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 of 137.9% in the last 5 years of US sectors worst US sectors, we see it is relatively higher, thus better in comparison to the benchmark SPY (61.9%)
• Looking at total return in of 67.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (79.4%).

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.'

• Looking at the annual performance (CAGR) of 19% in the last 5 years of US sectors worst US sectors, we see it is relatively higher, thus better in comparison to the benchmark SPY (10.1%)
• Compared with SPY (21.5%) in the period of the last 3 years, the annual performance (CAGR) of 18.7% is smaller, thus worse.

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.'

• The historical 30 days volatility over 5 years of US sectors worst US sectors is 19.7%, which is smaller, thus better compared to the benchmark SPY (21.5%) in the same period.
• Compared with SPY (21.2%) in the period of the last 3 years, the volatility of 18.4% is lower, thus better.

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.'

• Compared with the benchmark SPY (15.5%) in the period of the last 5 years, the downside deviation of 13.3% of US sectors worst US sectors is lower, thus better.
• During the last 3 years, the downside risk is 11.9%, which is smaller, thus better than the value of 14.1% 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 ratio of return and volatility (Sharpe) over 5 years of US sectors worst US sectors is 0.84, which is larger, thus better compared to the benchmark SPY (0.36) in the same period.
• Compared with SPY (0.9) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.88 is smaller, thus worse.

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.'

• The downside risk / excess return profile over 5 years of US sectors worst US sectors is 1.24, which is higher, thus better compared to the benchmark SPY (0.49) in the same period.
• During the last 3 years, the excess return divided by the downside deviation is 1.36, which is higher, thus better than the value of 1.35 from the benchmark.

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.'

• The Ulcer Ratio over 5 years of US sectors worst US sectors is 6.54 , which is smaller, thus better compared to the benchmark SPY (9.15 ) in the same period.
• During the last 3 years, the Downside risk index is 7.18 , which is lower, thus better than the value of 9.78 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 reduction from previous high over 5 years of US sectors worst US sectors is -27.1 days, which is higher, thus better compared to the benchmark SPY (-33.7 days) in the same period.
• During the last 3 years, the maximum drop from peak to valley is -20.6 days, which is higher, thus better than the value of -24.5 days from the benchmark.

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.'

• The maximum days below previous high over 5 years of US sectors worst US sectors is 238 days, which is smaller, thus better compared to the benchmark SPY (305 days) in the same period.
• During the last 3 years, the maximum days under water is 238 days, which is smaller, thus better than the value of 305 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.'

• The average time in days below previous high water mark over 5 years of US sectors worst US sectors is 42 days, which is smaller, thus better compared to the benchmark SPY (65 days) in the same period.
• Compared with SPY (80 days) in the period of the last 3 years, the average time in days below previous high water mark of 56 days is lower, thus better.