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.'

Applying this definition to our asset in some examples:
  • Looking at the total return of 77.5% in the last 5 years of US Sector Rotation Strategy, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (106.3%)
  • During the last 3 years, the total return, or performance is 9.9%, which is lower, thus worse than the value of 31.3% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Which means for our asset as example:
  • Compared with the benchmark SPY (15.6%) in the period of the last 5 years, the annual performance (CAGR) of 12.2% of US Sector Rotation Strategy is lower, thus worse.
  • During the last 3 years, the annual return (CAGR) is 3.2%, which is lower, thus worse than the value of 9.6% from the benchmark.

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:
  • Looking at the historical 30 days volatility of 12.3% in the last 5 years of US Sector Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (18%)
  • Looking at 30 days standard deviation in of 12.3% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (18.8%).

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk of 8.8% in the last 5 years of US Sector Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (12.5%)
  • Looking at downside deviation in of 9.1% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (13%).

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:
  • Looking at the risk / return profile (Sharpe) of 0.79 in the last 5 years of US Sector Rotation Strategy, we see it is relatively higher, thus better in comparison to the benchmark SPY (0.73)
  • During the last 3 years, the risk / return profile (Sharpe) is 0.06, which is smaller, thus worse than the value of 0.37 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 (1.05) in the period of the last 5 years, the excess return divided by the downside deviation of 1.1 of US Sector Rotation Strategy is greater, thus better.
  • 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 (0.54).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.44 ) in the period of the last 5 years, the Ulcer Index of 6.16 of US Sector Rotation Strategy is smaller, thus better.
  • Looking at Downside risk index in of 7.75 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (5.72 ).

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.'

Which means for our asset as example:
  • Looking at the maximum drop from peak to valley of -16.4 days in the last 5 years of US Sector Rotation Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (-24.5 days)
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -16.4 days is higher, 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:
  • 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 larger, thus worse in comparison to the benchmark SPY (488 days)
  • Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 507 days is higher, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days under water of 134 days of US Sector Rotation Strategy is higher, thus worse.
  • Compared with SPY (45 days) in the period of the last 3 years, the average time in days below previous high water mark of 195 days is larger, 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 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.