Correlation Between Petroleo Brasileiro and Qiming Information
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By analyzing existing cross correlation between Petroleo Brasileiro Petrobras and Qiming Information Technology, you can compare the effects of market volatilities on Petroleo Brasileiro and Qiming Information 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 Qiming Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petroleo Brasileiro and Qiming Information.
Diversification Opportunities for Petroleo Brasileiro and Qiming Information
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Petroleo and Qiming is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Petroleo Brasileiro Petrobras and Qiming Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qiming Information 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 Qiming Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qiming Information has no effect on the direction of Petroleo Brasileiro i.e., Petroleo Brasileiro and Qiming Information go up and down completely randomly.
Pair Corralation between Petroleo Brasileiro and Qiming Information
Considering the 90-day investment horizon Petroleo Brasileiro Petrobras is expected to under-perform the Qiming Information. But the stock apears to be less risky and, when comparing its historical volatility, Petroleo Brasileiro Petrobras is 3.07 times less risky than Qiming Information. The stock trades about -0.06 of its potential returns per unit of risk. The Qiming Information Technology is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,946 in Qiming Information Technology on September 27, 2024 and sell it today you would earn a total of 36.00 from holding Qiming Information Technology or generate 1.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.19% |
Values | Daily Returns |
Petroleo Brasileiro Petrobras vs. Qiming Information Technology
Performance |
Timeline |
Petroleo Brasileiro |
Qiming Information |
Petroleo Brasileiro and Qiming Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petroleo Brasileiro and Qiming Information
The main advantage of trading using opposite Petroleo Brasileiro and Qiming Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petroleo Brasileiro position performs unexpectedly, Qiming Information 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 Qiming Information will offset losses from the drop in Qiming Information's long position.Petroleo Brasileiro vs. Ecopetrol SA ADR | Petroleo Brasileiro vs. Equinor ASA ADR | Petroleo Brasileiro vs. Eni SpA ADR | Petroleo Brasileiro vs. Cenovus Energy |
Qiming Information vs. Industrial and Commercial | Qiming Information vs. Agricultural Bank of | Qiming Information vs. China Construction Bank | Qiming Information vs. Bank of China |
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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