Correlation Between Daedong Metals and SK Bioscience
Can any of the company-specific risk be diversified away by investing in both Daedong Metals and SK Bioscience 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 Daedong Metals and SK Bioscience into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daedong Metals Co and SK Bioscience Co, you can compare the effects of market volatilities on Daedong Metals and SK Bioscience 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 Daedong Metals with a short position of SK Bioscience. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daedong Metals and SK Bioscience.
Diversification Opportunities for Daedong Metals and SK Bioscience
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Daedong and 302440 is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Daedong Metals Co and SK Bioscience Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Bioscience and Daedong Metals 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 Daedong Metals Co are associated (or correlated) with SK Bioscience. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Bioscience has no effect on the direction of Daedong Metals i.e., Daedong Metals and SK Bioscience go up and down completely randomly.
Pair Corralation between Daedong Metals and SK Bioscience
Assuming the 90 days trading horizon Daedong Metals Co is expected to generate 1.43 times more return on investment than SK Bioscience. However, Daedong Metals is 1.43 times more volatile than SK Bioscience Co. It trades about -0.01 of its potential returns per unit of risk. SK Bioscience Co is currently generating about -0.01 per unit of risk. If you would invest 834,000 in Daedong Metals Co on August 31, 2024 and sell it today you would lose (92,000) from holding Daedong Metals Co or give up 11.03% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daedong Metals Co vs. SK Bioscience Co
Performance |
| Timeline |
| Daedong Metals |
| SK Bioscience |
Daedong Metals and SK Bioscience Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daedong Metals and SK Bioscience
The main advantage of trading using opposite Daedong Metals and SK Bioscience positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daedong Metals position performs unexpectedly, SK Bioscience 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 SK Bioscience will offset losses from the drop in SK Bioscience's long position.| Daedong Metals vs. Ecocab Co | Daedong Metals vs. Daedong Gear Co | Daedong Metals vs. Hwashin Precision Engineering | Daedong Metals vs. YOUNGHWA TECH Co |
| SK Bioscience vs. Lindeman Asia Investment | SK Bioscience vs. Samyung Trading Co | SK Bioscience vs. Nh Investment And | SK Bioscience vs. Digital Power Communications |
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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