Correlation Between BRF SA and Eternit SA
Can any of the company-specific risk be diversified away by investing in both BRF SA and Eternit SA 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 BRF SA and Eternit SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BRF SA and Eternit SA, you can compare the effects of market volatilities on BRF SA and Eternit SA 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 BRF SA with a short position of Eternit SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of BRF SA and Eternit SA.
Diversification Opportunities for BRF SA and Eternit SA
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BRF and Eternit is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding BRF SA and Eternit SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eternit SA and BRF SA 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 BRF SA are associated (or correlated) with Eternit SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eternit SA has no effect on the direction of BRF SA i.e., BRF SA and Eternit SA go up and down completely randomly.
Pair Corralation between BRF SA and Eternit SA
Assuming the 90 days trading horizon BRF SA is expected to under-perform the Eternit SA. In addition to that, BRF SA is 1.79 times more volatile than Eternit SA. It trades about -0.15 of its total potential returns per unit of risk. Eternit SA is currently generating about -0.02 per unit of volatility. If you would invest 504.00 in Eternit SA on December 30, 2024 and sell it today you would lose (11.00) from holding Eternit SA or give up 2.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BRF SA vs. Eternit SA
Performance |
Timeline |
BRF SA |
Eternit SA |
BRF SA and Eternit SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BRF SA and Eternit SA
The main advantage of trading using opposite BRF SA and Eternit SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BRF SA position performs unexpectedly, Eternit SA 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 Eternit SA will offset losses from the drop in Eternit SA's long position.The idea behind BRF SA and Eternit SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Eternit SA vs. Marcopolo SA | Eternit SA vs. Randon SA Implementos | Eternit SA vs. Companhia Siderrgica Nacional | Eternit SA vs. Positivo Tecnologia SA |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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