Correlation Between Cheryong Electric and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Cheryong Electric 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 Cheryong Electric and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheryong Electric CoLtd and Dow Jones Industrial, you can compare the effects of market volatilities on Cheryong Electric 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 Cheryong Electric with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheryong Electric and Dow Jones.
Diversification Opportunities for Cheryong Electric and Dow Jones
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cheryong and Dow is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Cheryong Electric CoLtd 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 Cheryong Electric 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 Cheryong Electric CoLtd 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 Cheryong Electric i.e., Cheryong Electric and Dow Jones go up and down completely randomly.
Pair Corralation between Cheryong Electric and Dow Jones
Assuming the 90 days trading horizon Cheryong Electric CoLtd is expected to generate 5.75 times more return on investment than Dow Jones. However, Cheryong Electric is 5.75 times more volatile than Dow Jones Industrial. It trades about 0.05 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.12 per unit of risk. If you would invest 5,334,900 in Cheryong Electric CoLtd on November 2, 2024 and sell it today you would earn a total of 765,100 from holding Cheryong Electric CoLtd or generate 14.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.31% |
Values | Daily Returns |
Cheryong Electric CoLtd vs. Dow Jones Industrial
Performance |
Timeline |
Cheryong Electric and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Cheryong Electric CoLtd
Pair trading matchups for Cheryong Electric
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Cheryong Electric and Dow Jones
The main advantage of trading using opposite Cheryong Electric and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheryong Electric 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.Cheryong Electric vs. Dawonsys CoLtd | Cheryong Electric vs. Elentec Co | Cheryong Electric vs. Robostar CoLtd | Cheryong Electric vs. HyVision System |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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