Correlation Between TOTAL GABON and AEGEAN AIRLINES
Can any of the company-specific risk be diversified away by investing in both TOTAL GABON and AEGEAN AIRLINES 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 TOTAL GABON and AEGEAN AIRLINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TOTAL GABON and AEGEAN AIRLINES, you can compare the effects of market volatilities on TOTAL GABON and AEGEAN AIRLINES 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 TOTAL GABON with a short position of AEGEAN AIRLINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of TOTAL GABON and AEGEAN AIRLINES.
Diversification Opportunities for TOTAL GABON and AEGEAN AIRLINES
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between TOTAL and AEGEAN is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding TOTAL GABON and AEGEAN AIRLINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AEGEAN AIRLINES and TOTAL GABON 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 TOTAL GABON are associated (or correlated) with AEGEAN AIRLINES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AEGEAN AIRLINES has no effect on the direction of TOTAL GABON i.e., TOTAL GABON and AEGEAN AIRLINES go up and down completely randomly.
Pair Corralation between TOTAL GABON and AEGEAN AIRLINES
Assuming the 90 days trading horizon TOTAL GABON is expected to generate 1.94 times more return on investment than AEGEAN AIRLINES. However, TOTAL GABON is 1.94 times more volatile than AEGEAN AIRLINES. It trades about 0.11 of its potential returns per unit of risk. AEGEAN AIRLINES is currently generating about -0.17 per unit of risk. If you would invest 15,900 in TOTAL GABON on September 5, 2024 and sell it today you would earn a total of 2,750 from holding TOTAL GABON or generate 17.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TOTAL GABON vs. AEGEAN AIRLINES
Performance |
Timeline |
TOTAL GABON |
AEGEAN AIRLINES |
TOTAL GABON and AEGEAN AIRLINES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TOTAL GABON and AEGEAN AIRLINES
The main advantage of trading using opposite TOTAL GABON and AEGEAN AIRLINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TOTAL GABON position performs unexpectedly, AEGEAN AIRLINES 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 AEGEAN AIRLINES will offset losses from the drop in AEGEAN AIRLINES's long position.TOTAL GABON vs. ELMOS SEMICONDUCTOR | TOTAL GABON vs. Flutter Entertainment PLC | TOTAL GABON vs. REMEDY ENTERTAINMENT OYJ | TOTAL GABON vs. Universal Entertainment |
AEGEAN AIRLINES vs. TOTAL GABON | AEGEAN AIRLINES vs. Walgreens Boots Alliance | AEGEAN AIRLINES vs. Peak Resources Limited |
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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