Correlation Between Franklin and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Franklin 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 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 K2 Alternative and Commodities Strategy Fund, you can compare the effects of market volatilities on Franklin 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 with a short position of Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin and Commodities Strategy.
Diversification Opportunities for Franklin and Commodities Strategy
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Commodities is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Franklin K2 Alternative 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 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 K2 Alternative 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 i.e., Franklin and Commodities Strategy go up and down completely randomly.
Pair Corralation between Franklin and Commodities Strategy
Assuming the 90 days horizon Franklin K2 Alternative is expected to generate 0.24 times more return on investment than Commodities Strategy. However, Franklin K2 Alternative is 4.12 times less risky than Commodities Strategy. It trades about 0.33 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about -0.12 per unit of risk. If you would invest 1,191 in Franklin K2 Alternative on September 4, 2024 and sell it today you would earn a total of 17.00 from holding Franklin K2 Alternative or generate 1.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin K2 Alternative vs. Commodities Strategy Fund
Performance |
Timeline |
Franklin K2 Alternative |
Commodities Strategy |
Franklin and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin and Commodities Strategy
The main advantage of trading using opposite Franklin and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin 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 vs. Delaware Healthcare Fund | Franklin vs. Health Biotchnology Portfolio | Franklin vs. Blackrock Health Sciences | Franklin vs. Alger Health Sciences |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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