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.'

Which means for our asset as example:
  • The total return, or performance over 5 years of US sectors low volatility is 48.9%, which is lower, thus worse compared to the benchmark SPY (109.3%) in the same period.
  • During the last 3 years, the total return is 4.4%, which is smaller, thus worse than the value of 34.3% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the annual performance (CAGR) of 8.3% in the last 5 years of US sectors low volatility, we see it is relatively lower, thus worse in comparison to the benchmark SPY (16%)
  • Compared with SPY (10.4%) in the period of the last 3 years, the annual performance (CAGR) of 1.4% is lower, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (18%) in the period of the last 5 years, the 30 days standard deviation of 14.3% of US sectors low volatility is lower, thus better.
  • Compared with SPY (18.8%) in the period of the last 3 years, the volatility of 15.2% 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 10.5%, which is smaller, thus better compared to the benchmark SPY (12.5%) in the same period.
  • During the last 3 years, the downside deviation is 11.4%, which is smaller, thus better than the value of 13% from the benchmark.

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.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.41 in the last 5 years of US sectors low volatility, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.75)
  • Compared with SPY (0.42) in the period of the last 3 years, the risk / return profile (Sharpe) of -0.07 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.'

Applying this definition to our asset in some examples:
  • The ratio of annual return and downside deviation over 5 years of US sectors low volatility is 0.56, which is lower, thus worse compared to the benchmark SPY (1.07) in the same period.
  • Compared with SPY (0.6) in the period of the last 3 years, the ratio of annual return and downside deviation of -0.09 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.'

Applying this definition to our asset in some examples:
  • The Downside risk index over 5 years of US sectors low volatility is 6.58 , which is lower, thus better compared to the benchmark SPY (8.45 ) in the same period.
  • Looking at Ulcer Ratio in of 7.68 in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (5.75 ).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -19.6 days of US sectors low volatility is greater, thus better.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -18.8 days is greater, thus better.

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.'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark 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)
  • During the last 3 years, the maximum time in days below previous high water mark is 455 days, which is higher, thus worse than the value of 199 days from the benchmark.

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 (118 days) in the period of the last 5 years, the average days under water of 109 days of US sectors low volatility is smaller, thus better.
  • Looking at average time in days below previous high water mark in of 156 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (45 days).

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.