Correlation Between Catalyst/smh High and Catalyst/cifc Floating
Can any of the company-specific risk be diversified away by investing in both Catalyst/smh High and Catalyst/cifc Floating 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/smh High and Catalyst/cifc Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystsmh High Income and Catalystcifc Floating Rate, you can compare the effects of market volatilities on Catalyst/smh High and Catalyst/cifc Floating 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/smh High with a short position of Catalyst/cifc Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst/smh High and Catalyst/cifc Floating.
Diversification Opportunities for Catalyst/smh High and Catalyst/cifc Floating
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Catalyst/smh and Catalyst/cifc is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Catalystsmh High Income and Catalystcifc Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalyst/cifc Floating and Catalyst/smh 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 Catalystsmh High Income are associated (or correlated) with Catalyst/cifc Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalyst/cifc Floating has no effect on the direction of Catalyst/smh High i.e., Catalyst/smh High and Catalyst/cifc Floating go up and down completely randomly.
Pair Corralation between Catalyst/smh High and Catalyst/cifc Floating
Assuming the 90 days horizon Catalystsmh High Income is expected to under-perform the Catalyst/cifc Floating. In addition to that, Catalyst/smh High is 2.73 times more volatile than Catalystcifc Floating Rate. It trades about -0.01 of its total potential returns per unit of risk. Catalystcifc Floating Rate is currently generating about 0.09 per unit of volatility. If you would invest 907.00 in Catalystcifc Floating Rate on December 27, 2024 and sell it today you would earn a total of 7.00 from holding Catalystcifc Floating Rate or generate 0.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystsmh High Income vs. Catalystcifc Floating Rate
Performance |
Timeline |
Catalystsmh High Income |
Catalyst/cifc Floating |
Catalyst/smh High and Catalyst/cifc Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst/smh High and Catalyst/cifc Floating
The main advantage of trading using opposite Catalyst/smh High and Catalyst/cifc Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst/smh High position performs unexpectedly, Catalyst/cifc Floating 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/cifc Floating will offset losses from the drop in Catalyst/cifc Floating's long position.Catalyst/smh High vs. Us Government Securities | Catalyst/smh High vs. Ab Impact Municipal | Catalyst/smh High vs. Bbh Intermediate Municipal | Catalyst/smh High vs. Us Government Securities |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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