 5 years of US Sector Rotation Strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.8)
  • Looking at ratio of annual return and downside deviation in of 0.57 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.58).

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:
  • The Ulcer Index over 5 years of US Sector Rotation Strategy is 6.52 , which is lower, thus better compared to the benchmark SPY (8.44 ) in the same period.
  • During the last 3 years, the Downside risk index is 4.17 , which is larger, thus worse than the value of 3.49 from the benchmark.

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:
  • The maximum reduction from previous high over 5 years of US Sector Rotation Strategy is -16.4 days, which is higher, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • Looking at maximum drop from peak to valley in of -11.7 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-18.8 days).

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum time in days below previous high water mark of 507 days in the last 5 years of US Sector Rotation Strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (488 days)
  • Looking at maximum time in days below previous high water mark in of 270 days in the period of the last 3 years, we see it is relatively greater, 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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of US Sector Rotation Strategy is 151 days, which is larger, thus worse compared to the benchmark SPY (119 days) in the same period.
  • Looking at average time in days below previous high water mark in of 68 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (20 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.