Correlation Between Beijing Tong and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Beijing Tong and Dow Jones 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 Beijing Tong and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Beijing Tong Ren and Dow Jones Industrial, you can compare the effects of market volatilities on Beijing Tong and Dow Jones 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 Beijing Tong with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Tong and Dow Jones.
Diversification Opportunities for Beijing Tong and Dow Jones
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Beijing and Dow is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Tong Ren and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Beijing Tong 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 Beijing Tong Ren are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Beijing Tong i.e., Beijing Tong and Dow Jones go up and down completely randomly.
Pair Corralation between Beijing Tong and Dow Jones
Assuming the 90 days horizon Beijing Tong Ren is expected to generate 3.9 times more return on investment than Dow Jones. However, Beijing Tong is 3.9 times more volatile than Dow Jones Industrial. It trades about 0.12 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest 81.00 in Beijing Tong Ren on September 12, 2024 and sell it today you would earn a total of 17.00 from holding Beijing Tong Ren or generate 20.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Beijing Tong Ren vs. Dow Jones Industrial
Performance |
Timeline |
Beijing Tong and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Beijing Tong Ren
Pair trading matchups for Beijing Tong
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Beijing Tong and Dow Jones
The main advantage of trading using opposite Beijing Tong and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Tong position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Beijing Tong vs. REGAL ASIAN INVESTMENTS | Beijing Tong vs. Jacquet Metal Service | Beijing Tong vs. AGNC INVESTMENT | Beijing Tong vs. Evolution Mining Limited |
Dow Jones vs. Aeye Inc | Dow Jones vs. Gentex | Dow Jones vs. Marine Products | Dow Jones vs. CarsalesCom Ltd ADR |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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