Correlation Between Rio Tinto and OAR RESOURCES
Can any of the company-specific risk be diversified away by investing in both Rio Tinto and OAR RESOURCES 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 Rio Tinto and OAR RESOURCES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rio Tinto Group and OAR RESOURCES LTD, you can compare the effects of market volatilities on Rio Tinto and OAR RESOURCES 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 Rio Tinto with a short position of OAR RESOURCES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rio Tinto and OAR RESOURCES.
Diversification Opportunities for Rio Tinto and OAR RESOURCES
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Rio and OAR is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Rio Tinto Group and OAR RESOURCES LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OAR RESOURCES LTD and Rio Tinto 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 Rio Tinto Group are associated (or correlated) with OAR RESOURCES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OAR RESOURCES LTD has no effect on the direction of Rio Tinto i.e., Rio Tinto and OAR RESOURCES go up and down completely randomly.
Pair Corralation between Rio Tinto and OAR RESOURCES
Assuming the 90 days trading horizon Rio Tinto Group is expected to under-perform the OAR RESOURCES. But the stock apears to be less risky and, when comparing its historical volatility, Rio Tinto Group is 16.28 times less risky than OAR RESOURCES. The stock trades about -0.07 of its potential returns per unit of risk. The OAR RESOURCES LTD is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1.00 in OAR RESOURCES LTD on September 23, 2024 and sell it today you would earn a total of 0.24 from holding OAR RESOURCES LTD or generate 24.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.73% |
Values | Daily Returns |
Rio Tinto Group vs. OAR RESOURCES LTD
Performance |
Timeline |
Rio Tinto Group |
OAR RESOURCES LTD |
Rio Tinto and OAR RESOURCES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rio Tinto and OAR RESOURCES
The main advantage of trading using opposite Rio Tinto and OAR RESOURCES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rio Tinto position performs unexpectedly, OAR RESOURCES 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 OAR RESOURCES will offset losses from the drop in OAR RESOURCES's long position.Rio Tinto vs. Anglo American plc | Rio Tinto vs. Liontown Resources Limited | Rio Tinto vs. NEXA RESOURCES SA | Rio Tinto vs. STRAITS TRADG SD |
OAR RESOURCES vs. Rio Tinto Group | OAR RESOURCES vs. Anglo American plc | OAR RESOURCES vs. Liontown Resources Limited | OAR RESOURCES vs. NEXA RESOURCES SA |
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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