Correlation Between Guangzhou KingTeller and Shenyang Huitian
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By analyzing existing cross correlation between Guangzhou KingTeller Technology and Shenyang Huitian Thermal, you can compare the effects of market volatilities on Guangzhou KingTeller and Shenyang Huitian 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 Guangzhou KingTeller with a short position of Shenyang Huitian. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou KingTeller and Shenyang Huitian.
Diversification Opportunities for Guangzhou KingTeller and Shenyang Huitian
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Guangzhou and Shenyang is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou KingTeller Technolog and Shenyang Huitian Thermal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenyang Huitian Thermal and Guangzhou KingTeller 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 Guangzhou KingTeller Technology are associated (or correlated) with Shenyang Huitian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenyang Huitian Thermal has no effect on the direction of Guangzhou KingTeller i.e., Guangzhou KingTeller and Shenyang Huitian go up and down completely randomly.
Pair Corralation between Guangzhou KingTeller and Shenyang Huitian
Assuming the 90 days trading horizon Guangzhou KingTeller is expected to generate 1.16 times less return on investment than Shenyang Huitian. In addition to that, Guangzhou KingTeller is 1.24 times more volatile than Shenyang Huitian Thermal. It trades about 0.05 of its total potential returns per unit of risk. Shenyang Huitian Thermal is currently generating about 0.07 per unit of volatility. If you would invest 254.00 in Shenyang Huitian Thermal on September 23, 2024 and sell it today you would earn a total of 162.00 from holding Shenyang Huitian Thermal or generate 63.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.62% |
Values | Daily Returns |
Guangzhou KingTeller Technolog vs. Shenyang Huitian Thermal
Performance |
Timeline |
Guangzhou KingTeller |
Shenyang Huitian Thermal |
Guangzhou KingTeller and Shenyang Huitian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou KingTeller and Shenyang Huitian
The main advantage of trading using opposite Guangzhou KingTeller and Shenyang Huitian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou KingTeller position performs unexpectedly, Shenyang Huitian 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 Shenyang Huitian will offset losses from the drop in Shenyang Huitian's long position.The idea behind Guangzhou KingTeller Technology and Shenyang Huitian Thermal 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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