Correlation Between Sinopec Shanghai and SCANDION ONC
Can any of the company-specific risk be diversified away by investing in both Sinopec Shanghai and SCANDION ONC 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 Sinopec Shanghai and SCANDION ONC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sinopec Shanghai Petrochemical and SCANDION ONC DK 0735, you can compare the effects of market volatilities on Sinopec Shanghai and SCANDION ONC 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 Sinopec Shanghai with a short position of SCANDION ONC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinopec Shanghai and SCANDION ONC.
Diversification Opportunities for Sinopec Shanghai and SCANDION ONC
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sinopec and SCANDION is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Sinopec Shanghai Petrochemical and SCANDION ONC DK 0735 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCANDION ONC DK and Sinopec Shanghai 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 Sinopec Shanghai Petrochemical are associated (or correlated) with SCANDION ONC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCANDION ONC DK has no effect on the direction of Sinopec Shanghai i.e., Sinopec Shanghai and SCANDION ONC go up and down completely randomly.
Pair Corralation between Sinopec Shanghai and SCANDION ONC
Assuming the 90 days trading horizon Sinopec Shanghai Petrochemical is expected to generate 1.91 times more return on investment than SCANDION ONC. However, Sinopec Shanghai is 1.91 times more volatile than SCANDION ONC DK 0735. It trades about 0.05 of its potential returns per unit of risk. SCANDION ONC DK 0735 is currently generating about -0.13 per unit of risk. If you would invest 14.00 in Sinopec Shanghai Petrochemical on December 22, 2024 and sell it today you would earn a total of 1.00 from holding Sinopec Shanghai Petrochemical or generate 7.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Sinopec Shanghai Petrochemical vs. SCANDION ONC DK 0735
Performance |
Timeline |
Sinopec Shanghai Pet |
SCANDION ONC DK |
Sinopec Shanghai and SCANDION ONC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinopec Shanghai and SCANDION ONC
The main advantage of trading using opposite Sinopec Shanghai and SCANDION ONC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinopec Shanghai position performs unexpectedly, SCANDION ONC 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 SCANDION ONC will offset losses from the drop in SCANDION ONC's long position.Sinopec Shanghai vs. PennantPark Investment | Sinopec Shanghai vs. Chuangs China Investments | Sinopec Shanghai vs. NORTHEAST UTILITIES | Sinopec Shanghai vs. Keck Seng Investments |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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