Correlation Between Mechema Chemicals and Grand Pacific
Can any of the company-specific risk be diversified away by investing in both Mechema Chemicals and Grand Pacific 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 Mechema Chemicals and Grand Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mechema Chemicals Int and Grand Pacific Petrochemical, you can compare the effects of market volatilities on Mechema Chemicals and Grand Pacific 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 Mechema Chemicals with a short position of Grand Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mechema Chemicals and Grand Pacific.
Diversification Opportunities for Mechema Chemicals and Grand Pacific
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mechema and Grand is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Mechema Chemicals Int and Grand Pacific Petrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand Pacific Petroc and Mechema Chemicals 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 Mechema Chemicals Int are associated (or correlated) with Grand Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand Pacific Petroc has no effect on the direction of Mechema Chemicals i.e., Mechema Chemicals and Grand Pacific go up and down completely randomly.
Pair Corralation between Mechema Chemicals and Grand Pacific
Assuming the 90 days trading horizon Mechema Chemicals Int is expected to under-perform the Grand Pacific. In addition to that, Mechema Chemicals is 2.64 times more volatile than Grand Pacific Petrochemical. It trades about -0.03 of its total potential returns per unit of risk. Grand Pacific Petrochemical is currently generating about -0.05 per unit of volatility. If you would invest 2,722 in Grand Pacific Petrochemical on December 4, 2024 and sell it today you would lose (457.00) from holding Grand Pacific Petrochemical or give up 16.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 92.72% |
Values | Daily Returns |
Mechema Chemicals Int vs. Grand Pacific Petrochemical
Performance |
Timeline |
Mechema Chemicals Int |
Grand Pacific Petroc |
Mechema Chemicals and Grand Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mechema Chemicals and Grand Pacific
The main advantage of trading using opposite Mechema Chemicals and Grand Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mechema Chemicals position performs unexpectedly, Grand Pacific 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 Grand Pacific will offset losses from the drop in Grand Pacific's long position.Mechema Chemicals vs. Coremax Corp | Mechema Chemicals vs. Taiwan Hopax Chemsistry | Mechema Chemicals vs. Delta Electronics | Mechema Chemicals vs. China Steel Chemical |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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