Correlation Between Changjiang Jinggong and Servyou Software
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By analyzing existing cross correlation between Changjiang Jinggong Steel and Servyou Software Group, you can compare the effects of market volatilities on Changjiang Jinggong and Servyou Software 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 Changjiang Jinggong with a short position of Servyou Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Changjiang Jinggong and Servyou Software.
Diversification Opportunities for Changjiang Jinggong and Servyou Software
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Changjiang and Servyou is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Changjiang Jinggong Steel and Servyou Software Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Servyou Software and Changjiang Jinggong 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 Changjiang Jinggong Steel are associated (or correlated) with Servyou Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Servyou Software has no effect on the direction of Changjiang Jinggong i.e., Changjiang Jinggong and Servyou Software go up and down completely randomly.
Pair Corralation between Changjiang Jinggong and Servyou Software
Assuming the 90 days trading horizon Changjiang Jinggong is expected to generate 24.65 times less return on investment than Servyou Software. But when comparing it to its historical volatility, Changjiang Jinggong Steel is 3.24 times less risky than Servyou Software. It trades about 0.03 of its potential returns per unit of risk. Servyou Software Group is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 2,805 in Servyou Software Group on September 5, 2024 and sell it today you would earn a total of 575.00 from holding Servyou Software Group or generate 20.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Changjiang Jinggong Steel vs. Servyou Software Group
Performance |
Timeline |
Changjiang Jinggong Steel |
Servyou Software |
Changjiang Jinggong and Servyou Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Changjiang Jinggong and Servyou Software
The main advantage of trading using opposite Changjiang Jinggong and Servyou Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Changjiang Jinggong position performs unexpectedly, Servyou Software 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 Servyou Software will offset losses from the drop in Servyou Software's long position.The idea behind Changjiang Jinggong Steel and Servyou Software Group 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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