Correlation Between Catalyst/smh High and Franklin Small
Can any of the company-specific risk be diversified away by investing in both Catalyst/smh High and Franklin Small 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 Franklin Small 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 Franklin Small Cap, you can compare the effects of market volatilities on Catalyst/smh High and Franklin Small 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 Franklin Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst/smh High and Franklin Small.
Diversification Opportunities for Catalyst/smh High and Franklin Small
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Catalyst/smh and Franklin is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Catalystsmh High Income and Franklin Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Small Cap 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 Franklin Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Small Cap has no effect on the direction of Catalyst/smh High i.e., Catalyst/smh High and Franklin Small go up and down completely randomly.
Pair Corralation between Catalyst/smh High and Franklin Small
Assuming the 90 days horizon Catalystsmh High Income is expected to generate 0.19 times more return on investment than Franklin Small. However, Catalystsmh High Income is 5.21 times less risky than Franklin Small. It trades about 0.11 of its potential returns per unit of risk. Franklin Small Cap is currently generating about 0.0 per unit of risk. If you would invest 367.00 in Catalystsmh High Income on October 25, 2024 and sell it today you would earn a total of 7.00 from holding Catalystsmh High Income or generate 1.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Catalystsmh High Income vs. Franklin Small Cap
Performance |
Timeline |
Catalystsmh High Income |
Franklin Small Cap |
Catalyst/smh High and Franklin Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst/smh High and Franklin Small
The main advantage of trading using opposite Catalyst/smh High and Franklin Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst/smh High position performs unexpectedly, Franklin Small 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 Franklin Small will offset losses from the drop in Franklin Small's long position.Catalyst/smh High vs. Victory Rs Partners | Catalyst/smh High vs. Fidelity Small Cap | Catalyst/smh High vs. Small Cap Value | Catalyst/smh High vs. Ab Small Cap |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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