Correlation Between DIVIDEND GROWTH and AIR CHINA
Can any of the company-specific risk be diversified away by investing in both DIVIDEND GROWTH and AIR 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 DIVIDEND GROWTH and AIR CHINA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DIVIDEND GROWTH SPLIT and AIR CHINA LTD, you can compare the effects of market volatilities on DIVIDEND GROWTH and AIR 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 DIVIDEND GROWTH with a short position of AIR CHINA. Check out your portfolio center. Please also check ongoing floating volatility patterns of DIVIDEND GROWTH and AIR CHINA.
Diversification Opportunities for DIVIDEND GROWTH and AIR CHINA
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DIVIDEND and AIR is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding DIVIDEND GROWTH SPLIT and AIR CHINA LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AIR CHINA LTD and DIVIDEND GROWTH 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 DIVIDEND GROWTH SPLIT are associated (or correlated) with AIR CHINA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AIR CHINA LTD has no effect on the direction of DIVIDEND GROWTH i.e., DIVIDEND GROWTH and AIR CHINA go up and down completely randomly.
Pair Corralation between DIVIDEND GROWTH and AIR CHINA
Assuming the 90 days horizon DIVIDEND GROWTH SPLIT is expected to generate 1.14 times more return on investment than AIR CHINA. However, DIVIDEND GROWTH is 1.14 times more volatile than AIR CHINA LTD. It trades about 0.13 of its potential returns per unit of risk. AIR CHINA LTD is currently generating about 0.06 per unit of risk. If you would invest 358.00 in DIVIDEND GROWTH SPLIT on April 20, 2025 and sell it today you would earn a total of 76.00 from holding DIVIDEND GROWTH SPLIT or generate 21.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DIVIDEND GROWTH SPLIT vs. AIR CHINA LTD
Performance |
Timeline |
DIVIDEND GROWTH SPLIT |
AIR CHINA LTD |
DIVIDEND GROWTH and AIR CHINA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DIVIDEND GROWTH and AIR CHINA
The main advantage of trading using opposite DIVIDEND GROWTH and AIR CHINA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DIVIDEND GROWTH position performs unexpectedly, AIR 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 AIR CHINA will offset losses from the drop in AIR CHINA's long position.DIVIDEND GROWTH vs. ETFS Coffee ETC | DIVIDEND GROWTH vs. United Rentals | DIVIDEND GROWTH vs. Iridium Communications | DIVIDEND GROWTH vs. ecotel communication ag |
AIR CHINA vs. AGNC INVESTMENT | AIR CHINA vs. Postal Savings Bank | AIR CHINA vs. AECOM TECHNOLOGY | AIR CHINA vs. MidCap Financial Investment |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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