Correlation Between Hyundai Steel and Hanil Chemical
Can any of the company-specific risk be diversified away by investing in both Hyundai Steel and Hanil 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 Hyundai Steel and Hanil Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Steel and Hanil Chemical Ind, you can compare the effects of market volatilities on Hyundai Steel and Hanil 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 Hyundai Steel with a short position of Hanil Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Steel and Hanil Chemical.
Diversification Opportunities for Hyundai Steel and Hanil Chemical
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hyundai and Hanil is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Steel and Hanil Chemical Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanil Chemical Ind and Hyundai 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 Hyundai Steel are associated (or correlated) with Hanil Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanil Chemical Ind has no effect on the direction of Hyundai Steel i.e., Hyundai Steel and Hanil Chemical go up and down completely randomly.
Pair Corralation between Hyundai Steel and Hanil Chemical
Assuming the 90 days trading horizon Hyundai Steel is expected to generate 7.06 times less return on investment than Hanil Chemical. In addition to that, Hyundai Steel is 1.29 times more volatile than Hanil Chemical Ind. It trades about 0.02 of its total potential returns per unit of risk. Hanil Chemical Ind is currently generating about 0.22 per unit of volatility. If you would invest 996,590 in Hanil Chemical Ind on October 1, 2024 and sell it today you would earn a total of 135,410 from holding Hanil Chemical Ind or generate 13.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hyundai Steel vs. Hanil Chemical Ind
Performance |
Timeline |
Hyundai Steel |
Hanil Chemical Ind |
Hyundai Steel and Hanil Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai Steel and Hanil Chemical
The main advantage of trading using opposite Hyundai Steel and Hanil Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Steel position performs unexpectedly, Hanil 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 Hanil Chemical will offset losses from the drop in Hanil Chemical's long position.Hyundai Steel vs. LG Chemicals | Hyundai Steel vs. POSCO Holdings | Hyundai Steel vs. Hanwha Solutions | Hyundai Steel vs. Lotte Chemical Corp |
Hanil Chemical vs. LG Chemicals | Hanil Chemical vs. POSCO Holdings | Hanil Chemical vs. Hanwha Solutions | Hanil Chemical vs. Lotte Chemical Corp |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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