Correlation Between Platinum Asia and M3 Mining
Can any of the company-specific risk be diversified away by investing in both Platinum Asia and M3 Mining 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 Platinum Asia and M3 Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Platinum Asia Investments and M3 Mining, you can compare the effects of market volatilities on Platinum Asia and M3 Mining 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 Platinum Asia with a short position of M3 Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Platinum Asia and M3 Mining.
Diversification Opportunities for Platinum Asia and M3 Mining
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Platinum and M3M is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Platinum Asia Investments and M3 Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M3 Mining and Platinum Asia 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 Platinum Asia Investments are associated (or correlated) with M3 Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M3 Mining has no effect on the direction of Platinum Asia i.e., Platinum Asia and M3 Mining go up and down completely randomly.
Pair Corralation between Platinum Asia and M3 Mining
Assuming the 90 days trading horizon Platinum Asia Investments is expected to generate 0.33 times more return on investment than M3 Mining. However, Platinum Asia Investments is 3.03 times less risky than M3 Mining. It trades about 0.07 of its potential returns per unit of risk. M3 Mining is currently generating about -0.04 per unit of risk. If you would invest 80.00 in Platinum Asia Investments on September 1, 2024 and sell it today you would earn a total of 18.00 from holding Platinum Asia Investments or generate 22.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Platinum Asia Investments vs. M3 Mining
Performance |
| Timeline |
| Platinum Asia Investments |
| M3 Mining |
Platinum Asia and M3 Mining Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Platinum Asia and M3 Mining
The main advantage of trading using opposite Platinum Asia and M3 Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Platinum Asia position performs unexpectedly, M3 Mining 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 M3 Mining will offset losses from the drop in M3 Mining's long position.| Platinum Asia vs. Navigator Global Investments | Platinum Asia vs. Diversified United Investment | Platinum Asia vs. Garda Diversified Ppty | Platinum Asia vs. Argo Investments |
| M3 Mining vs. IDP Education | M3 Mining vs. Sky Metals | M3 Mining vs. G8 Education | M3 Mining vs. RLF AgTech |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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