Correlation Between Seoul Food and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Seoul Food 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 Seoul Food and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Food Industrial and Dow Jones Industrial, you can compare the effects of market volatilities on Seoul Food 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 Seoul Food with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Food and Dow Jones.
Diversification Opportunities for Seoul Food and Dow Jones
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Seoul and Dow is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Food Industrial 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 Seoul Food 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 Seoul Food Industrial 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 Seoul Food i.e., Seoul Food and Dow Jones go up and down completely randomly.
Pair Corralation between Seoul Food and Dow Jones
Assuming the 90 days trading horizon Seoul Food Industrial is expected to under-perform the Dow Jones. In addition to that, Seoul Food is 2.01 times more volatile than Dow Jones Industrial. It trades about -0.05 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.11 per unit of volatility. If you would invest 3,312,774 in Dow Jones Industrial on August 26, 2024 and sell it today you would earn a total of 1,116,877 from holding Dow Jones Industrial or generate 33.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 96.7% |
Values | Daily Returns |
Seoul Food Industrial vs. Dow Jones Industrial
Performance |
Timeline |
Seoul Food and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Seoul Food Industrial
Pair trading matchups for Seoul Food
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Seoul Food and Dow Jones
The main advantage of trading using opposite Seoul Food and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Food 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.Seoul Food vs. AptaBio Therapeutics | Seoul Food vs. Daewoo SBI SPAC | Seoul Food vs. Dream Security co | Seoul Food vs. Microfriend |
Dow Jones vs. Vistra Energy Corp | Dow Jones vs. Fluence Energy | Dow Jones vs. Old Republic International | Dow Jones vs. Empresa Distribuidora y |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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