| SHRY Etf | | | 42.80 0.08 0.19% |
The current 90-days correlation between First Trust Bloomberg and JPMorgan BetaBuilders International is 0.26 (i.e., Modest diversification). The correlation of First Trust is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
First Trust Correlation With Market
Very poor diversification
The correlation between First Trust Bloomberg and DJI is 0.89 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Bloomberg and DJI in the same portfolio, assuming nothing else is changed.
Check out
World Market Map to better understand how to build diversified portfolios, which includes a position in First Trust Bloomberg. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in metropolitan statistical area.
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations | | High negative correlations |
First Trust Constituents Risk-Adjusted IndicatorsThere is a big difference between First Etf performing well and First Trust ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze First Trust's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.