Correlation Between China Securities and Beijing Shanghai
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By analyzing existing cross correlation between China Securities 800 and Beijing Shanghai High Speed, you can compare the effects of market volatilities on China Securities and Beijing Shanghai 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 Beijing Shanghai. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Beijing Shanghai.
Diversification Opportunities for China Securities and Beijing Shanghai
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and Beijing is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Beijing Shanghai High Speed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Shanghai High 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 Beijing Shanghai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Shanghai High has no effect on the direction of China Securities i.e., China Securities and Beijing Shanghai go up and down completely randomly.
Pair Corralation between China Securities and Beijing Shanghai
Assuming the 90 days trading horizon China Securities is expected to generate 39.31 times less return on investment than Beijing Shanghai. But when comparing it to its historical volatility, China Securities 800 is 1.55 times less risky than Beijing Shanghai. It trades about 0.01 of its potential returns per unit of risk. Beijing Shanghai High Speed is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 568.00 in Beijing Shanghai High Speed on September 19, 2024 and sell it today you would earn a total of 51.00 from holding Beijing Shanghai High Speed or generate 8.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Beijing Shanghai High Speed
Performance |
Timeline |
China Securities and Beijing Shanghai Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Beijing Shanghai High Speed
Pair trading matchups for Beijing Shanghai
Pair Trading with China Securities and Beijing Shanghai
The main advantage of trading using opposite China Securities and Beijing Shanghai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Beijing Shanghai 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 Beijing Shanghai will offset losses from the drop in Beijing Shanghai'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 |
Beijing Shanghai vs. Harbin Air Conditioning | Beijing Shanghai vs. UE Furniture Co | Beijing Shanghai vs. Shandong Homey Aquatic | Beijing Shanghai vs. Juneyao Airlines |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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