Description

A sub-strategy for the U.S. Sector strategy.

Methodology & Assets

See the main US Sector strategy for a detailed asset description.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (75.3%) in the period of the last 5 years, the total return, or performance of 26% of US sectors low volatility is smaller, thus worse.
  • Looking at total return, or performance in of 12.5% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (66.5%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.9%) in the period of the last 5 years, the annual return (CAGR) of 4.7% of US sectors low volatility is lower, thus worse.
  • Looking at compounded annual growth rate (CAGR) in of 4% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (18.6%).

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.'

Using this definition on our asset we see for example:
  • The 30 days standard deviation over 5 years of US sectors low volatility is 14.1%, which is smaller, thus better compared to the benchmark SPY (17%) in the same period.
  • Compared with SPY (15.1%) in the period of the last 3 years, the historical 30 days volatility of 12.4% is lower, thus better.

DownVol:

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

Applying this definition to our asset in some examples:
  • The downside deviation over 5 years of US sectors low volatility is 10.4%, which is lower, thus better compared to the benchmark SPY (11.8%) in the same period.
  • Looking at downside volatility in of 8.9% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10.1%).

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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of US sectors low volatility is 0.16, which is lower, thus worse compared to the benchmark SPY (0.55) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.12, which is lower, thus worse than the value of 1.06 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.'

Using this definition on our asset we see for example:
  • Looking at the ratio of annual return and downside deviation of 0.22 in the last 5 years of US sectors low volatility, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.8)
  • Compared with SPY (1.59) in the period of the last 3 years, the downside risk / excess return profile of 0.17 is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (8.44 ) in the period of the last 5 years, the Ulcer Index of 7.24 of US sectors low volatility is lower, thus better.
  • Looking at Ulcer Ratio in of 5.78 in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (3.49 ).

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -19.6 days in the last 5 years of US sectors low volatility, we see it is relatively greater, thus better in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum drop from peak to valley is -13.4 days, which is greater, thus better than the value of -18.8 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.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high of 462 days in the last 5 years of US sectors low volatility, we see it is relatively lower, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 241 days in the period of the last 3 years, we see it is relatively higher, 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days under water of 126 days of US sectors low volatility is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 80 days, which is larger, thus worse than the value of 20 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of US sectors low volatility are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.