Correlation Between Shinsegae Food and Daelim Trading
Can any of the company-specific risk be diversified away by investing in both Shinsegae Food and Daelim Trading 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 Shinsegae Food and Daelim Trading into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinsegae Food and Daelim Trading Co, you can compare the effects of market volatilities on Shinsegae Food and Daelim Trading 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 Shinsegae Food with a short position of Daelim Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinsegae Food and Daelim Trading.
Diversification Opportunities for Shinsegae Food and Daelim Trading
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Shinsegae and Daelim is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Shinsegae Food and Daelim Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daelim Trading and Shinsegae 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 Shinsegae Food are associated (or correlated) with Daelim Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daelim Trading has no effect on the direction of Shinsegae Food i.e., Shinsegae Food and Daelim Trading go up and down completely randomly.
Pair Corralation between Shinsegae Food and Daelim Trading
Assuming the 90 days trading horizon Shinsegae Food is expected to generate 2.06 times more return on investment than Daelim Trading. However, Shinsegae Food is 2.06 times more volatile than Daelim Trading Co. It trades about 0.16 of its potential returns per unit of risk. Daelim Trading Co is currently generating about -0.12 per unit of risk. If you would invest 3,315,000 in Shinsegae Food on September 28, 2024 and sell it today you would earn a total of 590,000 from holding Shinsegae Food or generate 17.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shinsegae Food vs. Daelim Trading Co
Performance |
Timeline |
Shinsegae Food |
Daelim Trading |
Shinsegae Food and Daelim Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinsegae Food and Daelim Trading
The main advantage of trading using opposite Shinsegae Food and Daelim Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinsegae Food position performs unexpectedly, Daelim Trading 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 Daelim Trading will offset losses from the drop in Daelim Trading's long position.Shinsegae Food vs. Settlebank | Shinsegae Food vs. DB Insurance Co | Shinsegae Food vs. BNK Financial Group | Shinsegae Food vs. KB Financial Group |
Daelim Trading vs. Iljin Display | Daelim Trading vs. Taegu Broadcasting | Daelim Trading vs. Shinsegae Food | Daelim Trading vs. FOODWELL Co |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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