| PSQ Etf | | | USD 37.54 0.33 0.87% |
The current 90-days correlation between ProShares Short QQQ and MicroSectors FANG Index is -0.93 (i.e., Pay attention - limited upside). The correlation of ProShares Short 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.
ProShares Short Correlation With Market
Excellent diversification
The correlation between ProShares Short QQQ and DJI is -0.65 (i.e., Excellent diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Short QQQ and DJI in the same portfolio, assuming nothing else is changed.
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Your Equity Center to better understand how to build diversified portfolios, which includes a position in ProShares Short QQQ. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in state.
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 |
ProShares Short Constituents Risk-Adjusted IndicatorsThere is a big difference between ProShares Etf performing well and ProShares Short 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 ProShares Short'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.