Correlation Between Platinum Asia and Strickland Metals
Can any of the company-specific risk be diversified away by investing in both Platinum Asia and Strickland Metals 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 Strickland Metals 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 Strickland Metals, you can compare the effects of market volatilities on Platinum Asia and Strickland Metals 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 Strickland Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Platinum Asia and Strickland Metals.
Diversification Opportunities for Platinum Asia and Strickland Metals
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Platinum and Strickland is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Platinum Asia Investments and Strickland Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strickland Metals 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 Strickland Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strickland Metals has no effect on the direction of Platinum Asia i.e., Platinum Asia and Strickland Metals go up and down completely randomly.
Pair Corralation between Platinum Asia and Strickland Metals
Assuming the 90 days trading horizon Platinum Asia is expected to generate 14.59 times less return on investment than Strickland Metals. But when comparing it to its historical volatility, Platinum Asia Investments is 3.88 times less risky than Strickland Metals. It trades about 0.05 of its potential returns per unit of risk. Strickland Metals is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 7.70 in Strickland Metals on September 14, 2024 and sell it today you would earn a total of 1.20 from holding Strickland Metals or generate 15.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Platinum Asia Investments vs. Strickland Metals
Performance |
Timeline |
Platinum Asia Investments |
Strickland Metals |
Platinum Asia and Strickland Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Platinum Asia and Strickland Metals
The main advantage of trading using opposite Platinum Asia and Strickland Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Platinum Asia position performs unexpectedly, Strickland Metals 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 Strickland Metals will offset losses from the drop in Strickland Metals' long position.Platinum Asia vs. Audio Pixels Holdings | Platinum Asia vs. Iodm | Platinum Asia vs. Nsx | Platinum Asia vs. TTG Fintech |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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