US sectors worst US sectors

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.'

• Compared with the benchmark SPY (109.8%) in the period of the last 5 years, the total return of 54.3% of US sectors worst US sectors is lower, thus worse.
• Looking at total return, or performance in of 10% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (42.5%).

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 return (CAGR) over 5 years of US sectors worst US sectors is 9.1%, which is lower, thus worse compared to the benchmark SPY (16%) in the same period.
• Compared with SPY (12.6%) in the period of the last 3 years, the annual performance (CAGR) of 3.3% is lower, thus worse.

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.'

• Looking at the historical 30 days volatility of 14.9% 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 (17.9%)
• Compared with SPY (18.4%) in the period of the last 3 years, the volatility of 15.5% is lower, thus better.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

• The downside volatility over 5 years of US sectors worst US sectors is 10.5%, which is lower, thus better compared to the benchmark SPY (12.5%) in the same period.
• Compared with SPY (12.6%) in the period of the last 3 years, the downside volatility of 10.8% is smaller, thus better.

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 risk / return profile (Sharpe) over 5 years of US sectors worst US sectors is 0.44, which is lower, thus worse compared to the benchmark SPY (0.75) in the same period.
• During the last 3 years, the ratio of return and volatility (Sharpe) is 0.05, which is lower, thus worse than the value of 0.55 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.'

• The downside risk / excess return profile over 5 years of US sectors worst US sectors is 0.63, which is lower, thus worse compared to the benchmark SPY (1.08) in the same period.
• During the last 3 years, the excess return divided by the downside deviation is 0.07, which is lower, thus worse than the value of 0.8 from the benchmark.

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.'

• Looking at the Ulcer Index of 7.14 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 (8.48 )
• During the last 3 years, the Ulcer Index is 5.46 , which is lower, thus better than the value of 5.54 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.'

• The maximum drop from peak to valley over 5 years of US sectors worst US sectors is -20.5 days, which is larger, thus better compared to the benchmark SPY (-24.5 days) in the same period.
• 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 higher, thus better in comparison to SPY (-18.8 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'

• The maximum days under water 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.
• Compared with SPY (199 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 232 days is larger, thus worse.

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.'

• The average days below previous high over 5 years of US sectors worst US sectors is 126 days, which is larger, thus worse compared to the benchmark SPY (119 days) in the same period.
• Compared with SPY (44 days) in the period of the last 3 years, the average days below previous high of 72 days is larger, thus worse.