Correlation Between China Mengniu and Industrial
Can any of the company-specific risk be diversified away by investing in both China Mengniu and Industrial 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 China Mengniu and Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Mengniu Dairy and Industrial and Commercial, you can compare the effects of market volatilities on China Mengniu and Industrial 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 China Mengniu with a short position of Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Mengniu and Industrial.
Diversification Opportunities for China Mengniu and Industrial
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Industrial is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding China Mengniu Dairy and Industrial and Commercial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial and Commercial and China Mengniu 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 China Mengniu Dairy are associated (or correlated) with Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial and Commercial has no effect on the direction of China Mengniu i.e., China Mengniu and Industrial go up and down completely randomly.
Pair Corralation between China Mengniu and Industrial
Assuming the 90 days horizon China Mengniu is expected to generate 1.49 times less return on investment than Industrial. In addition to that, China Mengniu is 1.16 times more volatile than Industrial and Commercial. It trades about 0.08 of its total potential returns per unit of risk. Industrial and Commercial is currently generating about 0.13 per unit of volatility. If you would invest 60.00 in Industrial and Commercial on December 30, 2024 and sell it today you would earn a total of 12.00 from holding Industrial and Commercial or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 93.55% |
Values | Daily Returns |
China Mengniu Dairy vs. Industrial and Commercial
Performance |
Timeline |
China Mengniu Dairy |
Industrial and Commercial |
China Mengniu and Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Mengniu and Industrial
The main advantage of trading using opposite China Mengniu and Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Mengniu position performs unexpectedly, Industrial 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 Industrial will offset losses from the drop in Industrial's long position.China Mengniu vs. Nestle SA ADR | China Mengniu vs. ConAgra Foods | China Mengniu vs. Hormel Foods | China Mengniu vs. Kraft Heinz Co |
Industrial vs. Agricultural Bank | Industrial vs. Bank of America | Industrial vs. Bank of America | Industrial vs. Commonwealth Bank of |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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