Correlation Between Jiujiang Shanshui and Xiangyang Automobile
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By analyzing existing cross correlation between Jiujiang Shanshui Technology and Xiangyang Automobile Bearing, you can compare the effects of market volatilities on Jiujiang Shanshui and Xiangyang Automobile 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 Jiujiang Shanshui with a short position of Xiangyang Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiujiang Shanshui and Xiangyang Automobile.
Diversification Opportunities for Jiujiang Shanshui and Xiangyang Automobile
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jiujiang and Xiangyang is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Jiujiang Shanshui Technology and Xiangyang Automobile Bearing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xiangyang Automobile and Jiujiang Shanshui 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 Jiujiang Shanshui Technology are associated (or correlated) with Xiangyang Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xiangyang Automobile has no effect on the direction of Jiujiang Shanshui i.e., Jiujiang Shanshui and Xiangyang Automobile go up and down completely randomly.
Pair Corralation between Jiujiang Shanshui and Xiangyang Automobile
Assuming the 90 days trading horizon Jiujiang Shanshui is expected to generate 1.67 times less return on investment than Xiangyang Automobile. But when comparing it to its historical volatility, Jiujiang Shanshui Technology is 1.42 times less risky than Xiangyang Automobile. It trades about 0.11 of its potential returns per unit of risk. Xiangyang Automobile Bearing is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 512.00 in Xiangyang Automobile Bearing on September 26, 2024 and sell it today you would earn a total of 160.00 from holding Xiangyang Automobile Bearing or generate 31.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jiujiang Shanshui Technology vs. Xiangyang Automobile Bearing
Performance |
Timeline |
Jiujiang Shanshui |
Xiangyang Automobile |
Jiujiang Shanshui and Xiangyang Automobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiujiang Shanshui and Xiangyang Automobile
The main advantage of trading using opposite Jiujiang Shanshui and Xiangyang Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiujiang Shanshui position performs unexpectedly, Xiangyang Automobile 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 Xiangyang Automobile will offset losses from the drop in Xiangyang Automobile's long position.Jiujiang Shanshui vs. Zijin Mining Group | Jiujiang Shanshui vs. Baoshan Iron Steel | Jiujiang Shanshui vs. Shandong Gold Mining | Jiujiang Shanshui vs. Rongsheng Petrochemical Co |
Xiangyang Automobile vs. China Life Insurance | Xiangyang Automobile vs. Cinda Securities Co | Xiangyang Automobile vs. Piotech Inc A | Xiangyang Automobile vs. Dongxing Sec 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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