Correlation Between Hefei Metalforming and Guangzhou Haozhi
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By analyzing existing cross correlation between Hefei Metalforming Mach and Guangzhou Haozhi Industrial, you can compare the effects of market volatilities on Hefei Metalforming and Guangzhou Haozhi 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 Hefei Metalforming with a short position of Guangzhou Haozhi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hefei Metalforming and Guangzhou Haozhi.
Diversification Opportunities for Hefei Metalforming and Guangzhou Haozhi
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hefei and Guangzhou is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Hefei Metalforming Mach and Guangzhou Haozhi Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Haozhi Ind and Hefei Metalforming 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 Hefei Metalforming Mach are associated (or correlated) with Guangzhou Haozhi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Haozhi Ind has no effect on the direction of Hefei Metalforming i.e., Hefei Metalforming and Guangzhou Haozhi go up and down completely randomly.
Pair Corralation between Hefei Metalforming and Guangzhou Haozhi
Assuming the 90 days trading horizon Hefei Metalforming Mach is expected to under-perform the Guangzhou Haozhi. But the stock apears to be less risky and, when comparing its historical volatility, Hefei Metalforming Mach is 1.41 times less risky than Guangzhou Haozhi. The stock trades about 0.0 of its potential returns per unit of risk. The Guangzhou Haozhi Industrial is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,643 in Guangzhou Haozhi Industrial on October 25, 2024 and sell it today you would earn a total of 539.00 from holding Guangzhou Haozhi Industrial or generate 32.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hefei Metalforming Mach vs. Guangzhou Haozhi Industrial
Performance |
Timeline |
Hefei Metalforming Mach |
Guangzhou Haozhi Ind |
Hefei Metalforming and Guangzhou Haozhi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hefei Metalforming and Guangzhou Haozhi
The main advantage of trading using opposite Hefei Metalforming and Guangzhou Haozhi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hefei Metalforming position performs unexpectedly, Guangzhou Haozhi 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 Guangzhou Haozhi will offset losses from the drop in Guangzhou Haozhi's long position.Hefei Metalforming vs. Jilin Jlu Communication | Hefei Metalforming vs. CICT Mobile Communication | Hefei Metalforming vs. Guangzhou Jointas Chemical | Hefei Metalforming vs. Telling Telecommunication Holding |
Guangzhou Haozhi vs. Kweichow Moutai Co | Guangzhou Haozhi vs. Contemporary Amperex Technology | Guangzhou Haozhi vs. Beijing Roborock Technology | Guangzhou Haozhi vs. BYD Co Ltd |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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