Correlation Between Dow Jones and Chunbo
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Chunbo 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 Chunbo 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 Chunbo Co, you can compare the effects of market volatilities on Dow Jones and Chunbo 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 Chunbo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Chunbo.
Diversification Opportunities for Dow Jones and Chunbo
Weak diversification
The 3 months correlation between Dow and Chunbo is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Chunbo Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunbo 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 Chunbo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chunbo has no effect on the direction of Dow Jones i.e., Dow Jones and Chunbo go up and down completely randomly.
Pair Corralation between Dow Jones and Chunbo
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.3 times more return on investment than Chunbo. However, Dow Jones Industrial is 3.33 times less risky than Chunbo. It trades about -0.04 of its potential returns per unit of risk. Chunbo Co is currently generating about -0.02 per unit of risk. If you would invest 4,257,373 in Dow Jones Industrial on December 30, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.16% |
Values | Daily Returns |
Dow Jones Industrial vs. Chunbo Co
Performance |
Timeline |
Dow Jones and Chunbo Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Chunbo Co
Pair trading matchups for Chunbo
Pair Trading with Dow Jones and Chunbo
The main advantage of trading using opposite Dow Jones and Chunbo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Chunbo 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 Chunbo will offset losses from the drop in Chunbo's long position.Dow Jones vs. Highway Holdings Limited | Dow Jones vs. Companhia Siderurgica Nacional | Dow Jones vs. POSCO Holdings | Dow Jones vs. Grupo Simec SAB |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |