Correlation Between BHP Group and Ras Technology
Can any of the company-specific risk be diversified away by investing in both BHP Group and Ras Technology 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 Ras Technology 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 Ras Technology Holdings, you can compare the effects of market volatilities on BHP Group and Ras Technology 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 Ras Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of BHP Group and Ras Technology.
Diversification Opportunities for BHP Group and Ras Technology
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between BHP and Ras is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding BHP Group Limited and Ras Technology Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ras Technology Holdings 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 Ras Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ras Technology Holdings has no effect on the direction of BHP Group i.e., BHP Group and Ras Technology go up and down completely randomly.
Pair Corralation between BHP Group and Ras Technology
Assuming the 90 days trading horizon BHP Group Limited is expected to under-perform the Ras Technology. But the stock apears to be less risky and, when comparing its historical volatility, BHP Group Limited is 2.16 times less risky than Ras Technology. The stock trades about -0.05 of its potential returns per unit of risk. The Ras Technology Holdings is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 92.00 in Ras Technology Holdings on August 25, 2024 and sell it today you would earn a total of 18.00 from holding Ras Technology Holdings or generate 19.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BHP Group Limited vs. Ras Technology Holdings
Performance |
Timeline |
BHP Group Limited |
Ras Technology Holdings |
BHP Group and Ras Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BHP Group and Ras Technology
The main advantage of trading using opposite BHP Group and Ras Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BHP Group position performs unexpectedly, Ras Technology 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 Ras Technology will offset losses from the drop in Ras Technology's long position.BHP Group vs. Super Retail Group | BHP Group vs. Eagle Mountain Mining | BHP Group vs. Wt Financial Group | BHP Group vs. Pioneer Credit |
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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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