Correlation Between Dow Jones and Chunghwa Chemical
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Chunghwa Chemical 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 Chunghwa Chemical 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 Chunghwa Chemical Synthesis, you can compare the effects of market volatilities on Dow Jones and Chunghwa Chemical 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 Chunghwa Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Chunghwa Chemical.
Diversification Opportunities for Dow Jones and Chunghwa Chemical
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dow and Chunghwa is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Chunghwa Chemical Synthesis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chunghwa Chemical 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 Chunghwa Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chunghwa Chemical has no effect on the direction of Dow Jones i.e., Dow Jones and Chunghwa Chemical go up and down completely randomly.
Pair Corralation between Dow Jones and Chunghwa Chemical
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.38 times more return on investment than Chunghwa Chemical. However, Dow Jones Industrial is 2.64 times less risky than Chunghwa Chemical. It trades about 0.09 of its potential returns per unit of risk. Chunghwa Chemical Synthesis is currently generating about -0.07 per unit of risk. If you would invest 3,187,457 in Dow Jones Industrial on December 4, 2024 and sell it today you would earn a total of 1,131,667 from holding Dow Jones Industrial or generate 35.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.57% |
Values | Daily Returns |
Dow Jones Industrial vs. Chunghwa Chemical Synthesis
Performance |
Timeline |
Dow Jones and Chunghwa Chemical Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Chunghwa Chemical Synthesis
Pair trading matchups for Chunghwa Chemical
Pair Trading with Dow Jones and Chunghwa Chemical
The main advantage of trading using opposite Dow Jones and Chunghwa Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Chunghwa Chemical 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 Chunghwa Chemical will offset losses from the drop in Chunghwa Chemical's long position.Dow Jones vs. Ecovyst | Dow Jones vs. ioneer Ltd American | Dow Jones vs. Eastman Chemical | Dow Jones vs. Zijin Mining Group |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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