Correlation Between Dong-A Steel and Adaptive Plasma
Can any of the company-specific risk be diversified away by investing in both Dong-A Steel and Adaptive Plasma 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 Steel and Adaptive Plasma 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 Adaptive Plasma Technology, you can compare the effects of market volatilities on Dong-A Steel and Adaptive Plasma 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 Steel with a short position of Adaptive Plasma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dong-A Steel and Adaptive Plasma.
Diversification Opportunities for Dong-A Steel and Adaptive Plasma
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dong-A and Adaptive is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Dong A Steel Technology and Adaptive Plasma Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Adaptive Plasma Tech and Dong-A Steel 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 Adaptive Plasma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Adaptive Plasma Tech has no effect on the direction of Dong-A Steel i.e., Dong-A Steel and Adaptive Plasma go up and down completely randomly.
Pair Corralation between Dong-A Steel and Adaptive Plasma
Assuming the 90 days trading horizon Dong-A Steel is expected to generate 8.3 times less return on investment than Adaptive Plasma. But when comparing it to its historical volatility, Dong A Steel Technology is 1.52 times less risky than Adaptive Plasma. It trades about 0.04 of its potential returns per unit of risk. Adaptive Plasma Technology is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 587,000 in Adaptive Plasma Technology on December 4, 2024 and sell it today you would earn a total of 367,000 from holding Adaptive Plasma Technology or generate 62.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dong A Steel Technology vs. Adaptive Plasma Technology
Performance |
Timeline |
Dong A Steel |
Adaptive Plasma Tech |
Dong-A Steel and Adaptive Plasma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dong-A Steel and Adaptive Plasma
The main advantage of trading using opposite Dong-A Steel and Adaptive Plasma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dong-A Steel position performs unexpectedly, Adaptive Plasma 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 Adaptive Plasma will offset losses from the drop in Adaptive Plasma's long position.Dong-A Steel vs. Nam Hwa Construction | Dong-A Steel vs. ENERGYMACHINERY KOREA CoLtd | Dong-A Steel vs. KTB Investment Securities | Dong-A Steel vs. Daelim Trading Co |
Adaptive Plasma vs. Daesung Hi Tech Co | Adaptive Plasma vs. Nice Information Telecommunication | Adaptive Plasma vs. Nable Communications | Adaptive Plasma 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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