Correlation Between China Securities and Xinjiang Goldwind
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By analyzing existing cross correlation between China Securities 800 and Xinjiang Goldwind Science, you can compare the effects of market volatilities on China Securities and Xinjiang Goldwind 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 Xinjiang Goldwind. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Xinjiang Goldwind.
Diversification Opportunities for China Securities and Xinjiang Goldwind
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between China and Xinjiang is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Xinjiang Goldwind Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinjiang Goldwind Science 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 Xinjiang Goldwind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinjiang Goldwind Science has no effect on the direction of China Securities i.e., China Securities and Xinjiang Goldwind go up and down completely randomly.
Pair Corralation between China Securities and Xinjiang Goldwind
Assuming the 90 days trading horizon China Securities 800 is expected to under-perform the Xinjiang Goldwind. But the index apears to be less risky and, when comparing its historical volatility, China Securities 800 is 2.16 times less risky than Xinjiang Goldwind. The index trades about -0.01 of its potential returns per unit of risk. The Xinjiang Goldwind Science is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,049 in Xinjiang Goldwind Science on September 19, 2024 and sell it today you would earn a total of 17.00 from holding Xinjiang Goldwind Science or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Xinjiang Goldwind Science
Performance |
Timeline |
China Securities and Xinjiang Goldwind Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Xinjiang Goldwind Science
Pair trading matchups for Xinjiang Goldwind
Pair Trading with China Securities and Xinjiang Goldwind
The main advantage of trading using opposite China Securities and Xinjiang Goldwind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Xinjiang Goldwind 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 Goldwind will offset losses from the drop in Xinjiang Goldwind's long position.China Securities vs. Shandong Homey Aquatic | China Securities vs. Vohringer Home Technology | China Securities vs. Shanghai Shuixing Home | China Securities vs. Quectel Wireless Solutions |
Xinjiang Goldwind vs. China State Construction | Xinjiang Goldwind vs. Poly Real Estate | Xinjiang Goldwind vs. China Vanke Co | Xinjiang Goldwind vs. China Merchants Shekou |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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