Correlation Between Xinjiang Communications and Shanghai CEO
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By analyzing existing cross correlation between Xinjiang Communications Construction and Shanghai CEO Environmental, you can compare the effects of market volatilities on Xinjiang Communications and Shanghai CEO 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 Xinjiang Communications with a short position of Shanghai CEO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinjiang Communications and Shanghai CEO.
Diversification Opportunities for Xinjiang Communications and Shanghai CEO
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xinjiang and Shanghai is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Xinjiang Communications Constr and Shanghai CEO Environmental in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai CEO Environ and Xinjiang Communications 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 Xinjiang Communications Construction are associated (or correlated) with Shanghai CEO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai CEO Environ has no effect on the direction of Xinjiang Communications i.e., Xinjiang Communications and Shanghai CEO go up and down completely randomly.
Pair Corralation between Xinjiang Communications and Shanghai CEO
Assuming the 90 days trading horizon Xinjiang Communications Construction is expected to generate 1.31 times more return on investment than Shanghai CEO. However, Xinjiang Communications is 1.31 times more volatile than Shanghai CEO Environmental. It trades about 0.01 of its potential returns per unit of risk. Shanghai CEO Environmental is currently generating about -0.09 per unit of risk. If you would invest 1,067 in Xinjiang Communications Construction on October 9, 2024 and sell it today you would lose (15.00) from holding Xinjiang Communications Construction or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Xinjiang Communications Constr vs. Shanghai CEO Environmental
Performance |
Timeline |
Xinjiang Communications |
Shanghai CEO Environ |
Xinjiang Communications and Shanghai CEO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinjiang Communications and Shanghai CEO
The main advantage of trading using opposite Xinjiang Communications and Shanghai CEO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinjiang Communications position performs unexpectedly, Shanghai CEO 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 Shanghai CEO will offset losses from the drop in Shanghai CEO's long position.The idea behind Xinjiang Communications Construction and Shanghai CEO Environmental 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.
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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