Correlation Between Dow Jones and BANK OF CHINA
Can any of the company-specific risk be diversified away by investing in both Dow Jones and BANK OF 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 Dow Jones and BANK OF CHINA 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 BANK OF CHINA, you can compare the effects of market volatilities on Dow Jones and BANK OF 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 Dow Jones with a short position of BANK OF CHINA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and BANK OF CHINA.
Diversification Opportunities for Dow Jones and BANK OF CHINA
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and BANK is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and BANK OF CHINA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANK OF CHINA 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 BANK OF CHINA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANK OF CHINA has no effect on the direction of Dow Jones i.e., Dow Jones and BANK OF CHINA go up and down completely randomly.
Pair Corralation between Dow Jones and BANK OF CHINA
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the BANK OF CHINA. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.92 times less risky than BANK OF CHINA. The index trades about -0.22 of its potential returns per unit of risk. The BANK OF CHINA is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 47.00 in BANK OF CHINA on October 11, 2024 and sell it today you would earn a total of 2.00 from holding BANK OF CHINA or generate 4.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 81.82% |
| Values | Daily Returns |
Dow Jones Industrial vs. BANK OF CHINA
Performance |
| Timeline |
Dow Jones and BANK OF CHINA Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
BANK OF CHINA
Pair trading matchups for BANK OF CHINA
Pair Trading with Dow Jones and BANK OF CHINA
The main advantage of trading using opposite Dow Jones and BANK OF CHINA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, BANK OF 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 BANK OF CHINA will offset losses from the drop in BANK OF CHINA's long position.| Dow Jones vs. Toro | Dow Jones vs. Foot Locker | Dow Jones vs. Abercrombie Fitch | Dow Jones vs. 51Talk Online Education |
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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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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