Correlation Between Catalyst Hedged and Guggenheim High
Can any of the company-specific risk be diversified away by investing in both Catalyst Hedged and Guggenheim High at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Catalyst Hedged and Guggenheim High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalyst Hedged Modity and Guggenheim High Yield, you can compare the effects of market volatilities on Catalyst Hedged and Guggenheim High 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 Catalyst Hedged with a short position of Guggenheim High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst Hedged and Guggenheim High.
Diversification Opportunities for Catalyst Hedged and Guggenheim High
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Catalyst and Guggenheim is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Catalyst Hedged Modity and Guggenheim High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim High Yield and Catalyst Hedged 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 Catalyst Hedged Modity are associated (or correlated) with Guggenheim High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim High Yield has no effect on the direction of Catalyst Hedged i.e., Catalyst Hedged and Guggenheim High go up and down completely randomly.
Pair Corralation between Catalyst Hedged and Guggenheim High
Assuming the 90 days horizon Catalyst Hedged Modity is expected to under-perform the Guggenheim High. In addition to that, Catalyst Hedged is 4.56 times more volatile than Guggenheim High Yield. It trades about -0.25 of its total potential returns per unit of risk. Guggenheim High Yield is currently generating about -0.32 per unit of volatility. If you would invest 819.00 in Guggenheim High Yield on October 8, 2024 and sell it today you would lose (7.00) from holding Guggenheim High Yield or give up 0.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Catalyst Hedged Modity vs. Guggenheim High Yield
Performance |
Timeline |
Catalyst Hedged Modity |
Guggenheim High Yield |
Catalyst Hedged and Guggenheim High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst Hedged and Guggenheim High
The main advantage of trading using opposite Catalyst Hedged and Guggenheim High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst Hedged position performs unexpectedly, Guggenheim High can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Guggenheim High will offset losses from the drop in Guggenheim High's long position.Catalyst Hedged vs. Calvert Moderate Allocation | Catalyst Hedged vs. Sierra E Retirement | Catalyst Hedged vs. Moderately Aggressive Balanced | Catalyst Hedged vs. Franklin Lifesmart Retirement |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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