Correlation Between Electra Battery and Capstone Mining
Can any of the company-specific risk be diversified away by investing in both Electra Battery and Capstone Mining 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 Electra Battery and Capstone Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Electra Battery Materials and Capstone Mining Corp, you can compare the effects of market volatilities on Electra Battery and Capstone Mining 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 Electra Battery with a short position of Capstone Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Electra Battery and Capstone Mining.
Diversification Opportunities for Electra Battery and Capstone Mining
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Electra and Capstone is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Electra Battery Materials and Capstone Mining Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capstone Mining Corp and Electra Battery 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 Electra Battery Materials are associated (or correlated) with Capstone Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capstone Mining Corp has no effect on the direction of Electra Battery i.e., Electra Battery and Capstone Mining go up and down completely randomly.
Pair Corralation between Electra Battery and Capstone Mining
Assuming the 90 days trading horizon Electra Battery Materials is expected to under-perform the Capstone Mining. In addition to that, Electra Battery is 2.27 times more volatile than Capstone Mining Corp. It trades about -0.01 of its total potential returns per unit of risk. Capstone Mining Corp is currently generating about 0.04 per unit of volatility. If you would invest 609.00 in Capstone Mining Corp on September 29, 2024 and sell it today you would earn a total of 286.00 from holding Capstone Mining Corp or generate 46.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Electra Battery Materials vs. Capstone Mining Corp
Performance |
Timeline |
Electra Battery Materials |
Capstone Mining Corp |
Electra Battery and Capstone Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Electra Battery and Capstone Mining
The main advantage of trading using opposite Electra Battery and Capstone Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Electra Battery position performs unexpectedly, Capstone Mining 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 Capstone Mining will offset losses from the drop in Capstone Mining's long position.Electra Battery vs. Monarca Minerals | Electra Battery vs. Outcrop Gold Corp | Electra Battery vs. Grande Portage Resources | Electra Battery vs. Klondike Silver 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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