Correlation Between Hang Seng and Eurobank Ergasias
Can any of the company-specific risk be diversified away by investing in both Hang Seng and Eurobank Ergasias 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 Hang Seng and Eurobank Ergasias into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hang Seng Bank and Eurobank Ergasias Services, you can compare the effects of market volatilities on Hang Seng and Eurobank Ergasias 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 Hang Seng with a short position of Eurobank Ergasias. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hang Seng and Eurobank Ergasias.
Diversification Opportunities for Hang Seng and Eurobank Ergasias
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hang and Eurobank is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Hang Seng Bank and Eurobank Ergasias Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eurobank Ergasias and Hang Seng 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 Hang Seng Bank are associated (or correlated) with Eurobank Ergasias. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eurobank Ergasias has no effect on the direction of Hang Seng i.e., Hang Seng and Eurobank Ergasias go up and down completely randomly.
Pair Corralation between Hang Seng and Eurobank Ergasias
Assuming the 90 days horizon Hang Seng Bank is expected to generate 0.79 times more return on investment than Eurobank Ergasias. However, Hang Seng Bank is 1.27 times less risky than Eurobank Ergasias. It trades about 0.14 of its potential returns per unit of risk. Eurobank Ergasias Services is currently generating about 0.09 per unit of risk. If you would invest 1,174 in Hang Seng Bank on December 29, 2024 and sell it today you would earn a total of 184.00 from holding Hang Seng Bank or generate 15.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 86.89% |
Values | Daily Returns |
Hang Seng Bank vs. Eurobank Ergasias Services
Performance |
Timeline |
Hang Seng Bank |
Eurobank Ergasias |
Hang Seng and Eurobank Ergasias Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hang Seng and Eurobank Ergasias
The main advantage of trading using opposite Hang Seng and Eurobank Ergasias positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hang Seng position performs unexpectedly, Eurobank Ergasias 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 Eurobank Ergasias will offset losses from the drop in Eurobank Ergasias' long position.Hang Seng vs. Caixabank SA ADR | Hang Seng vs. Commercial International Bank | Hang Seng vs. PT Bank Rakyat | Hang Seng vs. Riverview Bancorp |
Eurobank Ergasias vs. Lithium Americas Corp | Eurobank Ergasias vs. Barrick Gold Corp | Eurobank Ergasias vs. Kaiser Aluminum | Eurobank Ergasias vs. Vishay Intertechnology |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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