Correlation Between China Securities and XCMG Construction
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By analyzing existing cross correlation between China Securities 800 and XCMG Construction Machinery, you can compare the effects of market volatilities on China Securities and XCMG Construction 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 China Securities with a short position of XCMG Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and XCMG Construction.
Diversification Opportunities for China Securities and XCMG Construction
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and XCMG is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and XCMG Construction Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XCMG Construction and China Securities 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 China Securities 800 are associated (or correlated) with XCMG Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XCMG Construction has no effect on the direction of China Securities i.e., China Securities and XCMG Construction go up and down completely randomly.
Pair Corralation between China Securities and XCMG Construction
Assuming the 90 days trading horizon China Securities 800 is expected to under-perform the XCMG Construction. But the index apears to be less risky and, when comparing its historical volatility, China Securities 800 is 1.59 times less risky than XCMG Construction. The index trades about -0.02 of its potential returns per unit of risk. The XCMG Construction Machinery is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 764.00 in XCMG Construction Machinery on October 24, 2024 and sell it today you would earn a total of 10.00 from holding XCMG Construction Machinery or generate 1.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
China Securities 800 vs. XCMG Construction Machinery
Performance |
Timeline |
China Securities and XCMG Construction Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
XCMG Construction Machinery
Pair trading matchups for XCMG Construction
Pair Trading with China Securities and XCMG Construction
The main advantage of trading using opposite China Securities and XCMG Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, XCMG Construction 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 XCMG Construction will offset losses from the drop in XCMG Construction's long position.China Securities vs. Anhui Shiny Electronic | China Securities vs. Aurora Optoelectronics Co | China Securities vs. Success Electronics | China Securities vs. Sihui Fuji Electronics |
XCMG Construction vs. China National Software | XCMG Construction vs. Xiamen Goldenhome Co | XCMG Construction vs. Nanjing OLO Home | XCMG Construction vs. Shanghai Newtouch Software |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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