Correlation Between Pengxin International and Nanxing Furniture
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By analyzing existing cross correlation between Pengxin International Mining and Nanxing Furniture Machinery, you can compare the effects of market volatilities on Pengxin International 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 Pengxin International with a short position of Nanxing Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pengxin International and Nanxing Furniture.
Diversification Opportunities for Pengxin International and Nanxing Furniture
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pengxin and Nanxing is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Pengxin International Mining and Nanxing Furniture Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nanxing Furniture and Pengxin International 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 Pengxin International Mining 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 Pengxin International i.e., Pengxin International and Nanxing Furniture go up and down completely randomly.
Pair Corralation between Pengxin International and Nanxing Furniture
Assuming the 90 days trading horizon Pengxin International is expected to generate 1.26 times less return on investment than Nanxing Furniture. But when comparing it to its historical volatility, Pengxin International Mining is 1.01 times less risky than Nanxing Furniture. It trades about 0.02 of its potential returns per unit of risk. Nanxing Furniture Machinery is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,288 in Nanxing Furniture Machinery on October 1, 2024 and sell it today you would earn a total of 270.00 from holding Nanxing Furniture Machinery or generate 20.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pengxin International Mining vs. Nanxing Furniture Machinery
Performance |
Timeline |
Pengxin International |
Nanxing Furniture |
Pengxin International and Nanxing Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pengxin International and Nanxing Furniture
The main advantage of trading using opposite Pengxin International and Nanxing Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pengxin International 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.Pengxin International vs. Wanhua Chemical Group | Pengxin International vs. Shandong Gold Mining | Pengxin International vs. Rongsheng Petrochemical Co | Pengxin International vs. Inner Mongolia BaoTou |
Nanxing Furniture vs. Bank of China | Nanxing Furniture vs. Kweichow Moutai Co | Nanxing Furniture vs. PetroChina Co Ltd | Nanxing Furniture vs. Bank of Communications |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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