Correlation Between Franklin Emerging and Gmo Quality
Can any of the company-specific risk be diversified away by investing in both Franklin Emerging and Gmo Quality 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 Gmo Quality 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 Gmo Quality Fund, you can compare the effects of market volatilities on Franklin Emerging and Gmo Quality 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 Gmo Quality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Emerging and Gmo Quality.
Diversification Opportunities for Franklin Emerging and Gmo Quality
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Gmo is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Emerging Market and Gmo Quality Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Quality Fund 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 Gmo Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Quality Fund has no effect on the direction of Franklin Emerging i.e., Franklin Emerging and Gmo Quality go up and down completely randomly.
Pair Corralation between Franklin Emerging and Gmo Quality
Assuming the 90 days horizon Franklin Emerging is expected to generate 1.36 times less return on investment than Gmo Quality. But when comparing it to its historical volatility, Franklin Emerging Market is 2.62 times less risky than Gmo Quality. It trades about 0.24 of its potential returns per unit of risk. Gmo Quality Fund is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,663 in Gmo Quality Fund on September 12, 2024 and sell it today you would earn a total of 861.00 from holding Gmo Quality Fund or generate 32.33% 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. Gmo Quality Fund
Performance |
Timeline |
Franklin Emerging Market |
Gmo Quality Fund |
Franklin Emerging and Gmo Quality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Emerging and Gmo Quality
The main advantage of trading using opposite Franklin Emerging and Gmo Quality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Emerging position performs unexpectedly, Gmo Quality 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 Quality will offset losses from the drop in Gmo Quality's long position.Franklin Emerging vs. Rbc Emerging Markets | Franklin Emerging vs. Origin Emerging Markets | Franklin Emerging vs. Siit Emerging Markets | Franklin Emerging vs. Locorr Market Trend |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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