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.'

Which means for our asset as example:
  • The total return, or performance over 5 years of US sectors worst US sectors is 163.2%, which is larger, thus better compared to the benchmark SPY (68.7%) in the same period.
  • Compared with SPY (47.9%) in the period of the last 3 years, the total return, or increase in value of 71.9% is higher, thus better.

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:
  • The annual return (CAGR) over 5 years of US sectors worst US sectors is 21.4%, which is higher, thus better compared to the benchmark SPY (11%) in the same period.
  • Compared with SPY (14%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 19.8% is higher, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the volatility of 15.4% in the last 5 years of US sectors worst US sectors, we see it is relatively larger, thus worse in comparison to the benchmark SPY (13.3%)
  • Compared with SPY (12.5%) in the period of the last 3 years, the volatility of 12.6% is higher, thus worse.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk of 15.9% in the last 5 years of US sectors worst US sectors, we see it is relatively greater, thus worse in comparison to the benchmark SPY (14.6%)
  • Looking at downside deviation in of 13.4% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (14.2%).

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:
  • Compared with the benchmark SPY (0.64) in the period of the last 5 years, the Sharpe Ratio of 1.23 of US sectors worst US sectors is larger, thus better.
  • Compared with SPY (0.91) in the period of the last 3 years, the Sharpe Ratio of 1.37 is greater, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.58) in the period of the last 5 years, the excess return divided by the downside deviation of 1.18 of US sectors worst US sectors is larger, thus better.
  • During the last 3 years, the downside risk / excess return profile is 1.29, which is larger, thus better than the value of 0.81 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.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of US sectors worst US sectors is 3.63 , which is smaller, thus worse compared to the benchmark SPY (3.96 ) in the same period.
  • Looking at Ulcer Ratio in of 3.54 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (4.01 ).

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.'

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 higher, thus better.
  • Looking at maximum drop from peak to valley in of -14.9 days in the period of the last 3 years, we see it is relatively larger, 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). 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'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (187 days) in the period of the last 5 years, the maximum days under water of 129 days of US sectors worst US sectors is smaller, thus better.
  • Looking at maximum days below previous high in of 129 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (139 days).

AveDuration:

'The Average 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. 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 days under water over 5 years of US sectors worst US sectors is 26 days, which is lower, thus better compared to the benchmark SPY (41 days) in the same period.
  • During the last 3 years, the average days under water is 35 days, which is smaller, thus better than the value of 36 days from the benchmark.

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.