This module allows you to analyze existing cross correlation between ETFMG Prime Mobile Payments ETF and NQTH. You can compare the effects of market volatilities on ETFMG Prime and NQTH and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in ETFMG Prime with a short position of NQTH. See also your portfolio center. Please also check ongoing floating volatility patterns of ETFMG Prime and NQTH.
|Horizon||30 Days Login to change|
Predicted Return Density
ETFMG Prime Mobile Payments ET vs. NQTH
Given the investment horizon of 30 days, ETFMG Prime Mobile Payments ETF is expected to generate 1.61 times more return on investment than NQTH. However, ETFMG Prime is 1.61 times more volatile than NQTH. It trades about 0.04 of its potential returns per unit of risk. NQTH is currently generating about -0.18 per unit of risk. If you would invest 4,648 in ETFMG Prime Mobile Payments ETF on July 27, 2019 and sell it today you would earn a total of 80.00 from holding ETFMG Prime Mobile Payments ETF or generate 1.72% return on investment over 30 days.
Pair Corralation between ETFMG Prime and NQTH
|Time Period||2 Months [change]|
Diversification Opportunities for ETFMG Prime and NQTH
Overlapping area represents the amount of risk that can be diversified away by holding ETFMG Prime Mobile Payments ET and NQTH in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NQTH and ETFMG Prime is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on ETFMG Prime Mobile Payments ETF are associated (or correlated) with NQTH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NQTH has no effect on the direction of ETFMG Prime i.e. ETFMG Prime and NQTH go up and down completely randomly.
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