Correlation Between BTG Pactual and Automatic Data
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and Automatic Data 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 Automatic Data 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 Automatic Data Processing, you can compare the effects of market volatilities on BTG Pactual and Automatic Data 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 Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and Automatic Data.
Diversification Opportunities for BTG Pactual and Automatic Data
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BTG and Automatic is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing 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 Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of BTG Pactual i.e., BTG Pactual and Automatic Data go up and down completely randomly.
Pair Corralation between BTG Pactual and Automatic Data
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to generate 0.27 times more return on investment than Automatic Data. However, BTG Pactual Logstica is 3.73 times less risky than Automatic Data. It trades about -0.01 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.0 per unit of risk. If you would invest 10,011 in BTG Pactual Logstica on April 20, 2025 and sell it today you would lose (26.00) from holding BTG Pactual Logstica or give up 0.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BTG Pactual Logstica vs. Automatic Data Processing
Performance |
Timeline |
BTG Pactual Logstica |
Automatic Data Processing |
BTG Pactual and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and Automatic Data
The main advantage of trading using opposite BTG Pactual and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.BTG Pactual vs. Btg Pactual Real | BTG Pactual vs. KILIMA VOLKANO RECEBVEIS | BTG Pactual vs. SPARTA FIAGRO FDO | BTG Pactual vs. BB Renda Corporativa |
Automatic Data vs. Micron Technology | Automatic Data vs. Lumen Technologies, | Automatic Data vs. Marfrig Global Foods | Automatic Data vs. Barclays PLC |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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