Correlation Between Franklin Financial and Fidelity
Can any of the company-specific risk be diversified away by investing in both Franklin Financial and Fidelity 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 Franklin Financial and Fidelity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Financial Services and Fidelity DD Bancorp, you can compare the effects of market volatilities on Franklin Financial and Fidelity 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 Franklin Financial with a short position of Fidelity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Financial and Fidelity.
Diversification Opportunities for Franklin Financial and Fidelity
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Fidelity is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Financial Services and Fidelity DD Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity DD Bancorp and Franklin Financial 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 Franklin Financial Services are associated (or correlated) with Fidelity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity DD Bancorp has no effect on the direction of Franklin Financial i.e., Franklin Financial and Fidelity go up and down completely randomly.
Pair Corralation between Franklin Financial and Fidelity
Given the investment horizon of 90 days Franklin Financial is expected to generate 1.2 times less return on investment than Fidelity. But when comparing it to its historical volatility, Franklin Financial Services is 1.75 times less risky than Fidelity. It trades about 0.06 of its potential returns per unit of risk. Fidelity DD Bancorp is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 5,177 in Fidelity DD Bancorp on September 4, 2024 and sell it today you would earn a total of 237.00 from holding Fidelity DD Bancorp or generate 4.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Financial Services vs. Fidelity DD Bancorp
Performance |
Timeline |
Franklin Financial |
Fidelity DD Bancorp |
Franklin Financial and Fidelity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Financial and Fidelity
The main advantage of trading using opposite Franklin Financial and Fidelity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Financial position performs unexpectedly, Fidelity 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 Fidelity will offset losses from the drop in Fidelity's long position.Franklin Financial vs. International Bancshares | Franklin Financial vs. Finward Bancorp | Franklin Financial vs. Aquagold International | Franklin Financial vs. Thrivent High Yield |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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