Correlation Between CVB Financial and Chuangs China
Can any of the company-specific risk be diversified away by investing in both CVB Financial and Chuangs China at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CVB Financial and Chuangs China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CVB Financial Corp and Chuangs China Investments, you can compare the effects of market volatilities on CVB Financial and Chuangs China 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 CVB Financial with a short position of Chuangs China. Check out your portfolio center. Please also check ongoing floating volatility patterns of CVB Financial and Chuangs China.
Diversification Opportunities for CVB Financial and Chuangs China
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between CVB and Chuangs is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding CVB Financial Corp and Chuangs China Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chuangs China Investments and CVB Financial 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 CVB Financial Corp are associated (or correlated) with Chuangs China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chuangs China Investments has no effect on the direction of CVB Financial i.e., CVB Financial and Chuangs China go up and down completely randomly.
Pair Corralation between CVB Financial and Chuangs China
Assuming the 90 days horizon CVB Financial is expected to generate 1.97 times less return on investment than Chuangs China. But when comparing it to its historical volatility, CVB Financial Corp is 2.27 times less risky than Chuangs China. It trades about 0.14 of its potential returns per unit of risk. Chuangs China Investments is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1.00 in Chuangs China Investments on April 23, 2025 and sell it today you would earn a total of 0.25 from holding Chuangs China Investments or generate 25.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CVB Financial Corp vs. Chuangs China Investments
Performance |
Timeline |
CVB Financial Corp |
Chuangs China Investments |
CVB Financial and Chuangs China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CVB Financial and Chuangs China
The main advantage of trading using opposite CVB Financial and Chuangs China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CVB Financial position performs unexpectedly, Chuangs China 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 Chuangs China will offset losses from the drop in Chuangs China's long position.CVB Financial vs. CEOTRONICS | CVB Financial vs. China Medical System | CVB Financial vs. Coor Service Management | CVB Financial vs. SHELF DRILLING LTD |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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