US sectors worst US sectors

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.'

• Looking at the total return, or increase in value of 35.2% 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 (74.4%)
• Compared with SPY (69.4%) in the period of the last 3 years, the total return of 24.9% is smaller, thus worse.

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.'

• The annual performance (CAGR) over 5 years of US sectors worst US sectors is 6.2%, which is lower, thus worse compared to the benchmark SPY (11.8%) in the same period.
• During the last 3 years, the annual return (CAGR) is 7.7%, which is lower, thus worse than the value of 19.3% 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.'

• Looking at the volatility of 14.9% 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 (17%)
• Looking at historical 30 days volatility in of 13.1% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (15%).

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.'

• The downside deviation over 5 years of US sectors worst US sectors is 10.5%, which is lower, thus better compared to the benchmark SPY (11.8%) in the same period.
• During the last 3 years, the downside volatility is 9.3%, which is smaller, thus better than the value of 10.1% 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.'

• The Sharpe Ratio over 5 years of US sectors worst US sectors is 0.25, which is lower, thus worse compared to the benchmark SPY (0.55) in the same period.
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.4, which is smaller, thus worse than the value of 1.12 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.'

• Looking at the ratio of annual return and downside deviation of 0.36 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 (0.79)
• Compared with SPY (1.66) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.56 is smaller, thus worse.

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.'

• Compared with the benchmark SPY (8.43 ) in the period of the last 5 years, the Downside risk index of 8.1 of US sectors worst US sectors is lower, thus better.
• During the last 3 years, the Ulcer Index is 6.41 , which is larger, thus worse than the value of 3.44 from the benchmark.

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.'

• Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -20.6 days of US sectors worst US sectors is higher, thus better.
• 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 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.'

• Looking at the maximum time in days below previous high water mark of 492 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 (488 days)
• During the last 3 years, the maximum days under water is 363 days, which is larger, thus worse than the value of 87 days from the benchmark.

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.'

• Looking at the average time in days below previous high water mark of 162 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 (119 days)
• Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 109 days is higher, thus worse.