Statistics (YTD)

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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.'

Using this definition on our asset we see for example:
  • The total return over 5 years of Dow 30 Strategy low volatility is 50.7%, which is lower, thus worse compared to the benchmark SPY (76.8%) in the same period.
  • Looking at total return, or performance in of 36.5% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (72.4%).

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.'

Applying this definition to our asset in some examples:
  • Looking at the annual performance (CAGR) of 8.6% in the last 5 years of Dow 30 Strategy low volatility, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (12.1%)
  • Looking at compounded annual growth rate (CAGR) in of 11% in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (20%).

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:
  • Compared with the benchmark SPY (17.1%) in the period of the last 5 years, the historical 30 days volatility of 15.1% of Dow 30 Strategy low volatility is lower, thus better.
  • During the last 3 years, the historical 30 days volatility is 14.7%, 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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk of 10.7% in the last 5 years of Dow 30 Strategy low volatility, we see it is relatively smaller, thus better in comparison to the benchmark SPY (11.8%)
  • During the last 3 years, the downside volatility is 10.1%, which is higher, thus worse than the value of 10.1% from the benchmark.

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.'

Which means for our asset as example:
  • The ratio of return and volatility (Sharpe) over 5 years of Dow 30 Strategy low volatility is 0.4, which is smaller, thus worse compared to the benchmark SPY (0.56) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.58 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.15).

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.'

Using this definition on our asset we see for example:
  • The ratio of annual return and downside deviation over 5 years of Dow 30 Strategy low volatility is 0.57, which is lower, thus worse compared to the benchmark SPY (0.82) in the same period.
  • During the last 3 years, the ratio of annual return and downside deviation is 0.84, which is lower, thus worse than the value of 1.72 from the benchmark.

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:
  • The Ulcer Ratio over 5 years of Dow 30 Strategy low volatility is 9.23 , which is higher, thus worse compared to the benchmark SPY (8.45 ) in the same period.
  • Looking at Downside risk index in of 6.91 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (3.5 ).

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -21.2 days in the last 5 years of Dow 30 Strategy low volatility, we see it is relatively larger, thus better in comparison to the benchmark SPY (-24.5 days)
  • Looking at maximum drop from peak to valley in of -17.1 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (-18.8 days).

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.'

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 time in days below previous high water mark of 541 days of Dow 30 Strategy low volatility is higher, thus worse.
  • Looking at maximum days below previous high in of 287 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (118 days) in the period of the last 5 years, the average days below previous high of 166 days of Dow 30 Strategy low volatility is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 86 days, which is greater, 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 Dow 30 Strategy 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.