Correlation Between Franklin Emerging and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Franklin Emerging and Commodities Strategy 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 Commodities Strategy 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 Commodities Strategy Fund, you can compare the effects of market volatilities on Franklin Emerging and Commodities Strategy 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 Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Emerging and Commodities Strategy.
Diversification Opportunities for Franklin Emerging and Commodities Strategy
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and Commodities is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Emerging Market and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy 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 Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Franklin Emerging i.e., Franklin Emerging and Commodities Strategy go up and down completely randomly.
Pair Corralation between Franklin Emerging and Commodities Strategy
Assuming the 90 days horizon Franklin Emerging is expected to generate 1.53 times less return on investment than Commodities Strategy. But when comparing it to its historical volatility, Franklin Emerging Market is 3.97 times less risky than Commodities Strategy. It trades about 0.23 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 14,760 in Commodities Strategy Fund on December 25, 2024 and sell it today you would earn a total of 607.00 from holding Commodities Strategy Fund or generate 4.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Emerging Market vs. Commodities Strategy Fund
Performance |
Timeline |
Franklin Emerging Market |
Commodities Strategy |
Franklin Emerging and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Emerging and Commodities Strategy
The main advantage of trading using opposite Franklin Emerging and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Emerging position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's long position.Franklin Emerging vs. Blackrock Science Technology | Franklin Emerging vs. Specialized Technology Fund | Franklin Emerging vs. Towpath Technology | Franklin Emerging vs. Dreyfus Technology Growth |
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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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