Correlation Between Discover Financial and GreenX Metals
Can any of the company-specific risk be diversified away by investing in both Discover Financial and GreenX 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 Discover Financial and GreenX Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Discover Financial Services and GreenX Metals, you can compare the effects of market volatilities on Discover Financial and GreenX 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 Discover Financial with a short position of GreenX Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Discover Financial and GreenX Metals.
Diversification Opportunities for Discover Financial and GreenX Metals
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Discover and GreenX is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Discover Financial Services and GreenX Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenX Metals and Discover Financial 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 Discover Financial Services are associated (or correlated) with GreenX Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenX Metals has no effect on the direction of Discover Financial i.e., Discover Financial and GreenX Metals go up and down completely randomly.
Pair Corralation between Discover Financial and GreenX Metals
Assuming the 90 days trading horizon Discover Financial Services is expected to generate 0.6 times more return on investment than GreenX Metals. However, Discover Financial Services is 1.67 times less risky than GreenX Metals. It trades about 0.17 of its potential returns per unit of risk. GreenX Metals is currently generating about 0.01 per unit of risk. If you would invest 13,200 in Discover Financial Services on September 5, 2024 and sell it today you would earn a total of 4,405 from holding Discover Financial Services or generate 33.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Discover Financial Services vs. GreenX Metals
Performance |
Timeline |
Discover Financial |
GreenX Metals |
Discover Financial and GreenX Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Discover Financial and GreenX Metals
The main advantage of trading using opposite Discover Financial and GreenX Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Discover Financial position performs unexpectedly, GreenX 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 GreenX Metals will offset losses from the drop in GreenX Metals' long position.Discover Financial vs. GreenX Metals | Discover Financial vs. Panther Metals PLC | Discover Financial vs. Ecclesiastical Insurance Office | Discover Financial vs. Cornish Metals |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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