Correlation Between Dow Jones and China Tower
Can any of the company-specific risk be diversified away by investing in both Dow Jones and China Tower 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 Tower 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 Tower, you can compare the effects of market volatilities on Dow Jones and China Tower 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 Tower. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and China Tower.
Diversification Opportunities for Dow Jones and China Tower
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and China is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and China Tower in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Tower 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 Tower. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Tower has no effect on the direction of Dow Jones i.e., Dow Jones and China Tower go up and down completely randomly.
Pair Corralation between Dow Jones and China Tower
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.39 times less return on investment than China Tower. But when comparing it to its historical volatility, Dow Jones Industrial is 6.47 times less risky than China Tower. It trades about 0.11 of its potential returns per unit of risk. China Tower is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 14.00 in China Tower on October 21, 2024 and sell it today you would earn a total of 0.00 from holding China Tower or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Dow Jones Industrial vs. China Tower
Performance |
Timeline |
Dow Jones and China Tower Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
China Tower
Pair trading matchups for China Tower
Pair Trading with Dow Jones and China Tower
The main advantage of trading using opposite Dow Jones and China Tower positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, China Tower 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 Tower will offset losses from the drop in China Tower's long position.Dow Jones vs. SkyWest | Dow Jones vs. Air Transport Services | Dow Jones vs. LATAM Airlines Group | Dow Jones vs. Emerson Radio |
China Tower vs. Singapore Telecommunications Limited | China Tower vs. Vodafone Group PLC | China Tower vs. MTN Group Ltd | China Tower vs. XL Axiata Tbk |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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