Correlation Between Cornish Metals and Rockfire Resources
Can any of the company-specific risk be diversified away by investing in both Cornish Metals and Rockfire Resources 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 Cornish Metals and Rockfire Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cornish Metals and Rockfire Resources plc, you can compare the effects of market volatilities on Cornish Metals and Rockfire Resources 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 Cornish Metals with a short position of Rockfire Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cornish Metals and Rockfire Resources.
Diversification Opportunities for Cornish Metals and Rockfire Resources
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Cornish and Rockfire is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Cornish Metals and Rockfire Resources plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rockfire Resources plc and Cornish 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 Cornish Metals are associated (or correlated) with Rockfire Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rockfire Resources plc has no effect on the direction of Cornish Metals i.e., Cornish Metals and Rockfire Resources go up and down completely randomly.
Pair Corralation between Cornish Metals and Rockfire Resources
Assuming the 90 days trading horizon Cornish Metals is expected to generate 4.67 times less return on investment than Rockfire Resources. But when comparing it to its historical volatility, Cornish Metals is 5.05 times less risky than Rockfire Resources. It trades about 0.13 of its potential returns per unit of risk. Rockfire Resources plc is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 11.00 in Rockfire Resources plc on October 9, 2024 and sell it today you would earn a total of 6.00 from holding Rockfire Resources plc or generate 54.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cornish Metals vs. Rockfire Resources plc
Performance |
Timeline |
Cornish Metals |
Rockfire Resources plc |
Cornish Metals and Rockfire Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cornish Metals and Rockfire Resources
The main advantage of trading using opposite Cornish Metals and Rockfire Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cornish Metals position performs unexpectedly, Rockfire Resources 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 Rockfire Resources will offset losses from the drop in Rockfire Resources' long position.Cornish Metals vs. Givaudan SA | Cornish Metals vs. Antofagasta PLC | Cornish Metals vs. Ferrexpo PLC | Cornish Metals vs. Atalaya Mining |
Rockfire Resources vs. EJF Investments | Rockfire Resources vs. Atalaya Mining | Rockfire Resources vs. Caledonia Investments | Rockfire Resources vs. Cornish Metals |
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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