Correlation Between Kunlun Energy and Sinopec Shanghai
Can any of the company-specific risk be diversified away by investing in both Kunlun Energy and Sinopec Shanghai 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 Kunlun Energy and Sinopec Shanghai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kunlun Energy and Sinopec Shanghai Petrochemical, you can compare the effects of market volatilities on Kunlun Energy and Sinopec Shanghai 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 Kunlun Energy with a short position of Sinopec Shanghai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kunlun Energy and Sinopec Shanghai.
Diversification Opportunities for Kunlun Energy and Sinopec Shanghai
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Kunlun and Sinopec is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Kunlun Energy and Sinopec Shanghai Petrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinopec Shanghai Pet and Kunlun Energy 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 Kunlun Energy are associated (or correlated) with Sinopec Shanghai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinopec Shanghai Pet has no effect on the direction of Kunlun Energy i.e., Kunlun Energy and Sinopec Shanghai go up and down completely randomly.
Pair Corralation between Kunlun Energy and Sinopec Shanghai
Assuming the 90 days trading horizon Kunlun Energy is expected to under-perform the Sinopec Shanghai. But the stock apears to be less risky and, when comparing its historical volatility, Kunlun Energy is 2.94 times less risky than Sinopec Shanghai. The stock trades about -0.07 of its potential returns per unit of risk. The Sinopec Shanghai Petrochemical is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 15.00 in Sinopec Shanghai Petrochemical on December 29, 2024 and sell it today you would lose (1.00) from holding Sinopec Shanghai Petrochemical or give up 6.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Kunlun Energy vs. Sinopec Shanghai Petrochemical
Performance |
Timeline |
Kunlun Energy |
Sinopec Shanghai Pet |
Kunlun Energy and Sinopec Shanghai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kunlun Energy and Sinopec Shanghai
The main advantage of trading using opposite Kunlun Energy and Sinopec Shanghai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kunlun Energy position performs unexpectedly, Sinopec Shanghai 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 Sinopec Shanghai will offset losses from the drop in Sinopec Shanghai's long position.Kunlun Energy vs. Moneysupermarket Group PLC | Kunlun Energy vs. High Liner Foods | Kunlun Energy vs. Fevertree Drinks PLC | Kunlun Energy vs. Monster Beverage Corp |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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