Correlation Between Duksan Hi and Nice Information
Can any of the company-specific risk be diversified away by investing in both Duksan Hi and Nice Information 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 Duksan Hi and Nice Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Duksan Hi Metal and Nice Information Telecommunication, you can compare the effects of market volatilities on Duksan Hi and Nice Information 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 Duksan Hi with a short position of Nice Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Duksan Hi and Nice Information.
Diversification Opportunities for Duksan Hi and Nice Information
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Duksan and Nice is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Duksan Hi Metal and Nice Information Telecommunica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nice Information Tel and Duksan Hi 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 Duksan Hi Metal are associated (or correlated) with Nice Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nice Information Tel has no effect on the direction of Duksan Hi i.e., Duksan Hi and Nice Information go up and down completely randomly.
Pair Corralation between Duksan Hi and Nice Information
Assuming the 90 days trading horizon Duksan Hi Metal is expected to generate 2.31 times more return on investment than Nice Information. However, Duksan Hi is 2.31 times more volatile than Nice Information Telecommunication. It trades about -0.01 of its potential returns per unit of risk. Nice Information Telecommunication is currently generating about -0.06 per unit of risk. If you would invest 568,000 in Duksan Hi Metal on October 1, 2024 and sell it today you would lose (189,000) from holding Duksan Hi Metal or give up 33.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Duksan Hi Metal vs. Nice Information Telecommunica
Performance |
Timeline |
Duksan Hi Metal |
Nice Information Tel |
Duksan Hi and Nice Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Duksan Hi and Nice Information
The main advantage of trading using opposite Duksan Hi and Nice Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Duksan Hi position performs unexpectedly, Nice Information 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 Nice Information will offset losses from the drop in Nice Information's long position.Duksan Hi vs. Dongsin Engineering Construction | Duksan Hi vs. Doosan Fuel Cell | Duksan Hi vs. Daishin Balance 1 | Duksan Hi vs. Total Soft Bank |
Nice Information vs. Soulbrain Holdings Co | Nice Information vs. NICE Total Cash | Nice Information vs. Geumhwa Plant Service | Nice Information vs. AfreecaTV 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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