Correlation Between Han Kook and Hyundai Heavy
Can any of the company-specific risk be diversified away by investing in both Han Kook and Hyundai Heavy 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 Han Kook and Hyundai Heavy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Han Kook Steel and Hyundai Heavy Industries, you can compare the effects of market volatilities on Han Kook and Hyundai Heavy 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 Han Kook with a short position of Hyundai Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Han Kook and Hyundai Heavy.
Diversification Opportunities for Han Kook and Hyundai Heavy
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Han and Hyundai is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Han Kook Steel and Hyundai Heavy Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Heavy Industries and Han Kook 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 Han Kook Steel are associated (or correlated) with Hyundai Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Heavy Industries has no effect on the direction of Han Kook i.e., Han Kook and Hyundai Heavy go up and down completely randomly.
Pair Corralation between Han Kook and Hyundai Heavy
Assuming the 90 days trading horizon Han Kook Steel is expected to under-perform the Hyundai Heavy. But the stock apears to be less risky and, when comparing its historical volatility, Han Kook Steel is 1.9 times less risky than Hyundai Heavy. The stock trades about -0.17 of its potential returns per unit of risk. The Hyundai Heavy Industries is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 7,954,040 in Hyundai Heavy Industries on December 24, 2024 and sell it today you would lose (334,040) from holding Hyundai Heavy Industries or give up 4.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Han Kook Steel vs. Hyundai Heavy Industries
Performance |
Timeline |
Han Kook Steel |
Hyundai Heavy Industries |
Han Kook and Hyundai Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Han Kook and Hyundai Heavy
The main advantage of trading using opposite Han Kook and Hyundai Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Han Kook position performs unexpectedly, Hyundai Heavy 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 Heavy will offset losses from the drop in Hyundai Heavy's long position.Han Kook vs. Dongbu Steel Co | Han Kook vs. Alton Sports CoLtd | Han Kook vs. Cots Technology Co | Han Kook vs. Yura Tech Co |
Hyundai Heavy vs. J Steel Co | Hyundai Heavy vs. Seoyon Topmetal Co | Hyundai Heavy vs. Fine Besteel Co | Hyundai Heavy 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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