Correlation Between Woorim Machinery and Hyosung Advanced
Can any of the company-specific risk be diversified away by investing in both Woorim Machinery and Hyosung Advanced 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 Woorim Machinery and Hyosung Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Woorim Machinery Co and Hyosung Advanced Materials, you can compare the effects of market volatilities on Woorim Machinery and Hyosung Advanced 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 Woorim Machinery with a short position of Hyosung Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Woorim Machinery and Hyosung Advanced.
Diversification Opportunities for Woorim Machinery and Hyosung Advanced
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Woorim and Hyosung is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Woorim Machinery Co and Hyosung Advanced Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyosung Advanced Mat and Woorim Machinery 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 Woorim Machinery Co are associated (or correlated) with Hyosung Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyosung Advanced Mat has no effect on the direction of Woorim Machinery i.e., Woorim Machinery and Hyosung Advanced go up and down completely randomly.
Pair Corralation between Woorim Machinery and Hyosung Advanced
Assuming the 90 days trading horizon Woorim Machinery Co is expected to generate 1.3 times more return on investment than Hyosung Advanced. However, Woorim Machinery is 1.3 times more volatile than Hyosung Advanced Materials. It trades about 0.0 of its potential returns per unit of risk. Hyosung Advanced Materials is currently generating about -0.13 per unit of risk. If you would invest 562,000 in Woorim Machinery Co on October 7, 2024 and sell it today you would lose (20,000) from holding Woorim Machinery Co or give up 3.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Woorim Machinery Co vs. Hyosung Advanced Materials
Performance |
Timeline |
Woorim Machinery |
Hyosung Advanced Mat |
Woorim Machinery and Hyosung Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Woorim Machinery and Hyosung Advanced
The main advantage of trading using opposite Woorim Machinery and Hyosung Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Woorim Machinery position performs unexpectedly, Hyosung Advanced 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 Hyosung Advanced will offset losses from the drop in Hyosung Advanced's long position.Woorim Machinery vs. Daejoo Electronic Materials | Woorim Machinery vs. Solus Advanced Materials | Woorim Machinery vs. Automobile Pc | Woorim Machinery vs. LG Chemicals |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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