Correlation Between Hyundai Engineering and Innometry
Can any of the company-specific risk be diversified away by investing in both Hyundai Engineering and Innometry 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 Engineering and Innometry into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Engineering Plastics and Innometry Co, you can compare the effects of market volatilities on Hyundai Engineering and Innometry 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 Engineering with a short position of Innometry. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Engineering and Innometry.
Diversification Opportunities for Hyundai Engineering and Innometry
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hyundai and Innometry is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Engineering Plastics and Innometry Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innometry and Hyundai Engineering 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 Engineering Plastics are associated (or correlated) with Innometry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innometry has no effect on the direction of Hyundai Engineering i.e., Hyundai Engineering and Innometry go up and down completely randomly.
Pair Corralation between Hyundai Engineering and Innometry
Assuming the 90 days trading horizon Hyundai Engineering Plastics is expected to under-perform the Innometry. But the stock apears to be less risky and, when comparing its historical volatility, Hyundai Engineering Plastics is 1.81 times less risky than Innometry. The stock trades about -0.09 of its potential returns per unit of risk. The Innometry Co is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 752,000 in Innometry Co on October 23, 2024 and sell it today you would lose (8,000) from holding Innometry Co or give up 1.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hyundai Engineering Plastics vs. Innometry Co
Performance |
Timeline |
Hyundai Engineering |
Innometry |
Hyundai Engineering and Innometry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai Engineering and Innometry
The main advantage of trading using opposite Hyundai Engineering and Innometry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Engineering position performs unexpectedly, Innometry 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 Innometry will offset losses from the drop in Innometry's long position.Hyundai Engineering vs. Hana Technology Co | Hyundai Engineering vs. Korea Alcohol Industrial | Hyundai Engineering vs. Bosung Power Technology | Hyundai Engineering vs. Automobile Pc |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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