Correlation Between Power Metal and Golden Metal
Can any of the company-specific risk be diversified away by investing in both Power Metal and Golden 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 Power Metal and Golden Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Metal Resources and Golden Metal Resources, you can compare the effects of market volatilities on Power Metal and Golden 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 Power Metal with a short position of Golden Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Metal and Golden Metal.
Diversification Opportunities for Power Metal and Golden Metal
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Power and Golden is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Power Metal Resources and Golden Metal Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Metal Resources and Power Metal 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 Power Metal Resources are associated (or correlated) with Golden Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Metal Resources has no effect on the direction of Power Metal i.e., Power Metal and Golden Metal go up and down completely randomly.
Pair Corralation between Power Metal and Golden Metal
Assuming the 90 days trading horizon Power Metal Resources is expected to under-perform the Golden Metal. But the stock apears to be less risky and, when comparing its historical volatility, Power Metal Resources is 1.19 times less risky than Golden Metal. The stock trades about 0.0 of its potential returns per unit of risk. The Golden Metal Resources is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,900 in Golden Metal Resources on September 15, 2024 and sell it today you would earn a total of 50.00 from holding Golden Metal Resources or generate 1.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Power Metal Resources vs. Golden Metal Resources
Performance |
Timeline |
Power Metal Resources |
Golden Metal Resources |
Power Metal and Golden Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Metal and Golden Metal
The main advantage of trading using opposite Power Metal and Golden Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Metal position performs unexpectedly, Golden 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 Golden Metal will offset losses from the drop in Golden Metal's long position.Power Metal vs. Gaming Realms plc | Power Metal vs. Scandic Hotels Group | Power Metal vs. Dalata Hotel Group | Power Metal vs. Monster Beverage Corp |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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