Correlation Between Dow Jones and CHINA MERCHANTS
Can any of the company-specific risk be diversified away by investing in both Dow Jones and CHINA MERCHANTS 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 Dow Jones and CHINA MERCHANTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and CHINA MERCHANTS, you can compare the effects of market volatilities on Dow Jones and CHINA MERCHANTS 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 Dow Jones with a short position of CHINA MERCHANTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and CHINA MERCHANTS.
Diversification Opportunities for Dow Jones and CHINA MERCHANTS
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and CHINA is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and CHINA MERCHANTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA MERCHANTS and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with CHINA MERCHANTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA MERCHANTS has no effect on the direction of Dow Jones i.e., Dow Jones and CHINA MERCHANTS go up and down completely randomly.
Pair Corralation between Dow Jones and CHINA MERCHANTS
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.61 times less return on investment than CHINA MERCHANTS. But when comparing it to its historical volatility, Dow Jones Industrial is 2.48 times less risky than CHINA MERCHANTS. It trades about 0.16 of its potential returns per unit of risk. CHINA MERCHANTS is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 141.00 in CHINA MERCHANTS on August 30, 2024 and sell it today you would earn a total of 12.00 from holding CHINA MERCHANTS or generate 8.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. CHINA MERCHANTS
Performance |
| Timeline |
Dow Jones and CHINA MERCHANTS Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
CHINA MERCHANTS
Pair trading matchups for CHINA MERCHANTS
Pair Trading with Dow Jones and CHINA MERCHANTS
The main advantage of trading using opposite Dow Jones and CHINA MERCHANTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, CHINA MERCHANTS 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 MERCHANTS will offset losses from the drop in CHINA MERCHANTS's long position.| Dow Jones vs. Skillful Craftsman Education | Dow Jones vs. Acco Brands | Dow Jones vs. Cracker Barrel Old | Dow Jones vs. Coursera |
| CHINA MERCHANTS vs. Zijin Mining Group | CHINA MERCHANTS vs. Harmony Gold Mining | CHINA MERCHANTS vs. Fast Retailing Co | CHINA MERCHANTS vs. RETAIL FOOD GROUP |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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