Correlation Between Dong-A Steel and Dongnam Chemical
Can any of the company-specific risk be diversified away by investing in both Dong-A Steel and Dongnam Chemical 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 Dongnam Chemical 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 Dongnam Chemical Co, you can compare the effects of market volatilities on Dong-A Steel and Dongnam Chemical 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 Dongnam Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dong-A Steel and Dongnam Chemical.
Diversification Opportunities for Dong-A Steel and Dongnam Chemical
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dong-A and Dongnam is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Dong A Steel Technology and Dongnam Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongnam Chemical 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 Dongnam Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongnam Chemical has no effect on the direction of Dong-A Steel i.e., Dong-A Steel and Dongnam Chemical go up and down completely randomly.
Pair Corralation between Dong-A Steel and Dongnam Chemical
Assuming the 90 days trading horizon Dong A Steel Technology is expected to generate 2.39 times more return on investment than Dongnam Chemical. However, Dong-A Steel is 2.39 times more volatile than Dongnam Chemical Co. It trades about 0.01 of its potential returns per unit of risk. Dongnam Chemical Co is currently generating about -0.04 per unit of risk. If you would invest 310,000 in Dong A Steel Technology on September 15, 2024 and sell it today you would lose (6,500) from holding Dong A Steel Technology or give up 2.1% 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. Dongnam Chemical Co
Performance |
Timeline |
Dong A Steel |
Dongnam Chemical |
Dong-A Steel and Dongnam Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dong-A Steel and Dongnam Chemical
The main advantage of trading using opposite Dong-A Steel and Dongnam Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dong-A Steel position performs unexpectedly, Dongnam Chemical 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 Dongnam Chemical will offset losses from the drop in Dongnam Chemical's long position.Dong-A Steel vs. Samsung Electronics Co | Dong-A Steel vs. Samsung Electronics Co | Dong-A Steel vs. SK Hynix | Dong-A Steel vs. POSCO Holdings |
Dongnam Chemical vs. Samsung Electronics Co | Dongnam Chemical vs. Samsung Electronics Co | Dongnam Chemical vs. SK Hynix | Dongnam Chemical vs. POSCO Holdings |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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