Correlation Between Commercial Vehicle and China Pacific
Can any of the company-specific risk be diversified away by investing in both Commercial Vehicle and China Pacific 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 Commercial Vehicle and China Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commercial Vehicle Group and China Pacific Insurance, you can compare the effects of market volatilities on Commercial Vehicle and China Pacific 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 Commercial Vehicle with a short position of China Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commercial Vehicle and China Pacific.
Diversification Opportunities for Commercial Vehicle and China Pacific
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Commercial and China is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Commercial Vehicle Group and China Pacific Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Pacific Insurance and Commercial Vehicle 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 Commercial Vehicle Group are associated (or correlated) with China Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Pacific Insurance has no effect on the direction of Commercial Vehicle i.e., Commercial Vehicle and China Pacific go up and down completely randomly.
Pair Corralation between Commercial Vehicle and China Pacific
Assuming the 90 days trading horizon Commercial Vehicle Group is expected to under-perform the China Pacific. In addition to that, Commercial Vehicle is 1.27 times more volatile than China Pacific Insurance. It trades about -0.2 of its total potential returns per unit of risk. China Pacific Insurance is currently generating about -0.01 per unit of volatility. If you would invest 302.00 in China Pacific Insurance on December 24, 2024 and sell it today you would lose (12.00) from holding China Pacific Insurance or give up 3.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Commercial Vehicle Group vs. China Pacific Insurance
Performance |
Timeline |
Commercial Vehicle |
China Pacific Insurance |
Commercial Vehicle and China Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commercial Vehicle and China Pacific
The main advantage of trading using opposite Commercial Vehicle and China Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commercial Vehicle position performs unexpectedly, China Pacific 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 China Pacific will offset losses from the drop in China Pacific's long position.Commercial Vehicle vs. SINGAPORE AIRLINES | Commercial Vehicle vs. Veolia Environnement SA | Commercial Vehicle vs. Nippon Steel | Commercial Vehicle vs. United States Steel |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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