Correlation Between ALIOR BANK and Gecina SA
Can any of the company-specific risk be diversified away by investing in both ALIOR BANK and Gecina SA 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 ALIOR BANK and Gecina SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALIOR BANK and Gecina SA, you can compare the effects of market volatilities on ALIOR BANK and Gecina SA 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 ALIOR BANK with a short position of Gecina SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALIOR BANK and Gecina SA.
Diversification Opportunities for ALIOR BANK and Gecina SA
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ALIOR and Gecina is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding ALIOR BANK and Gecina SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gecina SA and ALIOR BANK 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 ALIOR BANK are associated (or correlated) with Gecina SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gecina SA has no effect on the direction of ALIOR BANK i.e., ALIOR BANK and Gecina SA go up and down completely randomly.
Pair Corralation between ALIOR BANK and Gecina SA
Assuming the 90 days trading horizon ALIOR BANK is expected to generate 1.98 times more return on investment than Gecina SA. However, ALIOR BANK is 1.98 times more volatile than Gecina SA. It trades about 0.0 of its potential returns per unit of risk. Gecina SA is currently generating about -0.24 per unit of risk. If you would invest 2,162 in ALIOR BANK on September 19, 2024 and sell it today you would lose (48.00) from holding ALIOR BANK or give up 2.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
ALIOR BANK vs. Gecina SA
Performance |
Timeline |
ALIOR BANK |
Gecina SA |
ALIOR BANK and Gecina SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALIOR BANK and Gecina SA
The main advantage of trading using opposite ALIOR BANK and Gecina SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALIOR BANK position performs unexpectedly, Gecina SA 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 Gecina SA will offset losses from the drop in Gecina SA's long position.The idea behind ALIOR BANK and Gecina SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Gecina SA vs. North American Construction | Gecina SA vs. ALIOR BANK | Gecina SA vs. WIMFARM SA EO | Gecina SA vs. Sterling Construction |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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