Correlation Between Cornish Metals and Hochschild Mining
Can any of the company-specific risk be diversified away by investing in both Cornish Metals and Hochschild 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 Cornish Metals and Hochschild Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cornish Metals and Hochschild Mining plc, you can compare the effects of market volatilities on Cornish Metals and Hochschild 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 Cornish Metals with a short position of Hochschild Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cornish Metals and Hochschild Mining.
Diversification Opportunities for Cornish Metals and Hochschild Mining
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cornish and Hochschild is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Cornish Metals and Hochschild Mining plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hochschild Mining 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 Hochschild Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hochschild Mining plc has no effect on the direction of Cornish Metals i.e., Cornish Metals and Hochschild Mining go up and down completely randomly.
Pair Corralation between Cornish Metals and Hochschild Mining
Assuming the 90 days trading horizon Cornish Metals is expected to generate 1.15 times more return on investment than Hochschild Mining. However, Cornish Metals is 1.15 times more volatile than Hochschild Mining plc. It trades about 0.14 of its potential returns per unit of risk. Hochschild Mining plc is currently generating about 0.11 per unit of risk. If you would invest 670.00 in Cornish Metals on September 14, 2024 and sell it today you would earn a total of 215.00 from holding Cornish Metals or generate 32.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cornish Metals vs. Hochschild Mining plc
Performance |
Timeline |
Cornish Metals |
Hochschild Mining plc |
Cornish Metals and Hochschild Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cornish Metals and Hochschild Mining
The main advantage of trading using opposite Cornish Metals and Hochschild Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cornish Metals position performs unexpectedly, Hochschild 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 Hochschild Mining will offset losses from the drop in Hochschild Mining's long position.Cornish Metals vs. Givaudan SA | Cornish Metals vs. Antofagasta PLC | Cornish Metals vs. Ferrexpo PLC | Cornish Metals vs. Atalaya Mining |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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