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.'

• Compared with the benchmark SPY (75.6%) in the period of the last 5 years, the total return, or performance of 82.3% of US sectors worst US sectors is larger, thus better.
• Compared with SPY (40%) in the period of the last 3 years, the total return, or increase in value of 19.2% 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 compounded annual growth rate (CAGR) over 5 years of US sectors worst US sectors is 12.8%, which is greater, thus better compared to the benchmark SPY (11.9%) in the same period.
• During the last 3 years, the annual performance (CAGR) is 6%, which is lower, thus worse than the value of 11.9% from the benchmark.

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.'

• Looking at the 30 days standard deviation of 19.1% 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 (20.3%)
• Looking at volatility in of 21.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (23.6%).

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.'

• Looking at the downside risk of 13.2% 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 (14.9%)
• Looking at downside deviation in of 15.3% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (17.3%).

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.'

• Looking at the Sharpe Ratio of 0.54 in the last 5 years of US sectors worst US sectors, we see it is relatively larger, thus better in comparison to the benchmark SPY (0.46)
• Compared with SPY (0.4) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.16 is lower, thus worse.

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 excess return divided by the downside deviation over 5 years of US sectors worst US sectors is 0.78, which is higher, thus better compared to the benchmark SPY (0.63) in the same period.
• Compared with SPY (0.54) in the period of the last 3 years, the ratio of annual return and downside deviation of 0.23 is lower, thus worse.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

• The Downside risk index over 5 years of US sectors worst US sectors is 7.24 , which is higher, thus worse compared to the benchmark SPY (6.62 ) in the same period.
• Compared with SPY (7.55 ) in the period of the last 3 years, the Ulcer Index of 8.93 is larger, 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 (-33.7 days) in the period of the last 5 years, the maximum DrawDown of -37.3 days of US sectors worst US sectors is lower, thus worse.
• Looking at maximum drop from peak to valley in of -37.3 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-33.7 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) in days.'

• Looking at the maximum time in days below previous high water mark of 307 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 (139 days)
• Compared with SPY (120 days) in the period of the last 3 years, the maximum time in days below previous high water mark of 307 days is larger, thus worse.

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 (37 days) in the period of the last 5 years, the average days under water of 60 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 78 days, which is larger, thus worse than the value of 31 days from the benchmark.