Correlation Between Guggenheim High and Catalyst Hedged
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Catalyst Hedged 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 Guggenheim High and Catalyst Hedged into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Catalyst Hedged Modity, you can compare the effects of market volatilities on Guggenheim High and Catalyst Hedged 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 Guggenheim High with a short position of Catalyst Hedged. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Catalyst Hedged.
Diversification Opportunities for Guggenheim High and Catalyst Hedged
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Guggenheim and Catalyst is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Catalyst Hedged Modity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalyst Hedged Modity and Guggenheim High 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 Guggenheim High Yield are associated (or correlated) with Catalyst Hedged. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalyst Hedged Modity has no effect on the direction of Guggenheim High i.e., Guggenheim High and Catalyst Hedged go up and down completely randomly.
Pair Corralation between Guggenheim High and Catalyst Hedged
Assuming the 90 days horizon Guggenheim High Yield is expected to generate 0.22 times more return on investment than Catalyst Hedged. However, Guggenheim High Yield is 4.56 times less risky than Catalyst Hedged. It trades about -0.32 of its potential returns per unit of risk. Catalyst Hedged Modity is currently generating about -0.25 per unit of risk. 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 |
Guggenheim High Yield vs. Catalyst Hedged Modity
Performance |
Timeline |
Guggenheim High Yield |
Catalyst Hedged Modity |
Guggenheim High and Catalyst Hedged Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Catalyst Hedged
The main advantage of trading using opposite Guggenheim High and Catalyst Hedged positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Catalyst Hedged 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 Catalyst Hedged will offset losses from the drop in Catalyst Hedged's long position.Guggenheim High vs. Alternative Asset Allocation | Guggenheim High vs. Rbb Fund Trust | Guggenheim High vs. Qs Large Cap | Guggenheim High vs. T Rowe Price |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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