Correlation Between Oi SA and Iochpe Maxion
Can any of the company-specific risk be diversified away by investing in both Oi SA and Iochpe Maxion 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 Oi SA and Iochpe Maxion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oi SA and Iochpe Maxion SA, you can compare the effects of market volatilities on Oi SA and Iochpe Maxion 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 Oi SA with a short position of Iochpe Maxion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oi SA and Iochpe Maxion.
Diversification Opportunities for Oi SA and Iochpe Maxion
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between OIBR4 and Iochpe is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Oi SA and Iochpe Maxion SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Iochpe Maxion SA and Oi 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 Oi SA are associated (or correlated) with Iochpe Maxion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Iochpe Maxion SA has no effect on the direction of Oi SA i.e., Oi SA and Iochpe Maxion go up and down completely randomly.
Pair Corralation between Oi SA and Iochpe Maxion
Assuming the 90 days trading horizon Oi SA is expected to under-perform the Iochpe Maxion. In addition to that, Oi SA is 2.0 times more volatile than Iochpe Maxion SA. It trades about -0.04 of its total potential returns per unit of risk. Iochpe Maxion SA is currently generating about 0.1 per unit of volatility. If you would invest 1,106 in Iochpe Maxion SA on September 13, 2024 and sell it today you would earn a total of 157.00 from holding Iochpe Maxion SA or generate 14.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oi SA vs. Iochpe Maxion SA
Performance |
Timeline |
Oi SA |
Iochpe Maxion SA |
Oi SA and Iochpe Maxion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oi SA and Iochpe Maxion
The main advantage of trading using opposite Oi SA and Iochpe Maxion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oi SA position performs unexpectedly, Iochpe Maxion 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 Iochpe Maxion will offset losses from the drop in Iochpe Maxion's long position.The idea behind Oi SA and Iochpe Maxion 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.Iochpe Maxion vs. Tupy SA | Iochpe Maxion vs. MAHLE Metal Leve | Iochpe Maxion vs. Randon SA Implementos | Iochpe Maxion vs. Marcopolo 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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