Correlation Between Daishin Information and Naver
Can any of the company-specific risk be diversified away by investing in both Daishin Information and Naver 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 Naver 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 Naver, you can compare the effects of market volatilities on Daishin Information and Naver 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 Naver. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daishin Information and Naver.
Diversification Opportunities for Daishin Information and Naver
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daishin and Naver is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Daishin Information Communicat and Naver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Naver 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 Naver. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Naver has no effect on the direction of Daishin Information i.e., Daishin Information and Naver go up and down completely randomly.
Pair Corralation between Daishin Information and Naver
Assuming the 90 days trading horizon Daishin Information Communications is expected to generate 2.19 times more return on investment than Naver. However, Daishin Information is 2.19 times more volatile than Naver. It trades about 0.11 of its potential returns per unit of risk. Naver is currently generating about 0.15 per unit of risk. If you would invest 88,600 in Daishin Information Communications on October 23, 2024 and sell it today you would earn a total of 24,500 from holding Daishin Information Communications or generate 27.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Daishin Information Communicat vs. Naver
Performance |
Timeline |
Daishin Information |
Naver |
Daishin Information and Naver Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daishin Information and Naver
The main advantage of trading using opposite Daishin Information and Naver positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daishin Information position performs unexpectedly, Naver 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 Naver will offset losses from the drop in Naver's long position.Daishin Information vs. LAKE MATERIALS LTD | Daishin Information vs. LB Investment | Daishin Information vs. Solus Advanced Materials | Daishin Information vs. DB Financial Investment |
Naver vs. Daesung Hi Tech Co | Naver vs. Daishin Information Communications | Naver vs. Digital Power Communications | Naver vs. Lotte Data Communication |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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