Correlation Between Siit Large and Franklin Convertible
Can any of the company-specific risk be diversified away by investing in both Siit Large and Franklin Convertible 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 Siit Large and Franklin Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Large Cap and Franklin Vertible Securities, you can compare the effects of market volatilities on Siit Large and Franklin Convertible 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 Siit Large with a short position of Franklin Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Large and Franklin Convertible.
Diversification Opportunities for Siit Large and Franklin Convertible
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siit and Franklin is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Siit Large Cap and Franklin Vertible Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Convertible and Siit Large 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 Siit Large Cap are associated (or correlated) with Franklin Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Convertible has no effect on the direction of Siit Large i.e., Siit Large and Franklin Convertible go up and down completely randomly.
Pair Corralation between Siit Large and Franklin Convertible
Assuming the 90 days horizon Siit Large Cap is expected to generate 2.17 times more return on investment than Franklin Convertible. However, Siit Large is 2.17 times more volatile than Franklin Vertible Securities. It trades about 0.03 of its potential returns per unit of risk. Franklin Vertible Securities is currently generating about 0.05 per unit of risk. If you would invest 17,286 in Siit Large Cap on October 24, 2024 and sell it today you would earn a total of 2,777 from holding Siit Large Cap or generate 16.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Large Cap vs. Franklin Vertible Securities
Performance |
Timeline |
Siit Large Cap |
Franklin Convertible |
Siit Large and Franklin Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Large and Franklin Convertible
The main advantage of trading using opposite Siit Large and Franklin Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Large position performs unexpectedly, Franklin Convertible 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 Convertible will offset losses from the drop in Franklin Convertible's long position.Siit Large vs. Siit Dynamic Asset | Siit Large vs. Columbia Large Cap | Siit Large vs. Janus Growth And | Siit Large vs. Nationwide Sp 500 |
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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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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