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:

'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.'

Using this definition on our asset we see for example:
  • Looking at the total return of 49.9% in the last 5 years of US sectors worst US sectors, we see it is relatively lower, thus worse in comparison to the benchmark SPY (83.7%)
  • Looking at total return in of 35.1% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (74.4%).

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:
  • Looking at the compounded annual growth rate (CAGR) of 8.5% in the last 5 years of US sectors worst US sectors, we see it is relatively lower, thus worse in comparison to the benchmark SPY (13%)
  • Compared with SPY (20.5%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 10.6% is smaller, thus worse.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the volatility of 15.2% of US sectors worst US sectors is lower, thus better.
  • Looking at volatility in of 13.5% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (15.3%).

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:
  • Looking at the downside deviation of 10.5% 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 (11.8%)
  • Compared with SPY (10.3%) in the period of the last 3 years, the downside deviation of 9.4% is smaller, thus better.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.61) in the period of the last 5 years, the Sharpe Ratio of 0.39 of US sectors worst US sectors is smaller, thus worse.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.6, which is lower, thus worse than the value of 1.18 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 (0.89) in the period of the last 5 years, the downside risk / excess return profile of 0.57 of US sectors worst US sectors is smaller, thus worse.
  • Looking at downside risk / excess return profile in of 0.86 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.75).

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.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 8.11 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 (8.46 )
  • During the last 3 years, the Ulcer Index is 6.41 , which is greater, thus worse than the value of 3.52 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.'

Which means for our asset as example:
  • Looking at the maximum drop from peak to valley of -20.6 days in the last 5 years of US sectors worst US sectors, we see it is relatively higher, thus better in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum DrawDown is -14.1 days, which is greater, thus better than the value of -18.8 days from the benchmark.

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.'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of US sectors worst US sectors is 492 days, which is higher, thus worse compared to the benchmark SPY (488 days) in the same period.
  • Looking at maximum days under water in of 363 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 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:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average time in days below previous high water mark of 163 days of US sectors worst US sectors is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 108 days, which is larger, thus worse than the value of 20 days from the benchmark.

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 sectors worst US sectors 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.