Correlation Between Nanxing Furniture and Beijing Mainstreets
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By analyzing existing cross correlation between Nanxing Furniture Machinery and Beijing Mainstreets Investment, you can compare the effects of market volatilities on Nanxing Furniture and Beijing Mainstreets 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 Nanxing Furniture with a short position of Beijing Mainstreets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nanxing Furniture and Beijing Mainstreets.
Diversification Opportunities for Nanxing Furniture and Beijing Mainstreets
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nanxing and Beijing is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Nanxing Furniture Machinery and Beijing Mainstreets Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Mainstreets and Nanxing Furniture 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 Nanxing Furniture Machinery are associated (or correlated) with Beijing Mainstreets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Mainstreets has no effect on the direction of Nanxing Furniture i.e., Nanxing Furniture and Beijing Mainstreets go up and down completely randomly.
Pair Corralation between Nanxing Furniture and Beijing Mainstreets
Assuming the 90 days trading horizon Nanxing Furniture Machinery is expected to generate 1.07 times more return on investment than Beijing Mainstreets. However, Nanxing Furniture is 1.07 times more volatile than Beijing Mainstreets Investment. It trades about 0.01 of its potential returns per unit of risk. Beijing Mainstreets Investment is currently generating about -0.08 per unit of risk. If you would invest 1,585 in Nanxing Furniture Machinery on September 24, 2024 and sell it today you would lose (6.00) from holding Nanxing Furniture Machinery or give up 0.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Nanxing Furniture Machinery vs. Beijing Mainstreets Investment
Performance |
Timeline |
Nanxing Furniture |
Beijing Mainstreets |
Nanxing Furniture and Beijing Mainstreets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nanxing Furniture and Beijing Mainstreets
The main advantage of trading using opposite Nanxing Furniture and Beijing Mainstreets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nanxing Furniture position performs unexpectedly, Beijing Mainstreets 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 Beijing Mainstreets will offset losses from the drop in Beijing Mainstreets' long position.Nanxing Furniture vs. Bank of China | Nanxing Furniture vs. Kweichow Moutai Co | Nanxing Furniture vs. PetroChina Co Ltd | Nanxing Furniture vs. Bank of Communications |
Beijing Mainstreets vs. Nanxing Furniture Machinery | Beijing Mainstreets vs. Jiajia Food Group | Beijing Mainstreets vs. Jiangsu Jinling Sports | Beijing Mainstreets vs. China Sports Industry |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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