Correlation Between Franklin Lifesmart and Real Estate
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Real Estate 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 Lifesmart and Real Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Lifesmart 2030 and Real Estate Securities, you can compare the effects of market volatilities on Franklin Lifesmart and Real Estate 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 Lifesmart with a short position of Real Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Real Estate.
Diversification Opportunities for Franklin Lifesmart and Real Estate
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Real is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart 2030 and Real Estate Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Estate Securities and Franklin Lifesmart 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 Lifesmart 2030 are associated (or correlated) with Real Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Estate Securities has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Real Estate go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Real Estate
Assuming the 90 days horizon Franklin Lifesmart 2030 is expected to generate 0.48 times more return on investment than Real Estate. However, Franklin Lifesmart 2030 is 2.07 times less risky than Real Estate. It trades about 0.08 of its potential returns per unit of risk. Real Estate Securities is currently generating about 0.02 per unit of risk. If you would invest 1,134 in Franklin Lifesmart 2030 on October 21, 2024 and sell it today you would earn a total of 248.00 from holding Franklin Lifesmart 2030 or generate 21.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Lifesmart 2030 vs. Real Estate Securities
Performance |
Timeline |
Franklin Lifesmart 2030 |
Real Estate Securities |
Franklin Lifesmart and Real Estate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Real Estate
The main advantage of trading using opposite Franklin Lifesmart and Real Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Real Estate 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 Real Estate will offset losses from the drop in Real Estate's long position.Franklin Lifesmart vs. Franklin Mutual Beacon | Franklin Lifesmart vs. Templeton Developing Markets | Franklin Lifesmart vs. Franklin Mutual Global | Franklin Lifesmart 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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