Macquarie ETF Downside Variance
| STAX Etf | | | 25.55 -0.02 -0.08% |
The Downside Variance profile for Macquarie ETF Trust is based on historical price and volume observations. All inputs reflect available trading data across supported markets.
World Market Map provides a view into diversified allocation design. Such insight adds context to allocation decisions within a diversified portfolio. Diversification analysis considers the interaction of positions within a portfolio. The holding in Macquarie ETF Trust represents an allocation. It is represented within the portfolio holdings. Position allocation is driven by the portfolio construction model. Reported data is organized for reference and does not imply a course of action. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in nation.
Macquarie ETF Trust has current Downside Variance of 0.0045. Downside Variance (or DV) is measured by target semi-variance and is termed downside volatility. It is expressed in percentages and therefore allows for rankings in the same way as variance. One way to view downside volatility is the annualized variance of returns below the target.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 0.0045 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N(ER) | = | Number of points with returns less than expected return for the period |
Downside Variance Peers Comparison
Downside Variance Relative To Other Indicators
Macquarie ETF Trust is rated
below average in downside variance compared to similar ETFs. It is currently under evaluation in maximum drawdown compared to similar ETFs reporting about
61.09 of Maximum Drawdown per Downside Variance. At
61.09 , Macquarie ETF Trust's Maximum Drawdown-to-Downside Variance multiple reflects the spread between these metrics
Downside Variance is the probability-weighted squared below-target returns. The squaring of the below-target returns has the effect of penalizing failures at an exponential rate. This is consistent with observations made on the behavior of individual decision-making under.
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