Correlation Between Shanghai Metersbonwe and China Securities
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By analyzing existing cross correlation between Shanghai Metersbonwe FashionAccessories and China Securities 800, you can compare the effects of market volatilities on Shanghai Metersbonwe and China Securities 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 Shanghai Metersbonwe with a short position of China Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shanghai Metersbonwe and China Securities.
Diversification Opportunities for Shanghai Metersbonwe and China Securities
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shanghai and China is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Shanghai Metersbonwe FashionAc and China Securities 800 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Securities 800 and Shanghai Metersbonwe 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 Shanghai Metersbonwe FashionAccessories are associated (or correlated) with China Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Securities 800 has no effect on the direction of Shanghai Metersbonwe i.e., Shanghai Metersbonwe and China Securities go up and down completely randomly.
Pair Corralation between Shanghai Metersbonwe and China Securities
Assuming the 90 days trading horizon Shanghai Metersbonwe FashionAccessories is expected to generate 1.96 times more return on investment than China Securities. However, Shanghai Metersbonwe is 1.96 times more volatile than China Securities 800. It trades about 0.27 of its potential returns per unit of risk. China Securities 800 is currently generating about 0.2 per unit of risk. If you would invest 138.00 in Shanghai Metersbonwe FashionAccessories on September 13, 2024 and sell it today you would earn a total of 126.00 from holding Shanghai Metersbonwe FashionAccessories or generate 91.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shanghai Metersbonwe FashionAc vs. China Securities 800
Performance |
Timeline |
Shanghai Metersbonwe and China Securities Volatility Contrast
Predicted Return Density |
Returns |
Shanghai Metersbonwe FashionAccessories
Pair trading matchups for Shanghai Metersbonwe
China Securities 800
Pair trading matchups for China Securities
Pair Trading with Shanghai Metersbonwe and China Securities
The main advantage of trading using opposite Shanghai Metersbonwe and China Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shanghai Metersbonwe position performs unexpectedly, China Securities 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 China Securities will offset losses from the drop in China Securities' long position.Shanghai Metersbonwe vs. Industrial and Commercial | Shanghai Metersbonwe vs. Agricultural Bank of | Shanghai Metersbonwe vs. China Construction Bank | Shanghai Metersbonwe vs. Bank of China |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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