Correlation Between China Asset and Tianjin Silvery
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By analyzing existing cross correlation between China Asset Management and Tianjin Silvery Dragon, you can compare the effects of market volatilities on China Asset and Tianjin Silvery 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 Asset with a short position of Tianjin Silvery. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Asset and Tianjin Silvery.
Diversification Opportunities for China Asset and Tianjin Silvery
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and Tianjin is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding China Asset Management and Tianjin Silvery Dragon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tianjin Silvery Dragon and China Asset 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 Asset Management are associated (or correlated) with Tianjin Silvery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tianjin Silvery Dragon has no effect on the direction of China Asset i.e., China Asset and Tianjin Silvery go up and down completely randomly.
Pair Corralation between China Asset and Tianjin Silvery
Assuming the 90 days trading horizon China Asset Management is expected to generate 0.42 times more return on investment than Tianjin Silvery. However, China Asset Management is 2.4 times less risky than Tianjin Silvery. It trades about 0.38 of its potential returns per unit of risk. Tianjin Silvery Dragon is currently generating about -0.04 per unit of risk. If you would invest 365.00 in China Asset Management on November 8, 2024 and sell it today you would earn a total of 39.00 from holding China Asset Management or generate 10.68% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
China Asset Management vs. Tianjin Silvery Dragon
Performance |
| Timeline |
| China Asset Management |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Strong
| Tianjin Silvery Dragon |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
China Asset and Tianjin Silvery Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with China Asset and Tianjin Silvery
The main advantage of trading using opposite China Asset and Tianjin Silvery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Asset position performs unexpectedly, Tianjin Silvery 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 Tianjin Silvery will offset losses from the drop in Tianjin Silvery's long position.The idea behind China Asset Management and Tianjin Silvery Dragon pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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