Correlation Between Penn National and Coca-Cola European
Can any of the company-specific risk be diversified away by investing in both Penn National and Coca-Cola European 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 Penn National and Coca-Cola European into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penn National Gaming and Coca Cola European Partners, you can compare the effects of market volatilities on Penn National and Coca-Cola European 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 Penn National with a short position of Coca-Cola European. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Coca-Cola European.
Diversification Opportunities for Penn National and Coca-Cola European
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Penn and Coca-Cola is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Coca Cola European Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola European and Penn National 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 Penn National Gaming are associated (or correlated) with Coca-Cola European. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coca Cola European has no effect on the direction of Penn National i.e., Penn National and Coca-Cola European go up and down completely randomly.
Pair Corralation between Penn National and Coca-Cola European
Assuming the 90 days horizon Penn National Gaming is expected to generate 1.64 times more return on investment than Coca-Cola European. However, Penn National is 1.64 times more volatile than Coca Cola European Partners. It trades about 0.08 of its potential returns per unit of risk. Coca Cola European Partners is currently generating about 0.07 per unit of risk. If you would invest 1,705 in Penn National Gaming on October 6, 2024 and sell it today you would earn a total of 203.00 from holding Penn National Gaming or generate 11.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. Coca Cola European Partners
Performance |
Timeline |
Penn National Gaming |
Coca Cola European |
Penn National and Coca-Cola European Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Coca-Cola European
The main advantage of trading using opposite Penn National and Coca-Cola European positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, Coca-Cola European 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 Coca-Cola European will offset losses from the drop in Coca-Cola European's long position.Penn National vs. Ribbon Communications | Penn National vs. Zoom Video Communications | Penn National vs. Charter Communications | Penn National vs. REVO INSURANCE SPA |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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