Correlation Between Franklin Maryland and Franklin California
Can any of the company-specific risk be diversified away by investing in both Franklin Maryland and Franklin California 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 Maryland and Franklin California into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Maryland Tax Free and Franklin California High, you can compare the effects of market volatilities on Franklin Maryland and Franklin California 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 Maryland with a short position of Franklin California. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Maryland and Franklin California.
Diversification Opportunities for Franklin Maryland and Franklin California
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Franklin and Franklin is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Maryland Tax Free and Franklin California High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin California High and Franklin Maryland 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 Maryland Tax Free are associated (or correlated) with Franklin California. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin California High has no effect on the direction of Franklin Maryland i.e., Franklin Maryland and Franklin California go up and down completely randomly.
Pair Corralation between Franklin Maryland and Franklin California
Assuming the 90 days horizon Franklin Maryland is expected to generate 1.19 times less return on investment than Franklin California. But when comparing it to its historical volatility, Franklin Maryland Tax Free is 1.04 times less risky than Franklin California. It trades about 0.06 of its potential returns per unit of risk. Franklin California High is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 913.00 in Franklin California High on September 3, 2024 and sell it today you would earn a total of 87.00 from holding Franklin California High or generate 9.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Maryland Tax Free vs. Franklin California High
Performance |
Timeline |
Franklin Maryland Tax |
Franklin California High |
Franklin Maryland and Franklin California Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Maryland and Franklin California
The main advantage of trading using opposite Franklin Maryland and Franklin California positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Maryland position performs unexpectedly, Franklin California 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 California will offset losses from the drop in Franklin California's long position.Franklin Maryland vs. Franklin Necticut Tax Free | Franklin Maryland vs. Franklin High Income | Franklin Maryland vs. Franklin Templeton Smacs | Franklin Maryland vs. Franklin Templeton Smacs |
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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