Correlation Between Daejung Chemicals and Hyundai Hcn
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and Hyundai Hcn 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 Daejung Chemicals and Hyundai Hcn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and Hyundai Hcn, you can compare the effects of market volatilities on Daejung Chemicals and Hyundai Hcn 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 Daejung Chemicals with a short position of Hyundai Hcn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and Hyundai Hcn.
Diversification Opportunities for Daejung Chemicals and Hyundai Hcn
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daejung and Hyundai is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and Hyundai Hcn in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Hcn and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with Hyundai Hcn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Hcn has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and Hyundai Hcn go up and down completely randomly.
Pair Corralation between Daejung Chemicals and Hyundai Hcn
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 0.54 times more return on investment than Hyundai Hcn. However, Daejung Chemicals Metals is 1.86 times less risky than Hyundai Hcn. It trades about 0.0 of its potential returns per unit of risk. Hyundai Hcn is currently generating about -0.26 per unit of risk. If you would invest 1,269,000 in Daejung Chemicals Metals on December 25, 2024 and sell it today you would lose (6,000) from holding Daejung Chemicals Metals or give up 0.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.25% |
Values | Daily Returns |
Daejung Chemicals Metals vs. Hyundai Hcn
Performance |
Timeline |
Daejung Chemicals Metals |
Hyundai Hcn |
Daejung Chemicals and Hyundai Hcn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and Hyundai Hcn
The main advantage of trading using opposite Daejung Chemicals and Hyundai Hcn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, Hyundai Hcn 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 Hyundai Hcn will offset losses from the drop in Hyundai Hcn's long position.Daejung Chemicals vs. Dgb Financial | Daejung Chemicals vs. Dongil Steel Co | Daejung Chemicals vs. BNK Financial Group | Daejung Chemicals vs. Finebesteel |
Hyundai Hcn vs. Husteel | Hyundai Hcn vs. INFINITT Healthcare Co | Hyundai Hcn vs. Jeil Steel Mfg | Hyundai Hcn vs. Daechang Steel 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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