Correlation Between Petroleo Brasileiro and SP High

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

By analyzing existing cross correlation between Petroleo Brasileiro Petrobras and SP High Yield, you can compare the effects of market volatilities on Petroleo Brasileiro and SP High 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 Petroleo Brasileiro with a short position of SP High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and SP High.

Diversification Opportunities for Petroleo Brasileiro and SP High

0.45

Correlation Coefficient

Petroleo Brasileiro  SP High

Very weak diversification

The 3 months correlation between Petroleo and SPHYDA is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and SP High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SP High Yield and Petroleo Brasileiro 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 Petroleo Brasileiro Petrobras are associated (or correlated) with SP High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP High Yield has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and SP High go up and down completely randomly.

Pair Corralation between Petroleo Brasileiro and SP High

Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the SP High. In addition to that, Petroleo Brasileiro is 2.63 times more volatile than SP High Yield. It trades about -0.09 of its total potential returns per unit of risk. SP High Yield is currently generating about -0.13 per unit of volatility. If you would invest  474,579  in SP High Yield on September 25, 2024 and sell it today you would lose (24,993) from holding SP High Yield or give up 5.27% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Petroleo Brasileiro Petrobras  vs.  SP High Yield

Pair Trading with Petroleo Brasileiro and SP High

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

The idea behind Petroleo Brasileiro Petrobras and SP High Yield 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.