Correlation Between Dong A and Dongil Technology
Can any of the company-specific risk be diversified away by investing in both Dong A and Dongil Technology 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 Dong A and Dongil Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dong A Steel Technology and Dongil Technology, you can compare the effects of market volatilities on Dong A and Dongil Technology 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 Dong A with a short position of Dongil Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dong A and Dongil Technology.
Diversification Opportunities for Dong A and Dongil Technology
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dong and Dongil is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Dong A Steel Technology and Dongil Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongil Technology and Dong A 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 Dong A Steel Technology are associated (or correlated) with Dongil Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongil Technology has no effect on the direction of Dong A i.e., Dong A and Dongil Technology go up and down completely randomly.
Pair Corralation between Dong A and Dongil Technology
Assuming the 90 days trading horizon Dong A Steel Technology is expected to generate 2.36 times more return on investment than Dongil Technology. However, Dong A is 2.36 times more volatile than Dongil Technology. It trades about 0.01 of its potential returns per unit of risk. Dongil Technology is currently generating about -0.04 per unit of risk. If you would invest 285,500 in Dong A Steel Technology on December 29, 2024 and sell it today you would lose (500.00) from holding Dong A Steel Technology or give up 0.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dong A Steel Technology vs. Dongil Technology
Performance |
Timeline |
Dong A Steel |
Dongil Technology |
Dong A and Dongil Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dong A and Dongil Technology
The main advantage of trading using opposite Dong A and Dongil Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dong A position performs unexpectedly, Dongil Technology 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 Dongil Technology will offset losses from the drop in Dongil Technology's long position.Dong A vs. AptaBio Therapeutics | Dong A vs. Daewoo SBI SPAC | Dong A vs. Dream Security co | Dong A vs. Microfriend |
Dongil Technology vs. LEENO Industrial | Dongil Technology vs. Youngsin Metal Industrial | Dongil Technology vs. Haesung Industrial Co | Dongil Technology vs. Daiyang Metal 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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