Correlation Between Dow Jones and Antofagasta PLC
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Antofagasta PLC 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 Dow Jones and Antofagasta PLC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Antofagasta PLC, you can compare the effects of market volatilities on Dow Jones and Antofagasta PLC 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 Dow Jones with a short position of Antofagasta PLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Antofagasta PLC.
Diversification Opportunities for Dow Jones and Antofagasta PLC
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Antofagasta is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Antofagasta PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Antofagasta PLC and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Antofagasta PLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Antofagasta PLC has no effect on the direction of Dow Jones i.e., Dow Jones and Antofagasta PLC go up and down completely randomly.
Pair Corralation between Dow Jones and Antofagasta PLC
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Antofagasta PLC. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 3.06 times less risky than Antofagasta PLC. The index trades about -0.03 of its potential returns per unit of risk. The Antofagasta PLC is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,125 in Antofagasta PLC on December 27, 2024 and sell it today you would earn a total of 390.00 from holding Antofagasta PLC or generate 18.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 90.16% |
Values | Daily Returns |
Dow Jones Industrial vs. Antofagasta PLC
Performance |
Timeline |
Dow Jones and Antofagasta PLC Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Antofagasta PLC
Pair trading matchups for Antofagasta PLC
Pair Trading with Dow Jones and Antofagasta PLC
The main advantage of trading using opposite Dow Jones and Antofagasta PLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Antofagasta PLC 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 Antofagasta PLC will offset losses from the drop in Antofagasta PLC's long position.Dow Jones vs. Pintec Technology Holdings | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. Chiba Bank Ltd | Dow Jones vs. Alvotech |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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