Correlation Between Youngchang Chemical and Hankook Steel
Can any of the company-specific risk be diversified away by investing in both Youngchang Chemical and Hankook Steel 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 Youngchang Chemical and Hankook Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Youngchang Chemical Co and Hankook Steel Co, you can compare the effects of market volatilities on Youngchang Chemical and Hankook Steel 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 Youngchang Chemical with a short position of Hankook Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Youngchang Chemical and Hankook Steel.
Diversification Opportunities for Youngchang Chemical and Hankook Steel
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Youngchang and Hankook is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Youngchang Chemical Co and Hankook Steel Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hankook Steel and Youngchang Chemical 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 Youngchang Chemical Co are associated (or correlated) with Hankook Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hankook Steel has no effect on the direction of Youngchang Chemical i.e., Youngchang Chemical and Hankook Steel go up and down completely randomly.
Pair Corralation between Youngchang Chemical and Hankook Steel
Assuming the 90 days trading horizon Youngchang Chemical Co is expected to generate 1.34 times more return on investment than Hankook Steel. However, Youngchang Chemical is 1.34 times more volatile than Hankook Steel Co. It trades about 0.49 of its potential returns per unit of risk. Hankook Steel Co is currently generating about 0.06 per unit of risk. If you would invest 1,172,000 in Youngchang Chemical Co on October 11, 2024 and sell it today you would earn a total of 499,000 from holding Youngchang Chemical Co or generate 42.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Youngchang Chemical Co vs. Hankook Steel Co
Performance |
Timeline |
Youngchang Chemical |
Hankook Steel |
Youngchang Chemical and Hankook Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Youngchang Chemical and Hankook Steel
The main advantage of trading using opposite Youngchang Chemical and Hankook Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Youngchang Chemical position performs unexpectedly, Hankook Steel 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 Hankook Steel will offset losses from the drop in Hankook Steel's long position.Youngchang Chemical vs. Korea Alcohol Industrial | Youngchang Chemical vs. CJ Seafood Corp | Youngchang Chemical vs. Samlip General Foods | Youngchang Chemical vs. LG Household Healthcare |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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