Correlation Between Franklin Natural and Federated Short
Can any of the company-specific risk be diversified away by investing in both Franklin Natural and Federated Short 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 Natural and Federated Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Natural Resources and Federated Short Term Income, you can compare the effects of market volatilities on Franklin Natural and Federated Short 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 Natural with a short position of Federated Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Natural and Federated Short.
Diversification Opportunities for Franklin Natural and Federated Short
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Franklin and Federated is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Natural Resources and Federated Short Term Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Short Term and Franklin Natural 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 Natural Resources are associated (or correlated) with Federated Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Short Term has no effect on the direction of Franklin Natural i.e., Franklin Natural and Federated Short go up and down completely randomly.
Pair Corralation between Franklin Natural and Federated Short
Assuming the 90 days horizon Franklin Natural Resources is expected to under-perform the Federated Short. In addition to that, Franklin Natural is 8.95 times more volatile than Federated Short Term Income. It trades about -0.11 of its total potential returns per unit of risk. Federated Short Term Income is currently generating about 0.12 per unit of volatility. If you would invest 848.00 in Federated Short Term Income on September 12, 2024 and sell it today you would earn a total of 2.00 from holding Federated Short Term Income or generate 0.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Natural Resources vs. Federated Short Term Income
Performance |
Timeline |
Franklin Natural Res |
Federated Short Term |
Franklin Natural and Federated Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Natural and Federated Short
The main advantage of trading using opposite Franklin Natural and Federated Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Natural position performs unexpectedly, Federated Short 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 Federated Short will offset losses from the drop in Federated Short's long position.Franklin Natural vs. Victory Rs Partners | Franklin Natural vs. Queens Road Small | Franklin Natural vs. Royce Opportunity Fund | Franklin Natural vs. Pace Smallmedium Value |
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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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