Correlation Between Franklin Strategic and Lgm Risk
Can any of the company-specific risk be diversified away by investing in both Franklin Strategic and Lgm Risk 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 Strategic and Lgm Risk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Strategic Income and Lgm Risk Managed, you can compare the effects of market volatilities on Franklin Strategic and Lgm Risk 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 Strategic with a short position of Lgm Risk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Strategic and Lgm Risk.
Diversification Opportunities for Franklin Strategic and Lgm Risk
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Franklin and Lgm is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Strategic Income and Lgm Risk Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lgm Risk Managed and Franklin Strategic 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 Strategic Income are associated (or correlated) with Lgm Risk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lgm Risk Managed has no effect on the direction of Franklin Strategic i.e., Franklin Strategic and Lgm Risk go up and down completely randomly.
Pair Corralation between Franklin Strategic and Lgm Risk
Assuming the 90 days horizon Franklin Strategic Income is expected to under-perform the Lgm Risk. But the mutual fund apears to be less risky and, when comparing its historical volatility, Franklin Strategic Income is 1.51 times less risky than Lgm Risk. The mutual fund trades about -0.47 of its potential returns per unit of risk. The Lgm Risk Managed is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 1,151 in Lgm Risk Managed on September 30, 2024 and sell it today you would lose (16.00) from holding Lgm Risk Managed or give up 1.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Strategic Income vs. Lgm Risk Managed
Performance |
Timeline |
Franklin Strategic Income |
Lgm Risk Managed |
Franklin Strategic and Lgm Risk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Strategic and Lgm Risk
The main advantage of trading using opposite Franklin Strategic and Lgm Risk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Strategic position performs unexpectedly, Lgm Risk 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 Lgm Risk will offset losses from the drop in Lgm Risk's long position.Franklin Strategic vs. Franklin Mutual Beacon | Franklin Strategic vs. Templeton Developing Markets | Franklin Strategic vs. Franklin Mutual Global | Franklin Strategic vs. Franklin Mutual Global |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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