Correlation Between Faes Farma and Inmobiliaria Colonial
Can any of the company-specific risk be diversified away by investing in both Faes Farma and Inmobiliaria Colonial 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 Faes Farma and Inmobiliaria Colonial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Faes Farma SA and Inmobiliaria Colonial SA, you can compare the effects of market volatilities on Faes Farma and Inmobiliaria Colonial 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 Faes Farma with a short position of Inmobiliaria Colonial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Faes Farma and Inmobiliaria Colonial.
Diversification Opportunities for Faes Farma and Inmobiliaria Colonial
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Faes and Inmobiliaria is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Faes Farma SA and Inmobiliaria Colonial SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inmobiliaria Colonial and Faes Farma 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 Faes Farma SA are associated (or correlated) with Inmobiliaria Colonial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inmobiliaria Colonial has no effect on the direction of Faes Farma i.e., Faes Farma and Inmobiliaria Colonial go up and down completely randomly.
Pair Corralation between Faes Farma and Inmobiliaria Colonial
Assuming the 90 days trading horizon Faes Farma is expected to generate 1.44 times less return on investment than Inmobiliaria Colonial. In addition to that, Faes Farma is 1.03 times more volatile than Inmobiliaria Colonial SA. It trades about 0.05 of its total potential returns per unit of risk. Inmobiliaria Colonial SA is currently generating about 0.07 per unit of volatility. If you would invest 518.00 in Inmobiliaria Colonial SA on December 25, 2024 and sell it today you would earn a total of 28.00 from holding Inmobiliaria Colonial SA or generate 5.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Faes Farma SA vs. Inmobiliaria Colonial SA
Performance |
Timeline |
Faes Farma SA |
Inmobiliaria Colonial |
Faes Farma and Inmobiliaria Colonial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Faes Farma and Inmobiliaria Colonial
The main advantage of trading using opposite Faes Farma and Inmobiliaria Colonial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Faes Farma position performs unexpectedly, Inmobiliaria Colonial 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 Inmobiliaria Colonial will offset losses from the drop in Inmobiliaria Colonial's long position.Faes Farma vs. ENCE Energa y | Faes Farma vs. Almirall SA | Faes Farma vs. Viscofan | Faes Farma vs. Vidrala 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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