Correlation Between Icon Financial and Franklin Emerging
Can any of the company-specific risk be diversified away by investing in both Icon Financial and Franklin Emerging 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 Icon Financial and Franklin Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Icon Financial Fund and Franklin Emerging Market, you can compare the effects of market volatilities on Icon Financial and Franklin Emerging 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 Icon Financial with a short position of Franklin Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Icon Financial and Franklin Emerging.
Diversification Opportunities for Icon Financial and Franklin Emerging
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Icon and Franklin is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Icon Financial Fund and Franklin Emerging Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Emerging Market and Icon Financial 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 Icon Financial Fund are associated (or correlated) with Franklin Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Emerging Market has no effect on the direction of Icon Financial i.e., Icon Financial and Franklin Emerging go up and down completely randomly.
Pair Corralation between Icon Financial and Franklin Emerging
Assuming the 90 days horizon Icon Financial Fund is expected to generate 0.92 times more return on investment than Franklin Emerging. However, Icon Financial Fund is 1.08 times less risky than Franklin Emerging. It trades about -0.17 of its potential returns per unit of risk. Franklin Emerging Market is currently generating about -0.26 per unit of risk. If you would invest 983.00 in Icon Financial Fund on October 11, 2024 and sell it today you would lose (30.00) from holding Icon Financial Fund or give up 3.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Icon Financial Fund vs. Franklin Emerging Market
Performance |
Timeline |
Icon Financial |
Franklin Emerging Market |
Icon Financial and Franklin Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Icon Financial and Franklin Emerging
The main advantage of trading using opposite Icon Financial and Franklin Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Icon Financial position performs unexpectedly, Franklin Emerging 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 Franklin Emerging will offset losses from the drop in Franklin Emerging's long position.Icon Financial vs. Tiaa Cref Real Estate | Icon Financial vs. Nuveen Real Estate | Icon Financial vs. Real Estate Ultrasector | Icon Financial vs. Tiaa Cref Real Estate |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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