Correlation Between Hongrun Construction and Nanxing Furniture
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By analyzing existing cross correlation between Hongrun Construction Group and Nanxing Furniture Machinery, you can compare the effects of market volatilities on Hongrun Construction and Nanxing Furniture 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 Hongrun Construction with a short position of Nanxing Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hongrun Construction and Nanxing Furniture.
Diversification Opportunities for Hongrun Construction and Nanxing Furniture
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hongrun and Nanxing is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Hongrun Construction Group and Nanxing Furniture Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nanxing Furniture and Hongrun 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 Hongrun Construction Group are associated (or correlated) with Nanxing Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nanxing Furniture has no effect on the direction of Hongrun Construction i.e., Hongrun Construction and Nanxing Furniture go up and down completely randomly.
Pair Corralation between Hongrun Construction and Nanxing Furniture
Assuming the 90 days trading horizon Hongrun Construction is expected to generate 6.2 times less return on investment than Nanxing Furniture. But when comparing it to its historical volatility, Hongrun Construction Group is 2.26 times less risky than Nanxing Furniture. It trades about 0.05 of its potential returns per unit of risk. Nanxing Furniture Machinery is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,500 in Nanxing Furniture Machinery on December 25, 2024 and sell it today you would earn a total of 528.00 from holding Nanxing Furniture Machinery or generate 35.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hongrun Construction Group vs. Nanxing Furniture Machinery
Performance |
Timeline |
Hongrun Construction |
Nanxing Furniture |
Hongrun Construction and Nanxing Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hongrun Construction and Nanxing Furniture
The main advantage of trading using opposite Hongrun Construction and Nanxing Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hongrun Construction position performs unexpectedly, Nanxing Furniture 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 Nanxing Furniture will offset losses from the drop in Nanxing Furniture's long position.Hongrun Construction vs. China Southern Power | Hongrun Construction vs. Harvest Power China | Hongrun Construction vs. Zhengzhou Coal Mining | Hongrun Construction vs. Shandong Mining Machinery |
Nanxing Furniture vs. Quectel Wireless Solutions | Nanxing Furniture vs. Inner Mongolia Xingye | Nanxing Furniture vs. Shenzhen Silver Basis | Nanxing Furniture vs. Jinhui Mining Co |
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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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