Correlation Between BTG Pactual and Magazine Luiza
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and Magazine Luiza 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 BTG Pactual and Magazine Luiza into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTG Pactual Logstica and Magazine Luiza SA, you can compare the effects of market volatilities on BTG Pactual and Magazine Luiza 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 BTG Pactual with a short position of Magazine Luiza. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and Magazine Luiza.
Diversification Opportunities for BTG Pactual and Magazine Luiza
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BTG and Magazine is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and Magazine Luiza SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magazine Luiza SA and BTG Pactual 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 BTG Pactual Logstica are associated (or correlated) with Magazine Luiza. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magazine Luiza SA has no effect on the direction of BTG Pactual i.e., BTG Pactual and Magazine Luiza go up and down completely randomly.
Pair Corralation between BTG Pactual and Magazine Luiza
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to generate 0.37 times more return on investment than Magazine Luiza. However, BTG Pactual Logstica is 2.67 times less risky than Magazine Luiza. It trades about -0.04 of its potential returns per unit of risk. Magazine Luiza SA is currently generating about -0.13 per unit of risk. If you would invest 9,915 in BTG Pactual Logstica on September 27, 2024 and sell it today you would lose (462.00) from holding BTG Pactual Logstica or give up 4.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
BTG Pactual Logstica vs. Magazine Luiza SA
Performance |
Timeline |
BTG Pactual Logstica |
Magazine Luiza SA |
BTG Pactual and Magazine Luiza Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and Magazine Luiza
The main advantage of trading using opposite BTG Pactual and Magazine Luiza positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, Magazine Luiza 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 Magazine Luiza will offset losses from the drop in Magazine Luiza's long position.BTG Pactual vs. Pedra Dourada Fundo | BTG Pactual vs. Vbi Consumo Essencial | BTG Pactual vs. Plano Plano Desenvolvimento | BTG Pactual vs. S1YM34 |
Magazine Luiza vs. Engie Brasil Energia | Magazine Luiza vs. Grendene SA | Magazine Luiza vs. M Dias Branco | Magazine Luiza vs. BTG Pactual Logstica |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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