Correlation Between Basic Materials and Marcopolo

Can any of the company-specific risk be diversified away by investing in both Basic Materials and Marcopolo 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 Basic Materials and Marcopolo into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Basic Materials and Marcopolo SA, you can compare the effects of market volatilities on Basic Materials and Marcopolo 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 Basic Materials with a short position of Marcopolo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Marcopolo.

Diversification Opportunities for Basic Materials and Marcopolo

0.39

Correlation Coefficient

Basic Materials  Marcopolo

Weak diversification

The 3 months correlation between Basic and Marcopolo is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials and Marcopolo SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marcopolo SA and Basic Materials 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 Basic Materials are associated (or correlated) with Marcopolo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marcopolo SA has no effect on the direction of Basic Materials i.e., Basic Materials and Marcopolo go up and down completely randomly.

Pair Corralation between Basic Materials and Marcopolo

Assuming the 90 days trading horizon Basic Materials is expected to generate 830.4 times less return on investment than Marcopolo. But when comparing it to its historical volatility, Basic Materials is 2.38 times less risky than Marcopolo. It trades about 0.0 of its potential returns per unit of risk. Marcopolo SA is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest  642.00  in Marcopolo SA on August 31, 2024 and sell it today you would earn a total of  52.00  from holding Marcopolo SA or generate 8.1% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	95.24%
Values	Daily Returns

Basic Materials  vs.  Marcopolo SA

Pair Trading with Basic Materials and Marcopolo

The main advantage of trading using opposite Basic Materials and Marcopolo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Marcopolo 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 Marcopolo will offset losses from the drop in Marcopolo's long position.

The idea behind Basic Materials and Marcopolo 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.

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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.