Correlation Between Tengda Construction and Shanghai 2345
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By analyzing existing cross correlation between Tengda Construction Group and Shanghai 2345 Network, you can compare the effects of market volatilities on Tengda Construction and Shanghai 2345 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 Tengda Construction with a short position of Shanghai 2345. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tengda Construction and Shanghai 2345.
Diversification Opportunities for Tengda Construction and Shanghai 2345
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tengda and Shanghai is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Tengda Construction Group and Shanghai 2345 Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shanghai 2345 Network and Tengda Construction 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 Tengda Construction Group are associated (or correlated) with Shanghai 2345. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shanghai 2345 Network has no effect on the direction of Tengda Construction i.e., Tengda Construction and Shanghai 2345 go up and down completely randomly.
Pair Corralation between Tengda Construction and Shanghai 2345
Assuming the 90 days trading horizon Tengda Construction Group is expected to under-perform the Shanghai 2345. But the stock apears to be less risky and, when comparing its historical volatility, Tengda Construction Group is 1.59 times less risky than Shanghai 2345. The stock trades about -0.01 of its potential returns per unit of risk. The Shanghai 2345 Network is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 300.00 in Shanghai 2345 Network on October 6, 2024 and sell it today you would earn a total of 69.00 from holding Shanghai 2345 Network or generate 23.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.67% |
Values | Daily Returns |
Tengda Construction Group vs. Shanghai 2345 Network
Performance |
Timeline |
Tengda Construction |
Shanghai 2345 Network |
Tengda Construction and Shanghai 2345 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tengda Construction and Shanghai 2345
The main advantage of trading using opposite Tengda Construction and Shanghai 2345 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tengda Construction position performs unexpectedly, Shanghai 2345 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 2345 will offset losses from the drop in Shanghai 2345's long position.The idea behind Tengda Construction Group and Shanghai 2345 Network 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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