Correlation Between Select Fund and Catalyst Dynamic
Can any of the company-specific risk be diversified away by investing in both Select Fund and Catalyst Dynamic 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 Select Fund and Catalyst Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Select Fund R and Catalyst Dynamic Alpha, you can compare the effects of market volatilities on Select Fund and Catalyst Dynamic 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 Select Fund with a short position of Catalyst Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Select Fund and Catalyst Dynamic.
Diversification Opportunities for Select Fund and Catalyst Dynamic
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Select and Catalyst is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Select Fund R and Catalyst Dynamic Alpha in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalyst Dynamic Alpha and Select Fund 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 Select Fund R are associated (or correlated) with Catalyst Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalyst Dynamic Alpha has no effect on the direction of Select Fund i.e., Select Fund and Catalyst Dynamic go up and down completely randomly.
Pair Corralation between Select Fund and Catalyst Dynamic
Assuming the 90 days horizon Select Fund R is expected to generate 0.94 times more return on investment than Catalyst Dynamic. However, Select Fund R is 1.06 times less risky than Catalyst Dynamic. It trades about -0.11 of its potential returns per unit of risk. Catalyst Dynamic Alpha is currently generating about -0.11 per unit of risk. If you would invest 11,413 in Select Fund R on December 27, 2024 and sell it today you would lose (1,054) from holding Select Fund R or give up 9.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Select Fund R vs. Catalyst Dynamic Alpha
Performance |
Timeline |
Select Fund R |
Catalyst Dynamic Alpha |
Select Fund and Catalyst Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Select Fund and Catalyst Dynamic
The main advantage of trading using opposite Select Fund and Catalyst Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Select Fund position performs unexpectedly, Catalyst Dynamic 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 Dynamic will offset losses from the drop in Catalyst Dynamic's long position.Select Fund vs. Select Fund C | Select Fund vs. Ultra Fund C | Select Fund vs. Ultra Fund R6 | Select Fund vs. Nasdaq 100 Fund Class |
Catalyst Dynamic vs. Catalyst Dynamic Alpha | Catalyst Dynamic vs. Nasdaq 100 Fund Class | Catalyst Dynamic vs. Catalyst Dynamic Alpha | Catalyst Dynamic vs. Nasdaq 100 Fund Class |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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