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 performance over 5 years of US sectors worst US sectors is 46.9%, which is lower, thus worse compared to the benchmark SPY (86%) in the same period.
• Looking at total return, or increase in value in of 26.8% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (71.8%).

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

• Looking at the annual performance (CAGR) of 8% 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 (13.3%)
• Looking at compounded annual growth rate (CAGR) in of 8.3% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (19.9%).

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.'

• Compared with the benchmark SPY (17%) in the period of the last 5 years, the 30 days standard deviation of 15% of US sectors worst US sectors is smaller, thus better.
• During the last 3 years, the 30 days standard deviation is 13.2%, which is lower, thus better than the value of 15.2% from the benchmark.

DownVol:

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

• Looking at the downside volatility of 10.5% 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 (11.8%)
• Looking at downside deviation in of 9.3% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10.2%).

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

• The ratio of return and volatility (Sharpe) over 5 years of US sectors worst US sectors is 0.37, which is lower, thus worse compared to the benchmark SPY (0.63) in the same period.
• Compared with SPY (1.14) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.44 is lower, 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.'

• Looking at the excess return divided by the downside deviation of 0.53 in the last 5 years of US sectors worst US sectors, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.92)
• Looking at downside risk / excess return profile in of 0.62 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.7).

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.'

• The Ulcer Index over 5 years of US sectors worst US sectors is 8.08 , which is smaller, thus better compared to the benchmark SPY (8.42 ) in the same period.
• Compared with SPY (3.48 ) in the period of the last 3 years, the Ulcer Ratio of 6.4 is higher, thus worse.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

• The maximum reduction from previous high over 5 years of US sectors worst US sectors is -20.6 days, which is higher, thus better compared to the benchmark SPY (-24.5 days) in the same period.
• Looking at maximum DrawDown in of -14.1 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-18.8 days).

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)
• Looking at maximum days below previous high in of 363 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (87 days).

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 163 days in the last 5 years of US sectors worst US sectors, we see it is relatively higher, thus worse in comparison to the benchmark SPY (119 days)
• During the last 3 years, the average days below previous high is 109 days, which is greater, thus worse than the value of 19 days from the benchmark.