Description of US sectors worst US sectors

A sub-strategy for the U.S. Sector strategy. It goes long the worst performing U.S. sectors assuming they may rebound. 

Methodology & Assets

See the main US Sector strategy for a detailed asset description.

Statistics of US sectors worst US sectors (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, or increase in value of 154.3% in the last 5 years of US sectors worst US sectors, we see it is relatively larger, thus better in comparison to the benchmark SPY (71.7%)
  • Looking at total return, or performance in of 65% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (45.2%).

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 (11.4%) in the period of the last 5 years, the annual performance (CAGR) of 20.5% of US sectors worst US sectors is larger, thus better.
  • During the last 3 years, the annual return (CAGR) is 18.2%, which is larger, thus better than the value of 13.2% 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the 30 days standard deviation of 15.2% of US sectors worst US sectors is larger, thus worse.
  • Looking at historical 30 days volatility in of 12.9% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12.9%).

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 volatility over 5 years of US sectors worst US sectors is 15.8%, which is higher, thus worse compared to the benchmark SPY (14.9%) in the same period.
  • Compared with SPY (14.6%) in the period of the last 3 years, the downside volatility of 13.8% is smaller, thus better.

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Applying this definition to our asset in some examples:
  • The risk / return profile (Sharpe) over 5 years of US sectors worst US sectors is 1.19, which is greater, thus better compared to the benchmark SPY (0.66) in the same period.
  • During the last 3 years, the risk / return profile (Sharpe) is 1.21, which is higher, thus better than the value of 0.83 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.'

Using this definition on our asset we see for example:
  • The ratio of annual return and downside deviation over 5 years of US sectors worst US sectors is 1.14, which is higher, thus better compared to the benchmark SPY (0.6) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 1.14, which is higher, thus better than the value of 0.74 from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the Downside risk index of 3.62 in the last 5 years of US sectors worst US sectors, we see it is relatively smaller, thus better in comparison to the benchmark SPY (3.99 )
  • Compared with SPY (4.1 ) in the period of the last 3 years, the Downside risk index of 3.07 is lower, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-19.3 days) in the period of the last 5 years, the maximum drop from peak to valley of -14.9 days of US sectors worst US sectors is larger, thus better.
  • Looking at maximum DrawDown in of -14.9 days in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (-19.3 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.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 129 days in the last 5 years of US sectors worst US sectors, we see it is relatively lower, thus better in comparison to the benchmark SPY (187 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 124 days is lower, thus better.

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:
  • The average time in days below previous high water mark over 5 years of US sectors worst US sectors is 27 days, which is smaller, thus better compared to the benchmark SPY (41 days) in the same period.
  • Compared with SPY (35 days) in the period of the last 3 years, the average days under water of 27 days is smaller, thus better.

Performance of US sectors worst US sectors (YTD)

Historical returns have been extended using synthetic data.

Allocations of US sectors worst US sectors
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Allocations

Returns of US sectors worst US sectors (%)

  • "Year" returns in the table above are not equal to the sum of monthly returns due to compounding.
  • Performance results of US sectors worst US sectors 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.