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:
  • Compared with the benchmark SPY (88.7%) in the period of the last 5 years, the total return, or increase in value of 48.6% of US sectors worst US sectors is lower, thus worse.
  • Compared with SPY (77.2%) in the period of the last 3 years, the total return of 28.1% is lower, thus worse.

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.'

Which means for our asset as example:
  • The annual performance (CAGR) over 5 years of US sectors worst US sectors is 8.3%, which is lower, thus worse compared to the benchmark SPY (13.6%) in the same period.
  • Compared with SPY (21.2%) in the period of the last 3 years, the annual performance (CAGR) of 8.7% is smaller, thus worse.

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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the historical 30 days volatility of 15% of US sectors worst US sectors is lower, thus better.
  • Compared with SPY (15.1%) in the period of the last 3 years, the historical 30 days volatility of 13.2% is lower, thus better.

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.'

Which means for our asset as example:
  • Looking at the downside volatility 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%)
  • Looking at downside risk in of 9.3% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (10.1%).

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.'

Which means for our asset as example:
  • Looking at the Sharpe Ratio of 0.39 in the last 5 years of US sectors worst US sectors, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.65)
  • Looking at ratio of return and volatility (Sharpe) in of 0.47 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.23).

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:
  • Looking at the downside risk / excess return profile of 0.55 in the last 5 years of US sectors worst US sectors, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.94)
  • Looking at downside risk / excess return profile in of 0.66 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.84).

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.'

Which means for our asset as example:
  • The Downside risk index over 5 years of US sectors worst US sectors is 8.09 , which is smaller, thus better compared to the benchmark SPY (8.42 ) in the same period.
  • Looking at Ulcer Ratio in of 6.4 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.4 ).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum reduction from previous high of -20.6 days of US sectors worst US sectors is larger, thus better.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -14.1 days is larger, thus better.

MaxDuration:

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 492 days of US sectors worst US sectors is higher, thus worse.
  • During the last 3 years, the maximum days below previous high is 363 days, which is greater, thus worse than the value of 87 days from the benchmark.

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:
  • Looking at the average days under water of 163 days 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 (119 days)
  • During the last 3 years, the average days under water is 109 days, which is larger, thus worse than the value of 19 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.