Correlation Between Xiangyang Automobile and Pengxin International
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By analyzing existing cross correlation between Xiangyang Automobile Bearing and Pengxin International Mining, you can compare the effects of market volatilities on Xiangyang Automobile and Pengxin International 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 Xiangyang Automobile with a short position of Pengxin International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xiangyang Automobile and Pengxin International.
Diversification Opportunities for Xiangyang Automobile and Pengxin International
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Xiangyang and Pengxin is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Xiangyang Automobile Bearing and Pengxin International Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pengxin International and Xiangyang Automobile 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 Xiangyang Automobile Bearing are associated (or correlated) with Pengxin International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pengxin International has no effect on the direction of Xiangyang Automobile i.e., Xiangyang Automobile and Pengxin International go up and down completely randomly.
Pair Corralation between Xiangyang Automobile and Pengxin International
Assuming the 90 days trading horizon Xiangyang Automobile Bearing is expected to generate 1.1 times more return on investment than Pengxin International. However, Xiangyang Automobile is 1.1 times more volatile than Pengxin International Mining. It trades about 0.21 of its potential returns per unit of risk. Pengxin International Mining is currently generating about 0.23 per unit of risk. If you would invest 400.00 in Xiangyang Automobile Bearing on September 5, 2024 and sell it today you would earn a total of 236.00 from holding Xiangyang Automobile Bearing or generate 59.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Xiangyang Automobile Bearing vs. Pengxin International Mining
Performance |
Timeline |
Xiangyang Automobile |
Pengxin International |
Xiangyang Automobile and Pengxin International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xiangyang Automobile and Pengxin International
The main advantage of trading using opposite Xiangyang Automobile and Pengxin International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xiangyang Automobile position performs unexpectedly, Pengxin International 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 Pengxin International will offset losses from the drop in Pengxin International's long position.Xiangyang Automobile vs. Hangzhou Gaoxin Rubber | Xiangyang Automobile vs. Jiangnan Mould Plastic | Xiangyang Automobile vs. Anji Foodstuff Co | Xiangyang Automobile vs. Ligao Foods CoLtd |
Pengxin International vs. Gem Year Industrial Co | Pengxin International vs. ButOne Information Corp | Pengxin International vs. CITIC Metal Co | Pengxin International vs. Qinghaihuading Industrial 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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