Correlation Between Franklin Emerging and Guidepath(r) Growth
Can any of the company-specific risk be diversified away by investing in both Franklin Emerging and Guidepath(r) Growth 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 Emerging and Guidepath(r) Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Emerging Market and Guidepath Growth Allocation, you can compare the effects of market volatilities on Franklin Emerging and Guidepath(r) Growth 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 Emerging with a short position of Guidepath(r) Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Emerging and Guidepath(r) Growth.
Diversification Opportunities for Franklin Emerging and Guidepath(r) Growth
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Guidepath(r) is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Emerging Market and Guidepath Growth Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Growth All and Franklin Emerging 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 Emerging Market are associated (or correlated) with Guidepath(r) Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Growth All has no effect on the direction of Franklin Emerging i.e., Franklin Emerging and Guidepath(r) Growth go up and down completely randomly.
Pair Corralation between Franklin Emerging and Guidepath(r) Growth
Assuming the 90 days horizon Franklin Emerging is expected to generate 1.55 times less return on investment than Guidepath(r) Growth. But when comparing it to its historical volatility, Franklin Emerging Market is 3.6 times less risky than Guidepath(r) Growth. It trades about 0.48 of its potential returns per unit of risk. Guidepath Growth Allocation is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,813 in Guidepath Growth Allocation on May 13, 2025 and sell it today you would earn a total of 152.00 from holding Guidepath Growth Allocation or generate 8.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Emerging Market vs. Guidepath Growth Allocation
Performance |
Timeline |
Franklin Emerging Market |
Guidepath Growth All |
Franklin Emerging and Guidepath(r) Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Emerging and Guidepath(r) Growth
The main advantage of trading using opposite Franklin Emerging and Guidepath(r) Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Emerging position performs unexpectedly, Guidepath(r) Growth 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 Guidepath(r) Growth will offset losses from the drop in Guidepath(r) Growth's long position.Franklin Emerging vs. Franklin Mutual Beacon | Franklin Emerging vs. Templeton Developing Markets | Franklin Emerging vs. Franklin Mutual Global | Franklin Emerging 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 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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