Statistics (YTD)

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TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • The total return, or increase in value over 5 years of Dow 30 Strategy balanced is 153.6%, which is greater, thus better compared to the benchmark SPY (92.9%) in the same period.
  • During the last 3 years, the total return is 44.4%, which is larger, thus better than the value of 43.1% from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (14.1%) in the period of the last 5 years, the annual performance (CAGR) of 20.5% of Dow 30 Strategy balanced is larger, thus better.
  • During the last 3 years, the annual performance (CAGR) is 13.1%, which is higher, thus better than the value of 12.8% from the benchmark.

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.'

Which means for our asset as example:
  • The historical 30 days volatility over 5 years of Dow 30 Strategy balanced is 20.4%, which is lower, thus better compared to the benchmark SPY (21%) in the same period.
  • Compared with SPY (17.2%) in the period of the last 3 years, the 30 days standard deviation of 15% 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 Dow 30 Strategy balanced is 13.7%, which is lower, thus better compared to the benchmark SPY (15%) in the same period.
  • Looking at downside risk in of 10.4% in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (12%).

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:
  • Compared with the benchmark SPY (0.55) in the period of the last 5 years, the Sharpe Ratio of 0.88 of Dow 30 Strategy balanced is higher, thus better.
  • Compared with SPY (0.6) in the period of the last 3 years, the Sharpe Ratio of 0.71 is greater, thus better.

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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Dow 30 Strategy balanced is 1.31, which is larger, thus better compared to the benchmark SPY (0.77) in the same period.
  • Compared with SPY (0.86) in the period of the last 3 years, the excess return divided by the downside deviation of 1.02 is higher, thus better.

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:
  • Looking at the Downside risk index of 7.2 in the last 5 years of Dow 30 Strategy balanced, we see it is relatively lower, thus better in comparison to the benchmark SPY (9.33 )
  • During the last 3 years, the Ulcer Index is 8.11 , which is lower, thus better than the value of 8.59 from the benchmark.

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:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -27.8 days of Dow 30 Strategy balanced is higher, thus better.
  • During the last 3 years, the maximum drop from peak to valley is -17.7 days, which is higher, thus better than the value of -22.1 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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 413 days in the last 5 years of Dow 30 Strategy balanced, we see it is relatively smaller, thus better in comparison to the benchmark SPY (488 days)
  • Looking at maximum days below previous high in of 413 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (325 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (121 days) in the period of the last 5 years, the average days under water of 90 days of Dow 30 Strategy balanced is smaller, thus better.
  • During the last 3 years, the average days below previous high is 131 days, which is larger, thus worse than the value of 89 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 balanced 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.