Correlation Between Daishin Information and Foodnamoo
Can any of the company-specific risk be diversified away by investing in both Daishin Information and Foodnamoo 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 Daishin Information and Foodnamoo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daishin Information Communications and Foodnamoo, you can compare the effects of market volatilities on Daishin Information and Foodnamoo 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 Daishin Information with a short position of Foodnamoo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daishin Information and Foodnamoo.
Diversification Opportunities for Daishin Information and Foodnamoo
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daishin and Foodnamoo is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Daishin Information Communicat and Foodnamoo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Foodnamoo and Daishin Information 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 Daishin Information Communications are associated (or correlated) with Foodnamoo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Foodnamoo has no effect on the direction of Daishin Information i.e., Daishin Information and Foodnamoo go up and down completely randomly.
Pair Corralation between Daishin Information and Foodnamoo
Assuming the 90 days trading horizon Daishin Information Communications is expected to generate 0.55 times more return on investment than Foodnamoo. However, Daishin Information Communications is 1.82 times less risky than Foodnamoo. It trades about -0.03 of its potential returns per unit of risk. Foodnamoo is currently generating about -0.07 per unit of risk. If you would invest 87,000 in Daishin Information Communications on September 2, 2024 and sell it today you would lose (1,100) from holding Daishin Information Communications or give up 1.26% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daishin Information Communicat vs. Foodnamoo
Performance |
| Timeline |
| Daishin Information |
| Foodnamoo |
Daishin Information and Foodnamoo Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daishin Information and Foodnamoo
The main advantage of trading using opposite Daishin Information and Foodnamoo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daishin Information position performs unexpectedly, Foodnamoo 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 Foodnamoo will offset losses from the drop in Foodnamoo's long position.| Daishin Information vs. Busan Industrial Co | Daishin Information vs. Busan Ind | Daishin Information vs. Mirae Asset Daewoo | Daishin Information vs. Finebesteel |
| Foodnamoo vs. Busan Industrial Co | Foodnamoo vs. Busan Ind | Foodnamoo vs. Mirae Asset Daewoo | Foodnamoo vs. Finebesteel |
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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