Correlation Between China Securities and Digital China
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By analyzing existing cross correlation between China Securities 800 and Digital China Information, you can compare the effects of market volatilities on China Securities and Digital China 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 Digital China. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Digital China.
Diversification Opportunities for China Securities and Digital China
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between China and Digital is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Digital China Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital China Information 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 Digital China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital China Information has no effect on the direction of China Securities i.e., China Securities and Digital China go up and down completely randomly.
Pair Corralation between China Securities and Digital China
Assuming the 90 days trading horizon China Securities is expected to generate 1.98 times less return on investment than Digital China. But when comparing it to its historical volatility, China Securities 800 is 1.75 times less risky than Digital China. It trades about 0.17 of its potential returns per unit of risk. Digital China Information is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 816.00 in Digital China Information on September 4, 2024 and sell it today you would earn a total of 409.00 from holding Digital China Information or generate 50.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.28% |
Values | Daily Returns |
China Securities 800 vs. Digital China Information
Performance |
Timeline |
China Securities and Digital China Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Digital China Information
Pair trading matchups for Digital China
Pair Trading with China Securities and Digital China
The main advantage of trading using opposite China Securities and Digital China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Digital China 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 Digital China will offset losses from the drop in Digital China's long position.China Securities vs. Xiwang Foodstuffs Co | China Securities vs. Beijing Sanyuan Foods | China Securities vs. Xinjiang Tianrun Dairy | China Securities vs. GRINM Semiconductor Materials |
Digital China vs. Jilin Chemical Fibre | Digital China vs. CICC Fund Management | Digital China vs. Hubei Dinglong Chemical | Digital China vs. Innovative Medical Management |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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