Correlation Between Morgan Stanley and China Petroleum
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley 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 Morgan Stanley and China Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and China Petroleum Chemical, you can compare the effects of market volatilities on Morgan Stanley 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 Morgan Stanley with a short position of China Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and China Petroleum.
Diversification Opportunities for Morgan Stanley and China Petroleum
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Morgan and China is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct 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 Morgan Stanley 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 Morgan Stanley Direct 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 Morgan Stanley i.e., Morgan Stanley and China Petroleum go up and down completely randomly.
Pair Corralation between Morgan Stanley and China Petroleum
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 0.24 times more return on investment than China Petroleum. However, Morgan Stanley Direct is 4.09 times less risky than China Petroleum. It trades about 0.14 of its potential returns per unit of risk. China Petroleum Chemical is currently generating about 0.02 per unit of risk. If you would invest 1,953 in Morgan Stanley Direct on September 16, 2024 and sell it today you would earn a total of 165.00 from holding Morgan Stanley Direct or generate 8.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley Direct vs. China Petroleum Chemical
Performance |
Timeline |
Morgan Stanley Direct |
China Petroleum Chemical |
Morgan Stanley and China Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and China Petroleum
The main advantage of trading using opposite Morgan Stanley and China Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley 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.Morgan Stanley vs. Vita Coco | Morgan Stanley vs. Japan Tobacco ADR | Morgan Stanley vs. RCI Hospitality Holdings | Morgan Stanley vs. Keurig Dr Pepper |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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