Correlation Between Franklin FTSE and Baker Hughes
Can any of the company-specific risk be diversified away by investing in both Franklin FTSE and Baker Hughes 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 FTSE and Baker Hughes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin FTSE Brazil and Baker Hughes Co, you can compare the effects of market volatilities on Franklin FTSE and Baker Hughes 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 FTSE with a short position of Baker Hughes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin FTSE and Baker Hughes.
Diversification Opportunities for Franklin FTSE and Baker Hughes
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Franklin and Baker is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Franklin FTSE Brazil and Baker Hughes Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baker Hughes and Franklin FTSE 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 FTSE Brazil are associated (or correlated) with Baker Hughes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baker Hughes has no effect on the direction of Franklin FTSE i.e., Franklin FTSE and Baker Hughes go up and down completely randomly.
Pair Corralation between Franklin FTSE and Baker Hughes
Assuming the 90 days trading horizon Franklin FTSE Brazil is expected to under-perform the Baker Hughes. But the etf apears to be less risky and, when comparing its historical volatility, Franklin FTSE Brazil is 1.54 times less risky than Baker Hughes. The etf trades about -0.05 of its potential returns per unit of risk. The Baker Hughes Co is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 3,597 in Baker Hughes Co on October 22, 2024 and sell it today you would earn a total of 1,150 from holding Baker Hughes Co or generate 31.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Franklin FTSE Brazil vs. Baker Hughes Co
Performance |
Timeline |
Franklin FTSE Brazil |
Baker Hughes |
Franklin FTSE and Baker Hughes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin FTSE and Baker Hughes
The main advantage of trading using opposite Franklin FTSE and Baker Hughes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin FTSE position performs unexpectedly, Baker Hughes 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 Baker Hughes will offset losses from the drop in Baker Hughes' long position.Franklin FTSE vs. Franklin LibertyQ Global | Franklin FTSE vs. Franklin Libertyshares ICAV | Franklin FTSE vs. Franklin FTSE Asia | Franklin FTSE vs. Franklin FTSE Brazil |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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