Correlation Between Chainqui Construction and Huang Hsiang
Can any of the company-specific risk be diversified away by investing in both Chainqui Construction and Huang Hsiang 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 Chainqui Construction and Huang Hsiang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chainqui Construction Development and Huang Hsiang Construction, you can compare the effects of market volatilities on Chainqui Construction and Huang Hsiang 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 Chainqui Construction with a short position of Huang Hsiang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chainqui Construction and Huang Hsiang.
Diversification Opportunities for Chainqui Construction and Huang Hsiang
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Chainqui and Huang is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Chainqui Construction Developm and Huang Hsiang Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Huang Hsiang Construction and Chainqui Construction 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 Chainqui Construction Development are associated (or correlated) with Huang Hsiang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Huang Hsiang Construction has no effect on the direction of Chainqui Construction i.e., Chainqui Construction and Huang Hsiang go up and down completely randomly.
Pair Corralation between Chainqui Construction and Huang Hsiang
Assuming the 90 days trading horizon Chainqui Construction Development is expected to generate 0.44 times more return on investment than Huang Hsiang. However, Chainqui Construction Development is 2.26 times less risky than Huang Hsiang. It trades about -0.16 of its potential returns per unit of risk. Huang Hsiang Construction is currently generating about -0.27 per unit of risk. If you would invest 1,730 in Chainqui Construction Development on September 28, 2024 and sell it today you would lose (80.00) from holding Chainqui Construction Development or give up 4.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chainqui Construction Developm vs. Huang Hsiang Construction
Performance |
Timeline |
Chainqui Construction |
Huang Hsiang Construction |
Chainqui Construction and Huang Hsiang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chainqui Construction and Huang Hsiang
The main advantage of trading using opposite Chainqui Construction and Huang Hsiang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chainqui Construction position performs unexpectedly, Huang Hsiang 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 Huang Hsiang will offset losses from the drop in Huang Hsiang's long position.Chainqui Construction vs. Yang Ming Marine | Chainqui Construction vs. Eva Airways Corp | Chainqui Construction 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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