US sectors worst US sectors

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.'

• The total return, or increase in value over 5 years of US sectors worst US sectors is 41.7%, which is lower, thus worse compared to the benchmark SPY (90.8%) in the same period.
• Compared with SPY (75.3%) in the period of the last 3 years, the total return, or performance of 22.9% is lower, thus worse.

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.'

• The annual return (CAGR) over 5 years of US sectors worst US sectors is 7.2%, which is smaller, thus worse compared to the benchmark SPY (13.8%) in the same period.
• During the last 3 years, the annual performance (CAGR) is 7.1%, which is lower, thus worse than the value of 20.7% from the benchmark.

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.'

• The historical 30 days volatility over 5 years of US sectors worst US sectors is 15%, which is lower, thus better compared to the benchmark SPY (17%) in the same period.
• Looking at historical 30 days volatility in of 13.1% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (15.2%).

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 volatility over 5 years of US sectors worst US sectors is 10.5%, which is lower, thus better compared to the benchmark SPY (11.7%) in the same period.
• Compared with SPY (10.2%) in the period of the last 3 years, the downside deviation of 9.3% is lower, 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.'

• The Sharpe Ratio over 5 years of US sectors worst US sectors is 0.32, which is lower, thus worse compared to the benchmark SPY (0.67) in the same period.
• Looking at ratio of return and volatility (Sharpe) in of 0.35 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.2).

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.'

• Compared with the benchmark SPY (0.97) in the period of the last 5 years, the downside risk / excess return profile of 0.45 of US sectors worst US sectors is lower, thus worse.
• Looking at downside risk / excess return profile in of 0.5 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.78).

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.'

• Looking at the Ulcer Index of 8.09 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 (8.42 )
• Compared with SPY (3.49 ) in the period of the last 3 years, the Ulcer Ratio of 6.4 is greater, thus worse.

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 greater, thus better.
• During the last 3 years, the maximum drop from peak to valley is -14.1 days, which is higher, 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.'

• Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 492 days of US sectors worst US sectors is higher, thus worse.
• Looking at maximum days under water in of 362 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 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.'

• Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days below previous high of 162 days of US sectors worst US sectors is greater, thus worse.
• Looking at average days under water in of 108 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (20 days).