Correlation Between Coeur Mining and Baltic Panamax

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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.
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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 Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

Coeur Mining  vs.  Baltic Panamax

 Performance 
       Timeline  

Coeur Mining and Baltic Panamax Volatility Contrast

   Predicted Return Density   
       Returns  

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.
The idea behind Coeur Mining and Baltic Panamax pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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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