Correlation Between Adriatic Metals and Platinum Asia
Can any of the company-specific risk be diversified away by investing in both Adriatic Metals and Platinum Asia 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 Adriatic Metals and Platinum Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adriatic Metals Plc and Platinum Asia Investments, you can compare the effects of market volatilities on Adriatic Metals and Platinum Asia 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 Adriatic Metals with a short position of Platinum Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adriatic Metals and Platinum Asia.
Diversification Opportunities for Adriatic Metals and Platinum Asia
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Adriatic and Platinum is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Adriatic Metals Plc and Platinum Asia Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Platinum Asia Investments and Adriatic Metals 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 Adriatic Metals Plc are associated (or correlated) with Platinum Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Platinum Asia Investments has no effect on the direction of Adriatic Metals i.e., Adriatic Metals and Platinum Asia go up and down completely randomly.
Pair Corralation between Adriatic Metals and Platinum Asia
Assuming the 90 days trading horizon Adriatic Metals Plc is expected to generate 2.37 times more return on investment than Platinum Asia. However, Adriatic Metals is 2.37 times more volatile than Platinum Asia Investments. It trades about 0.13 of its potential returns per unit of risk. Platinum Asia Investments is currently generating about 0.1 per unit of risk. If you would invest 390.00 in Adriatic Metals Plc on December 31, 2024 and sell it today you would earn a total of 72.00 from holding Adriatic Metals Plc or generate 18.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Adriatic Metals Plc vs. Platinum Asia Investments
Performance |
Timeline |
Adriatic Metals Plc |
Platinum Asia Investments |
Adriatic Metals and Platinum Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adriatic Metals and Platinum Asia
The main advantage of trading using opposite Adriatic Metals and Platinum Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adriatic Metals position performs unexpectedly, Platinum Asia 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 Platinum Asia will offset losses from the drop in Platinum Asia's long position.Adriatic Metals vs. Rural Funds Group | Adriatic Metals vs. Mirrabooka Investments | Adriatic Metals vs. Platinum Asia Investments | Adriatic Metals vs. Alternative Investment Trust |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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