Correlation Between Eurobank Ergasias and Hellenic Petroleum
Can any of the company-specific risk be diversified away by investing in both Eurobank Ergasias and Hellenic Petroleum 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 Eurobank Ergasias and Hellenic Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eurobank Ergasias Services and Hellenic Petroleum SA, you can compare the effects of market volatilities on Eurobank Ergasias and Hellenic Petroleum 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 Eurobank Ergasias with a short position of Hellenic Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eurobank Ergasias and Hellenic Petroleum.
Diversification Opportunities for Eurobank Ergasias and Hellenic Petroleum
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Eurobank and Hellenic is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Eurobank Ergasias Services and Hellenic Petroleum SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hellenic Petroleum and Eurobank Ergasias 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 Eurobank Ergasias Services are associated (or correlated) with Hellenic Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hellenic Petroleum has no effect on the direction of Eurobank Ergasias i.e., Eurobank Ergasias and Hellenic Petroleum go up and down completely randomly.
Pair Corralation between Eurobank Ergasias and Hellenic Petroleum
Assuming the 90 days trading horizon Eurobank Ergasias Services is expected to under-perform the Hellenic Petroleum. In addition to that, Eurobank Ergasias is 1.71 times more volatile than Hellenic Petroleum SA. It trades about -0.05 of its total potential returns per unit of risk. Hellenic Petroleum SA is currently generating about -0.06 per unit of volatility. If you would invest 790.00 in Hellenic Petroleum SA on January 26, 2025 and sell it today you would lose (30.00) from holding Hellenic Petroleum SA or give up 3.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Eurobank Ergasias Services vs. Hellenic Petroleum SA
Performance |
Timeline |
Eurobank Ergasias |
Hellenic Petroleum |
Eurobank Ergasias and Hellenic Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eurobank Ergasias and Hellenic Petroleum
The main advantage of trading using opposite Eurobank Ergasias and Hellenic Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eurobank Ergasias position performs unexpectedly, Hellenic Petroleum 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 Hellenic Petroleum will offset losses from the drop in Hellenic Petroleum's long position.Eurobank Ergasias vs. Bank of Greece | Eurobank Ergasias vs. Attica Bank SA | Eurobank Ergasias vs. National Bank of | Eurobank Ergasias vs. N Leventeris SA |
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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 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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