Correlation Between BHP Group and Neurotech International
Can any of the company-specific risk be diversified away by investing in both BHP Group and Neurotech International 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 BHP Group and Neurotech International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BHP Group Limited and Neurotech International, you can compare the effects of market volatilities on BHP Group and Neurotech International 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 BHP Group with a short position of Neurotech International. Check out your portfolio center. Please also check ongoing floating volatility patterns of BHP Group and Neurotech International.
Diversification Opportunities for BHP Group and Neurotech International
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BHP and Neurotech is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding BHP Group Limited and Neurotech International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neurotech International and BHP Group 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 BHP Group Limited are associated (or correlated) with Neurotech International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neurotech International has no effect on the direction of BHP Group i.e., BHP Group and Neurotech International go up and down completely randomly.
Pair Corralation between BHP Group and Neurotech International
Assuming the 90 days trading horizon BHP Group Limited is expected to generate 0.29 times more return on investment than Neurotech International. However, BHP Group Limited is 3.41 times less risky than Neurotech International. It trades about -0.02 of its potential returns per unit of risk. Neurotech International is currently generating about -0.01 per unit of risk. If you would invest 4,334 in BHP Group Limited on October 14, 2024 and sell it today you would lose (366.00) from holding BHP Group Limited or give up 8.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BHP Group Limited vs. Neurotech International
Performance |
Timeline |
BHP Group Limited |
Neurotech International |
BHP Group and Neurotech International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BHP Group and Neurotech International
The main advantage of trading using opposite BHP Group and Neurotech International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BHP Group position performs unexpectedly, Neurotech International 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 Neurotech International will offset losses from the drop in Neurotech International's long position.BHP Group vs. Dicker Data | BHP Group vs. Super Retail Group | BHP Group vs. Black Rock Mining | BHP Group vs. Ora Banda Mining |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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