Correlation Between Companhia Habitasul and Exxon Mobil
Can any of the company-specific risk be diversified away by investing in both Companhia Habitasul and Exxon Mobil 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 Companhia Habitasul and Exxon Mobil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Companhia Habitasul de and Exxon Mobil, you can compare the effects of market volatilities on Companhia Habitasul and Exxon Mobil 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 Companhia Habitasul with a short position of Exxon Mobil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Companhia Habitasul and Exxon Mobil.
Diversification Opportunities for Companhia Habitasul and Exxon Mobil
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Companhia and Exxon is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Companhia Habitasul de and Exxon Mobil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exxon Mobil and Companhia Habitasul 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 Companhia Habitasul de are associated (or correlated) with Exxon Mobil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exxon Mobil has no effect on the direction of Companhia Habitasul i.e., Companhia Habitasul and Exxon Mobil go up and down completely randomly.
Pair Corralation between Companhia Habitasul and Exxon Mobil
Assuming the 90 days trading horizon Companhia Habitasul de is expected to under-perform the Exxon Mobil. But the preferred stock apears to be less risky and, when comparing its historical volatility, Companhia Habitasul de is 1.09 times less risky than Exxon Mobil. The preferred stock trades about -0.07 of its potential returns per unit of risk. The Exxon Mobil is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 8,096 in Exxon Mobil on October 20, 2024 and sell it today you would earn a total of 426.00 from holding Exxon Mobil or generate 5.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Companhia Habitasul de vs. Exxon Mobil
Performance |
Timeline |
Companhia Habitasul |
Exxon Mobil |
Companhia Habitasul and Exxon Mobil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Companhia Habitasul and Exxon Mobil
The main advantage of trading using opposite Companhia Habitasul and Exxon Mobil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Companhia Habitasul position performs unexpectedly, Exxon Mobil 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 Exxon Mobil will offset losses from the drop in Exxon Mobil's long position.Companhia Habitasul vs. Hotis Othon SA | Companhia Habitasul vs. Hrcules SA | Companhia Habitasul vs. Eucatex SA Indstria | Companhia Habitasul vs. General Shopping e |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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