Correlation Between Rio Paranapanema and Santos Brasil
Can any of the company-specific risk be diversified away by investing in both Rio Paranapanema and Santos Brasil 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 Rio Paranapanema and Santos Brasil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rio Paranapanema Energia and Santos Brasil Participaes, you can compare the effects of market volatilities on Rio Paranapanema and Santos Brasil 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 Rio Paranapanema with a short position of Santos Brasil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rio Paranapanema and Santos Brasil.
Diversification Opportunities for Rio Paranapanema and Santos Brasil
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Rio and Santos is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Rio Paranapanema Energia and Santos Brasil Participaes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santos Brasil Participaes and Rio Paranapanema 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 Rio Paranapanema Energia are associated (or correlated) with Santos Brasil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santos Brasil Participaes has no effect on the direction of Rio Paranapanema i.e., Rio Paranapanema and Santos Brasil go up and down completely randomly.
Pair Corralation between Rio Paranapanema and Santos Brasil
Assuming the 90 days trading horizon Rio Paranapanema Energia is expected to generate 1.26 times more return on investment than Santos Brasil. However, Rio Paranapanema is 1.26 times more volatile than Santos Brasil Participaes. It trades about 0.07 of its potential returns per unit of risk. Santos Brasil Participaes is currently generating about 0.02 per unit of risk. If you would invest 2,533 in Rio Paranapanema Energia on September 12, 2024 and sell it today you would earn a total of 319.00 from holding Rio Paranapanema Energia or generate 12.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Rio Paranapanema Energia vs. Santos Brasil Participaes
Performance |
Timeline |
Rio Paranapanema Energia |
Santos Brasil Participaes |
Rio Paranapanema and Santos Brasil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rio Paranapanema and Santos Brasil
The main advantage of trading using opposite Rio Paranapanema and Santos Brasil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rio Paranapanema position performs unexpectedly, Santos Brasil 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 Santos Brasil will offset losses from the drop in Santos Brasil's long position.Rio Paranapanema vs. Rio Paranapanema Energia | Rio Paranapanema vs. CTEEP Companhia | Rio Paranapanema vs. Empresa Metropolitana de | Rio Paranapanema vs. Energisa SA |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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