Correlation Between Anhui Jianghuai and Xinjiang Communications
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By analyzing existing cross correlation between Anhui Jianghuai Automobile and Xinjiang Communications Construction, you can compare the effects of market volatilities on Anhui Jianghuai and Xinjiang Communications 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 Anhui Jianghuai with a short position of Xinjiang Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Anhui Jianghuai and Xinjiang Communications.
Diversification Opportunities for Anhui Jianghuai and Xinjiang Communications
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Anhui and Xinjiang is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Anhui Jianghuai Automobile and Xinjiang Communications Constr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinjiang Communications and Anhui Jianghuai 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 Anhui Jianghuai Automobile are associated (or correlated) with Xinjiang Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinjiang Communications has no effect on the direction of Anhui Jianghuai i.e., Anhui Jianghuai and Xinjiang Communications go up and down completely randomly.
Pair Corralation between Anhui Jianghuai and Xinjiang Communications
Assuming the 90 days trading horizon Anhui Jianghuai Automobile is expected to generate 1.75 times more return on investment than Xinjiang Communications. However, Anhui Jianghuai is 1.75 times more volatile than Xinjiang Communications Construction. It trades about 0.09 of its potential returns per unit of risk. Xinjiang Communications Construction is currently generating about 0.06 per unit of risk. If you would invest 3,341 in Anhui Jianghuai Automobile on September 21, 2024 and sell it today you would earn a total of 444.00 from holding Anhui Jianghuai Automobile or generate 13.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Anhui Jianghuai Automobile vs. Xinjiang Communications Constr
Performance |
Timeline |
Anhui Jianghuai Auto |
Xinjiang Communications |
Anhui Jianghuai and Xinjiang Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Anhui Jianghuai and Xinjiang Communications
The main advantage of trading using opposite Anhui Jianghuai and Xinjiang Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Anhui Jianghuai position performs unexpectedly, Xinjiang Communications 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 Xinjiang Communications will offset losses from the drop in Xinjiang Communications' long position.Anhui Jianghuai vs. Cambricon Technologies Corp | Anhui Jianghuai vs. Loongson Technology Corp | Anhui Jianghuai vs. Shenzhen Fortune Trend | Anhui Jianghuai vs. Chongqing Road Bridge |
Xinjiang Communications vs. Industrial and Commercial | Xinjiang Communications vs. Kweichow Moutai Co | Xinjiang Communications vs. Agricultural Bank of | Xinjiang Communications vs. China Mobile Limited |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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