Correlation Between Champion Building and Grand Plastic
Can any of the company-specific risk be diversified away by investing in both Champion Building and Grand Plastic 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 Champion Building and Grand Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Champion Building Materials and Grand Plastic Technology, you can compare the effects of market volatilities on Champion Building and Grand Plastic 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 Champion Building with a short position of Grand Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Champion Building and Grand Plastic.
Diversification Opportunities for Champion Building and Grand Plastic
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Champion and Grand is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Champion Building Materials and Grand Plastic Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand Plastic Technology and Champion Building 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 Champion Building Materials are associated (or correlated) with Grand Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand Plastic Technology has no effect on the direction of Champion Building i.e., Champion Building and Grand Plastic go up and down completely randomly.
Pair Corralation between Champion Building and Grand Plastic
Assuming the 90 days trading horizon Champion Building Materials is expected to generate 0.61 times more return on investment than Grand Plastic. However, Champion Building Materials is 1.64 times less risky than Grand Plastic. It trades about -0.01 of its potential returns per unit of risk. Grand Plastic Technology is currently generating about -0.04 per unit of risk. If you would invest 1,030 in Champion Building Materials on September 27, 2024 and sell it today you would lose (15.00) from holding Champion Building Materials or give up 1.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.73% |
Values | Daily Returns |
Champion Building Materials vs. Grand Plastic Technology
Performance |
Timeline |
Champion Building |
Grand Plastic Technology |
Champion Building and Grand Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Champion Building and Grand Plastic
The main advantage of trading using opposite Champion Building and Grand Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Champion Building position performs unexpectedly, Grand Plastic 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 Plastic will offset losses from the drop in Grand Plastic's long position.Champion Building vs. Yang Ming Marine | Champion Building vs. Eva Airways Corp | Champion Building vs. U Ming Marine Transport |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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