Correlation Between Guangzhou Jointas and Westone Information
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By analyzing existing cross correlation between Guangzhou Jointas Chemical and Westone Information Industry, you can compare the effects of market volatilities on Guangzhou Jointas and Westone Information 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 Jointas with a short position of Westone Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou Jointas and Westone Information.
Diversification Opportunities for Guangzhou Jointas and Westone Information
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Guangzhou and Westone is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou Jointas Chemical and Westone Information Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Westone Information and Guangzhou Jointas 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 Jointas Chemical are associated (or correlated) with Westone Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Westone Information has no effect on the direction of Guangzhou Jointas i.e., Guangzhou Jointas and Westone Information go up and down completely randomly.
Pair Corralation between Guangzhou Jointas and Westone Information
Assuming the 90 days trading horizon Guangzhou Jointas is expected to generate 1.11 times less return on investment than Westone Information. But when comparing it to its historical volatility, Guangzhou Jointas Chemical is 1.1 times less risky than Westone Information. It trades about 0.12 of its potential returns per unit of risk. Westone Information Industry is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,221 in Westone Information Industry on December 10, 2024 and sell it today you would earn a total of 562.00 from holding Westone Information Industry or generate 46.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Guangzhou Jointas Chemical vs. Westone Information Industry
Performance |
Timeline |
Guangzhou Jointas |
Westone Information |
Guangzhou Jointas and Westone Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou Jointas and Westone Information
The main advantage of trading using opposite Guangzhou Jointas and Westone Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou Jointas position performs unexpectedly, Westone Information 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 Westone Information will offset losses from the drop in Westone Information's long position.Guangzhou Jointas vs. Shenzhen Centralcon Investment | Guangzhou Jointas vs. Kingclean Electric Co | Guangzhou Jointas vs. Zhongrun Resources Investment | Guangzhou Jointas vs. Cultural Investment Holdings |
Westone Information vs. JCHX Mining Management | Westone Information vs. Hangzhou Minsheng Healthcare | Westone Information vs. Anhui Huaren Health | Westone Information vs. Guocheng Mining Co |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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