This module allows you to analyze existing cross correlation between DOW and CatalystSMH Total Return Incom. You can compare the effects of market volatilities on DOW and CatalystSMH Total 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 DOW with a short position of CatalystSMH Total. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and CatalystSMH Total.
|Horizon||30 Days Login to change|
Predicted Return Density
DOW vs. CatalystSMH Total Return Incom
Given the investment horizon of 30 days, DOW is expected to generate 1.66 times more return on investment than CatalystSMH Total. However, DOW is 1.66 times more volatile than CatalystSMH Total Return Incom. It trades about -0.02 of its potential returns per unit of risk. CatalystSMH Total Return Incom is currently generating about -0.07 per unit of risk. If you would invest 2,733,563 in DOW on September 14, 2019 and sell it today you would lose (46,378) from holding DOW or give up 1.7% of portfolio value over 30 days.
Pair Corralation between DOW and CatalystSMH Total
|Time Period||3 Months [change]|
Diversification Opportunities for DOW and CatalystSMH Total
Overlapping area represents the amount of risk that can be diversified away by holding DOW and CatalystSMH Total Return Incom in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on CatalystSMH Total and DOW 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 DOW are associated (or correlated) with CatalystSMH Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CatalystSMH Total has no effect on the direction of DOW i.e. DOW and CatalystSMH Total go up and down completely randomly.
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