Correlation Between Daishin Information and Daesung Hi
Can any of the company-specific risk be diversified away by investing in both Daishin Information and Daesung Hi 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 Daesung Hi 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 Daesung Hi Tech Co, you can compare the effects of market volatilities on Daishin Information and Daesung Hi 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 Daesung Hi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daishin Information and Daesung Hi.
Diversification Opportunities for Daishin Information and Daesung Hi
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Daishin and Daesung is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Daishin Information Communicat and Daesung Hi Tech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daesung Hi Tech 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 Daesung Hi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daesung Hi Tech has no effect on the direction of Daishin Information i.e., Daishin Information and Daesung Hi go up and down completely randomly.
Pair Corralation between Daishin Information and Daesung Hi
Assuming the 90 days trading horizon Daishin Information Communications is expected to generate 1.93 times more return on investment than Daesung Hi. However, Daishin Information is 1.93 times more volatile than Daesung Hi Tech Co. It trades about 0.09 of its potential returns per unit of risk. Daesung Hi Tech Co is currently generating about -0.21 per unit of risk. If you would invest 88,600 in Daishin Information Communications on October 22, 2024 and sell it today you would earn a total of 17,400 from holding Daishin Information Communications or generate 19.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daishin Information Communicat vs. Daesung Hi Tech Co
Performance |
Timeline |
Daishin Information |
Daesung Hi Tech |
Daishin Information and Daesung Hi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daishin Information and Daesung Hi
The main advantage of trading using opposite Daishin Information and Daesung Hi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daishin Information position performs unexpectedly, Daesung Hi 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 Daesung Hi will offset losses from the drop in Daesung Hi's long position.Daishin Information vs. A Tech Solution Co | Daishin Information vs. Organic Special Pet | Daishin Information vs. Spolytech Co | Daishin Information vs. Raontech |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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