Correlation Between Forsys Metals and American Electric
Can any of the company-specific risk be diversified away by investing in both Forsys Metals and American Electric 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 Forsys Metals and American Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forsys Metals Corp and American Electric Power, you can compare the effects of market volatilities on Forsys Metals and American Electric 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 Forsys Metals with a short position of American Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forsys Metals and American Electric.
Diversification Opportunities for Forsys Metals and American Electric
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Forsys and American is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Forsys Metals Corp and American Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Electric Power and Forsys 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 Forsys Metals Corp are associated (or correlated) with American Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Electric Power has no effect on the direction of Forsys Metals i.e., Forsys Metals and American Electric go up and down completely randomly.
Pair Corralation between Forsys Metals and American Electric
Assuming the 90 days horizon Forsys Metals Corp is expected to generate 3.68 times more return on investment than American Electric. However, Forsys Metals is 3.68 times more volatile than American Electric Power. It trades about 0.04 of its potential returns per unit of risk. American Electric Power is currently generating about 0.0 per unit of risk. If you would invest 46.00 in Forsys Metals Corp on October 10, 2024 and sell it today you would earn a total of 2.00 from holding Forsys Metals Corp or generate 4.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Forsys Metals Corp vs. American Electric Power
Performance |
Timeline |
Forsys Metals Corp |
American Electric Power |
Forsys Metals and American Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Forsys Metals and American Electric
The main advantage of trading using opposite Forsys Metals and American Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forsys Metals position performs unexpectedly, American Electric 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 American Electric will offset losses from the drop in American Electric's long position.Forsys Metals vs. SALESFORCE INC CDR | Forsys Metals vs. CARSALESCOM | Forsys Metals vs. New Residential Investment | Forsys Metals vs. Apollo Investment 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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