Correlation Between Coeur Mining and Baltic Panamax
Can any of the company-specific risk be diversified away by investing in both Coeur Mining and Baltic Panamax 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 Coeur Mining and Baltic Panamax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Coeur Mining and Baltic Panamax, you can compare the effects of market volatilities on Coeur Mining and Baltic Panamax 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 Coeur Mining with a short position of Baltic Panamax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coeur Mining and Baltic Panamax.
Diversification Opportunities for Coeur Mining and Baltic Panamax
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Coeur and Baltic is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Coeur Mining and Baltic Panamax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baltic Panamax and Coeur Mining 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 Coeur Mining are associated (or correlated) with Baltic Panamax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baltic Panamax has no effect on the direction of Coeur Mining i.e., Coeur Mining and Baltic Panamax go up and down completely randomly.
Pair Corralation between Coeur Mining and Baltic Panamax
Assuming the 90 days trading horizon Coeur Mining is expected to generate 2.52 times more return on investment than Baltic Panamax. However, Coeur Mining is 2.52 times more volatile than Baltic Panamax. It trades about -0.06 of its potential returns per unit of risk. Baltic Panamax is currently generating about -0.31 per unit of risk. If you would invest 625.00 in Coeur Mining on September 24, 2024 and sell it today you would lose (40.00) from holding Coeur Mining or give up 6.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Coeur Mining vs. Baltic Panamax
Performance |
Timeline |
Coeur Mining and Baltic Panamax Volatility Contrast
Predicted Return Density |
Returns |
Coeur Mining
Pair trading matchups for Coeur Mining
Baltic Panamax
Pair trading matchups for Baltic Panamax
Pair Trading with Coeur Mining and Baltic Panamax
The main advantage of trading using opposite Coeur Mining and Baltic Panamax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coeur Mining position performs unexpectedly, Baltic Panamax 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 Baltic Panamax will offset losses from the drop in Baltic Panamax's long position.Coeur Mining vs. Uniper SE | Coeur Mining vs. Mulberry Group PLC | Coeur Mining vs. London Security Plc | Coeur Mining vs. Triad Group PLC |
Baltic Panamax vs. Oakley Capital Investments | Baltic Panamax vs. Herald Investment Trust | Baltic Panamax vs. Lowland Investment Co | Baltic Panamax vs. Kinnevik Investment AB |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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