Description

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 (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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (74.4%) in the period of the last 5 years, the total return, or performance of 117.4% of US sectors worst US sectors is higher, thus better.
  • Looking at total return, or performance in of 49.1% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (34.2%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the annual return (CAGR) of 16.8% of US sectors worst US sectors is higher, thus better.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 14.3%, which is greater, thus better than the value of 10.3% from the benchmark.

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 historical 30 days volatility of 18.8% 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 (18.9%)
  • During the last 3 years, the volatility is 21.8%, which is lower, thus better than the value of 22.6% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the downside volatility of 12.8% 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 (13.8%)
  • During the last 3 years, the downside deviation is 15%, which is smaller, thus better than the value of 16.7% from the benchmark.

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 (0.49) in the period of the last 5 years, the Sharpe Ratio of 0.76 of US sectors worst US sectors is greater, thus better.
  • During the last 3 years, the Sharpe Ratio is 0.54, which is higher, thus better than the value of 0.35 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.67) in the period of the last 5 years, the downside risk / excess return profile of 1.12 of US sectors worst US sectors is greater, thus better.
  • Looking at ratio of annual return and downside deviation in of 0.78 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.47).

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.'

Which means for our asset as example:
  • The Ulcer Ratio over 5 years of US sectors worst US sectors is 7.08 , which is larger, thus worse compared to the benchmark SPY (5.82 ) in the same period.
  • Looking at Ulcer Index in of 8.72 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (7.13 ).

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:
  • The maximum reduction from previous high over 5 years of US sectors worst US sectors is -37.3 days, which is smaller, thus worse compared to the benchmark SPY (-33.7 days) in the same period.
  • Compared with SPY (-33.7 days) in the period of the last 3 years, the maximum drop from peak to valley of -37.3 days is smaller, thus worse.

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'

Applying this definition to our asset in some examples:
  • Looking at the maximum days under water of 206 days 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 (139 days)
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 206 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (37 days) in the period of the last 5 years, the average time in days below previous high water mark of 43 days of US sectors worst US sectors is larger, thus worse.
  • During the last 3 years, the average days below previous high is 51 days, which is larger, thus worse than the value of 45 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal 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.