Correlation Between Franklin Emerging and Alger Large
Can any of the company-specific risk be diversified away by investing in both Franklin Emerging and Alger Large 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 Alger Large 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 Alger Large Cap, you can compare the effects of market volatilities on Franklin Emerging and Alger Large 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 Alger Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Emerging and Alger Large.
Diversification Opportunities for Franklin Emerging and Alger Large
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Franklin and Alger is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Emerging Market and Alger Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Large Cap 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 Alger Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Large Cap has no effect on the direction of Franklin Emerging i.e., Franklin Emerging and Alger Large go up and down completely randomly.
Pair Corralation between Franklin Emerging and Alger Large
Assuming the 90 days horizon Franklin Emerging is expected to generate 2.65 times less return on investment than Alger Large. But when comparing it to its historical volatility, Franklin Emerging Market is 4.09 times less risky than Alger Large. It trades about 0.17 of its potential returns per unit of risk. Alger Large Cap is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 4,930 in Alger Large Cap on September 3, 2024 and sell it today you would earn a total of 4,143 from holding Alger Large Cap or generate 84.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Franklin Emerging Market vs. Alger Large Cap
Performance |
| Timeline |
| Franklin Emerging Market |
| Alger Large Cap |
Franklin Emerging and Alger Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Franklin Emerging and Alger Large
The main advantage of trading using opposite Franklin Emerging and Alger Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Emerging position performs unexpectedly, Alger Large 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 Alger Large will offset losses from the drop in Alger Large's long position.| Franklin Emerging vs. Iaadx | Franklin Emerging vs. Sei Daily Income | Franklin Emerging vs. Fa 529 Aggressive | Franklin Emerging vs. Arrow Managed Futures |
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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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