Correlation Between Athens General and NYSE Composite
Can any of the company-specific risk be diversified away by investing in both Athens General and NYSE Composite 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 Athens General and NYSE Composite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Athens General Composite and NYSE Composite, you can compare the effects of market volatilities on Athens General and NYSE Composite 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 Athens General with a short position of NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of Athens General and NYSE Composite.
Diversification Opportunities for Athens General and NYSE Composite
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Athens and NYSE is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Athens General Composite and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Athens General 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 Athens General Composite are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of Athens General i.e., Athens General and NYSE Composite go up and down completely randomly.
Pair Corralation between Athens General and NYSE Composite
Assuming the 90 days trading horizon Athens General is expected to generate 16.04 times less return on investment than NYSE Composite. In addition to that, Athens General is 1.22 times more volatile than NYSE Composite. It trades about 0.01 of its total potential returns per unit of risk. NYSE Composite is currently generating about 0.27 per unit of volatility. If you would invest 1,945,669 in NYSE Composite on August 30, 2024 and sell it today you would earn a total of 75,313 from holding NYSE Composite or generate 3.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Athens General Composite vs. NYSE Composite
Performance |
Timeline |
Athens General and NYSE Composite Volatility Contrast
Predicted Return Density |
Returns |
Athens General Composite
Pair trading matchups for Athens General
NYSE Composite
Pair trading matchups for NYSE Composite
Pair Trading with Athens General and NYSE Composite
The main advantage of trading using opposite Athens General and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Athens General position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.Athens General vs. Thrace Plastics Holding | Athens General vs. Athens Medical CSA | Athens General vs. Interlife General Insurance | Athens General vs. National Bank of |
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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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