Correlation Between Shantui Construction and Zhejiang Daily
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By analyzing existing cross correlation between Shantui Construction Machinery and Zhejiang Daily Media, you can compare the effects of market volatilities on Shantui Construction and Zhejiang Daily 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 Shantui Construction with a short position of Zhejiang Daily. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shantui Construction and Zhejiang Daily.
Diversification Opportunities for Shantui Construction and Zhejiang Daily
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shantui and Zhejiang is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Shantui Construction Machinery and Zhejiang Daily Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhejiang Daily Media and Shantui 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 Shantui Construction Machinery are associated (or correlated) with Zhejiang Daily. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhejiang Daily Media has no effect on the direction of Shantui Construction i.e., Shantui Construction and Zhejiang Daily go up and down completely randomly.
Pair Corralation between Shantui Construction and Zhejiang Daily
Assuming the 90 days trading horizon Shantui Construction is expected to generate 1.63 times less return on investment than Zhejiang Daily. In addition to that, Shantui Construction is 1.18 times more volatile than Zhejiang Daily Media. It trades about 0.04 of its total potential returns per unit of risk. Zhejiang Daily Media is currently generating about 0.07 per unit of volatility. If you would invest 1,071 in Zhejiang Daily Media on September 20, 2024 and sell it today you would earn a total of 33.00 from holding Zhejiang Daily Media or generate 3.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shantui Construction Machinery vs. Zhejiang Daily Media
Performance |
Timeline |
Shantui Construction |
Zhejiang Daily Media |
Shantui Construction and Zhejiang Daily Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shantui Construction and Zhejiang Daily
The main advantage of trading using opposite Shantui Construction and Zhejiang Daily positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shantui Construction position performs unexpectedly, Zhejiang Daily 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 Zhejiang Daily will offset losses from the drop in Zhejiang Daily's long position.The idea behind Shantui Construction Machinery and Zhejiang Daily Media 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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