Correlation Between Xilinmen Furniture and Jiangsu Broadcasting
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By analyzing existing cross correlation between Xilinmen Furniture Co and Jiangsu Broadcasting Cable, you can compare the effects of market volatilities on Xilinmen Furniture and Jiangsu Broadcasting 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 Xilinmen Furniture with a short position of Jiangsu Broadcasting. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xilinmen Furniture and Jiangsu Broadcasting.
Diversification Opportunities for Xilinmen Furniture and Jiangsu Broadcasting
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Xilinmen and Jiangsu is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Xilinmen Furniture Co and Jiangsu Broadcasting Cable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Broadcasting and Xilinmen 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 Xilinmen Furniture Co are associated (or correlated) with Jiangsu Broadcasting. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Broadcasting has no effect on the direction of Xilinmen Furniture i.e., Xilinmen Furniture and Jiangsu Broadcasting go up and down completely randomly.
Pair Corralation between Xilinmen Furniture and Jiangsu Broadcasting
Assuming the 90 days trading horizon Xilinmen Furniture Co is expected to generate 1.4 times more return on investment than Jiangsu Broadcasting. However, Xilinmen Furniture is 1.4 times more volatile than Jiangsu Broadcasting Cable. It trades about 0.19 of its potential returns per unit of risk. Jiangsu Broadcasting Cable is currently generating about 0.22 per unit of risk. If you would invest 1,391 in Xilinmen Furniture Co on September 4, 2024 and sell it today you would earn a total of 565.00 from holding Xilinmen Furniture Co or generate 40.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Xilinmen Furniture Co vs. Jiangsu Broadcasting Cable
Performance |
Timeline |
Xilinmen Furniture |
Jiangsu Broadcasting |
Xilinmen Furniture and Jiangsu Broadcasting Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xilinmen Furniture and Jiangsu Broadcasting
The main advantage of trading using opposite Xilinmen Furniture and Jiangsu Broadcasting positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xilinmen Furniture position performs unexpectedly, Jiangsu Broadcasting 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 Jiangsu Broadcasting will offset losses from the drop in Jiangsu Broadcasting's long position.Xilinmen Furniture vs. Industrial and Commercial | Xilinmen Furniture vs. Agricultural Bank of | Xilinmen Furniture vs. China Construction Bank | Xilinmen Furniture vs. Bank of China |
Jiangsu Broadcasting vs. Jinling Hotel Corp | Jiangsu Broadcasting vs. Jiugui Liquor Co | Jiangsu Broadcasting vs. Fujian Longzhou Transportation | Jiangsu Broadcasting vs. Hubeiyichang Transportation Group |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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