Correlation Between BP PLC and China Petroleum
Can any of the company-specific risk be diversified away by investing in both BP PLC and China Petroleum 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 BP PLC and China Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BP PLC ADR and China Petroleum Chemical, you can compare the effects of market volatilities on BP PLC and China Petroleum 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 BP PLC with a short position of China Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of BP PLC and China Petroleum.
Diversification Opportunities for BP PLC and China Petroleum
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BP PLC and China is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding BP PLC ADR and China Petroleum Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Petroleum Chemical and BP PLC 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 BP PLC ADR are associated (or correlated) with China Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Petroleum Chemical has no effect on the direction of BP PLC i.e., BP PLC and China Petroleum go up and down completely randomly.
Pair Corralation between BP PLC and China Petroleum
Allowing for the 90-day total investment horizon BP PLC ADR is expected to under-perform the China Petroleum. But the stock apears to be less risky and, when comparing its historical volatility, BP PLC ADR is 3.57 times less risky than China Petroleum. The stock trades about 0.0 of its potential returns per unit of risk. The China Petroleum Chemical is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 15.00 in China Petroleum Chemical on November 28, 2024 and sell it today you would earn a total of 39.00 from holding China Petroleum Chemical or generate 260.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 91.7% |
Values | Daily Returns |
BP PLC ADR vs. China Petroleum Chemical
Performance |
Timeline |
BP PLC ADR |
China Petroleum Chemical |
BP PLC and China Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BP PLC and China Petroleum
The main advantage of trading using opposite BP PLC and China Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BP PLC position performs unexpectedly, China Petroleum 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 China Petroleum will offset losses from the drop in China Petroleum's long position.BP PLC vs. TotalEnergies SE ADR | BP PLC vs. Chevron Corp | BP PLC vs. Exxon Mobil Corp | BP PLC vs. Equinor ASA ADR |
China Petroleum vs. BP plc | China Petroleum vs. Shell PLC | China Petroleum vs. Origin Energy Ltd | China Petroleum vs. Equinor ASA |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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