Correlation Between Applied Materials and Power Metal
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Power Metal 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 Applied Materials and Power Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Power Metal Resources, you can compare the effects of market volatilities on Applied Materials and Power Metal 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 Applied Materials with a short position of Power Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Power Metal.
Diversification Opportunities for Applied Materials and Power Metal
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Applied and Power is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Power Metal Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Metal Resources and Applied Materials 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 Applied Materials are associated (or correlated) with Power Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Metal Resources has no effect on the direction of Applied Materials i.e., Applied Materials and Power Metal go up and down completely randomly.
Pair Corralation between Applied Materials and Power Metal
Assuming the 90 days trading horizon Applied Materials is expected to under-perform the Power Metal. But the stock apears to be less risky and, when comparing its historical volatility, Applied Materials is 1.35 times less risky than Power Metal. The stock trades about -0.12 of its potential returns per unit of risk. The Power Metal Resources is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,450 in Power Metal Resources on September 26, 2024 and sell it today you would lose (75.00) from holding Power Metal Resources or give up 5.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials vs. Power Metal Resources
Performance |
Timeline |
Applied Materials |
Power Metal Resources |
Applied Materials and Power Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Power Metal
The main advantage of trading using opposite Applied Materials and Power Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Power Metal 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 Power Metal will offset losses from the drop in Power Metal's long position.Applied Materials vs. Uniper SE | Applied Materials vs. Mulberry Group PLC | Applied Materials vs. London Security Plc | Applied Materials vs. Triad Group PLC |
Power Metal vs. Givaudan SA | Power Metal vs. Antofagasta PLC | Power Metal vs. Ferrexpo PLC | Power Metal vs. Atalaya Mining |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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