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 (91.6%) in the period of the last 5 years, the total return, or performance of 25.2% of US sectors low volatility is lower, thus worse.
  • Compared with SPY (85.7%) in the period of the last 3 years, the total return, or performance of 18.2% is smaller, thus worse.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (14%) in the period of the last 5 years, the annual performance (CAGR) of 4.6% of US sectors low volatility is smaller, thus worse.
  • During the last 3 years, the annual return (CAGR) is 5.8%, which is lower, thus worse than the value of 23.1% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • The historical 30 days volatility over 5 years of US sectors low volatility is 14.2%, which is lower, thus better compared to the benchmark SPY (17.1%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 12.7%, which is lower, thus better than the value of 15.1% from the benchmark.

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:
  • Looking at the downside risk of 10.4% in the last 5 years of US sectors low volatility, we see it is relatively lower, thus better in comparison to the benchmark SPY (11.7%)
  • Looking at downside deviation in of 9.1% 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:
  • Compared with the benchmark SPY (0.67) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.15 of US sectors low volatility is lower, thus worse.
  • Compared with SPY (1.36) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.26 is smaller, 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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.2 in the last 5 years of US sectors low volatility, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.98)
  • Looking at ratio of annual return and downside deviation in of 0.36 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (2.04).

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.'

Using this definition on our asset we see for example:
  • Looking at the Downside risk index of 7.34 in the last 5 years of US sectors low volatility, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.45 )
  • Compared with SPY (3.5 ) in the period of the last 3 years, the Downside risk index of 5.72 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -19.6 days of US sectors low volatility is higher, thus better.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum reduction from previous high of -13 days is higher, thus better.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days under water of 462 days of US sectors low volatility is lower, thus better.
  • During the last 3 years, the maximum time in days below previous high water mark is 241 days, which is higher, thus worse than the value of 87 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (120 days) in the period of the last 5 years, the average days below previous high of 127 days of US sectors low volatility is higher, thus worse.
  • Compared with SPY (20 days) in the period of the last 3 years, the average days under water of 66 days is larger, thus worse.

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.