Correlation Between Capital Metals and Panther Metals
Can any of the company-specific risk be diversified away by investing in both Capital Metals and Panther 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 Capital Metals and Panther Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Capital Metals PLC and Panther Metals PLC, you can compare the effects of market volatilities on Capital Metals and Panther 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 Capital Metals with a short position of Panther Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Capital Metals and Panther Metals.
Diversification Opportunities for Capital Metals and Panther Metals
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Capital and Panther is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Capital Metals PLC and Panther Metals PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Panther Metals PLC and Capital 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 Capital Metals PLC are associated (or correlated) with Panther Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Panther Metals PLC has no effect on the direction of Capital Metals i.e., Capital Metals and Panther Metals go up and down completely randomly.
Pair Corralation between Capital Metals and Panther Metals
Assuming the 90 days trading horizon Capital Metals PLC is expected to generate 0.62 times more return on investment than Panther Metals. However, Capital Metals PLC is 1.6 times less risky than Panther Metals. It trades about 0.1 of its potential returns per unit of risk. Panther Metals PLC is currently generating about -0.19 per unit of risk. If you would invest 180.00 in Capital Metals PLC on December 24, 2024 and sell it today you would earn a total of 35.00 from holding Capital Metals PLC or generate 19.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Capital Metals PLC vs. Panther Metals PLC
Performance |
Timeline |
Capital Metals PLC |
Panther Metals PLC |
Capital Metals and Panther Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Capital Metals and Panther Metals
The main advantage of trading using opposite Capital Metals and Panther Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Capital Metals position performs unexpectedly, Panther 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 Panther Metals will offset losses from the drop in Panther Metals' long position.Capital Metals vs. Elmos Semiconductor SE | Capital Metals vs. Delta Air Lines | Capital Metals vs. Ryanair Holdings plc | Capital Metals vs. Cairn Homes PLC |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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