Correlation Between General Commercial and Attica Bank
Can any of the company-specific risk be diversified away by investing in both General Commercial and Attica Bank 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 General Commercial and Attica Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Commercial Industrial and Attica Bank SA, you can compare the effects of market volatilities on General Commercial and Attica Bank 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 General Commercial with a short position of Attica Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Commercial and Attica Bank.
Diversification Opportunities for General Commercial and Attica Bank
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between General and Attica is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding General Commercial Industrial and Attica Bank SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Attica Bank SA and General Commercial 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 General Commercial Industrial are associated (or correlated) with Attica Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Attica Bank SA has no effect on the direction of General Commercial i.e., General Commercial and Attica Bank go up and down completely randomly.
Pair Corralation between General Commercial and Attica Bank
Assuming the 90 days trading horizon General Commercial is expected to generate 1.94 times less return on investment than Attica Bank. But when comparing it to its historical volatility, General Commercial Industrial is 1.3 times less risky than Attica Bank. It trades about 0.21 of its potential returns per unit of risk. Attica Bank SA is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 75.00 in Attica Bank SA on April 24, 2025 and sell it today you would earn a total of 45.00 from holding Attica Bank SA or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Commercial Industrial vs. Attica Bank SA
Performance |
Timeline |
General Commercial |
Attica Bank SA |
General Commercial and Attica Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Commercial and Attica Bank
The main advantage of trading using opposite General Commercial and Attica Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Commercial position performs unexpectedly, Attica Bank 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 Attica Bank will offset losses from the drop in Attica Bank's long position.General Commercial vs. Ekter SA | General Commercial vs. Elton International Trading | General Commercial vs. Piraeus Port Authority | General Commercial vs. Hellenic Petroleum 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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