Correlation Between BTG Pactual and Kinea Creditas
Can any of the company-specific risk be diversified away by investing in both BTG Pactual and Kinea Creditas 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 Kinea Creditas 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 Kinea Creditas Fundo, you can compare the effects of market volatilities on BTG Pactual and Kinea Creditas 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 Kinea Creditas. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTG Pactual and Kinea Creditas.
Diversification Opportunities for BTG Pactual and Kinea Creditas
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BTG and Kinea is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding BTG Pactual Logstica and Kinea Creditas Fundo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kinea Creditas Fundo 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 Kinea Creditas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kinea Creditas Fundo has no effect on the direction of BTG Pactual i.e., BTG Pactual and Kinea Creditas go up and down completely randomly.
Pair Corralation between BTG Pactual and Kinea Creditas
Assuming the 90 days trading horizon BTG Pactual Logstica is expected to generate 0.59 times more return on investment than Kinea Creditas. However, BTG Pactual Logstica is 1.69 times less risky than Kinea Creditas. It trades about -0.36 of its potential returns per unit of risk. Kinea Creditas Fundo is currently generating about -0.22 per unit of risk. If you would invest 9,634 in BTG Pactual Logstica on September 6, 2024 and sell it today you would lose (667.00) from holding BTG Pactual Logstica or give up 6.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BTG Pactual Logstica vs. Kinea Creditas Fundo
Performance |
Timeline |
BTG Pactual Logstica |
Kinea Creditas Fundo |
BTG Pactual and Kinea Creditas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTG Pactual and Kinea Creditas
The main advantage of trading using opposite BTG Pactual and Kinea Creditas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTG Pactual position performs unexpectedly, Kinea Creditas 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 Kinea Creditas will offset losses from the drop in Kinea Creditas' long position.BTG Pactual vs. Fundo Investimento Imobiliario | BTG Pactual vs. KILIMA VOLKANO RECEBVEIS | BTG Pactual vs. DEVANT PROPERTIES FUNDO | BTG Pactual vs. SPARTA FIAGRO FDO |
Kinea Creditas vs. Fras le SA | Kinea Creditas vs. Western Digital | Kinea Creditas vs. Clave Indices De | Kinea Creditas 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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