Correlation Between Daesung Eltec and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Daesung Eltec 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 Daesung Eltec and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Eltec Co and Dow Jones Industrial, you can compare the effects of market volatilities on Daesung Eltec 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 Daesung Eltec with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Eltec and Dow Jones.
Diversification Opportunities for Daesung Eltec and Dow Jones
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Daesung and Dow is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Eltec Co 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 Daesung Eltec 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 Daesung Eltec Co 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 Daesung Eltec i.e., Daesung Eltec and Dow Jones go up and down completely randomly.
Pair Corralation between Daesung Eltec and Dow Jones
Assuming the 90 days trading horizon Daesung Eltec Co is expected to under-perform the Dow Jones. In addition to that, Daesung Eltec is 5.05 times more volatile than Dow Jones Industrial. It trades about -0.16 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of volatility. If you would invest 4,202,519 in Dow Jones Industrial on September 19, 2024 and sell it today you would earn a total of 142,471 from holding Dow Jones Industrial or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 76.19% |
Values | Daily Returns |
Daesung Eltec Co vs. Dow Jones Industrial
Performance |
Timeline |
Daesung Eltec and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Daesung Eltec Co
Pair trading matchups for Daesung Eltec
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Daesung Eltec and Dow Jones
The main advantage of trading using opposite Daesung Eltec and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Eltec 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.Daesung Eltec vs. Hannong Chemicals | Daesung Eltec vs. Miwon Chemical | Daesung Eltec vs. Iljin Display | Daesung Eltec vs. Daejung Chemicals Metals |
Dow Jones vs. Mangazeya Mining | Dow Jones vs. Summit Materials | Dow Jones vs. Perseus Mining Limited | Dow Jones vs. AMCON Distributing |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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