Correlation Between Franklin Lifesmart and Gmo Treasury
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Gmo Treasury 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 Gmo Treasury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Lifesmart Retirement and Gmo Treasury Fund, you can compare the effects of market volatilities on Franklin Lifesmart and Gmo Treasury 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 Gmo Treasury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Gmo Treasury.
Diversification Opportunities for Franklin Lifesmart and Gmo Treasury
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Franklin and Gmo is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart Retirement and Gmo Treasury Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Treasury 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 Retirement are associated (or correlated) with Gmo Treasury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Treasury has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Gmo Treasury go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Gmo Treasury
Assuming the 90 days horizon Franklin Lifesmart Retirement is expected to generate 7.81 times more return on investment than Gmo Treasury. However, Franklin Lifesmart is 7.81 times more volatile than Gmo Treasury Fund. It trades about 0.08 of its potential returns per unit of risk. Gmo Treasury Fund is currently generating about 0.07 per unit of risk. If you would invest 1,013 in Franklin Lifesmart Retirement on September 25, 2024 and sell it today you would earn a total of 35.00 from holding Franklin Lifesmart Retirement or generate 3.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Lifesmart Retirement vs. Gmo Treasury Fund
Performance |
Timeline |
Franklin Lifesmart |
Gmo Treasury |
Franklin Lifesmart and Gmo Treasury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Gmo Treasury
The main advantage of trading using opposite Franklin Lifesmart and Gmo Treasury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Gmo Treasury 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 Gmo Treasury will offset losses from the drop in Gmo Treasury'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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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