Correlation Between Hyundai Engineering and MohenzCoLtd
Can any of the company-specific risk be diversified away by investing in both Hyundai Engineering and MohenzCoLtd 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 MohenzCoLtd 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 MohenzCoLtd, you can compare the effects of market volatilities on Hyundai Engineering and MohenzCoLtd 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 MohenzCoLtd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Engineering and MohenzCoLtd.
Diversification Opportunities for Hyundai Engineering and MohenzCoLtd
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hyundai and MohenzCoLtd is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Engineering Plastics and MohenzCoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MohenzCoLtd 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 MohenzCoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MohenzCoLtd has no effect on the direction of Hyundai Engineering i.e., Hyundai Engineering and MohenzCoLtd go up and down completely randomly.
Pair Corralation between Hyundai Engineering and MohenzCoLtd
Assuming the 90 days trading horizon Hyundai Engineering is expected to generate 3.85 times less return on investment than MohenzCoLtd. But when comparing it to its historical volatility, Hyundai Engineering Plastics is 1.8 times less risky than MohenzCoLtd. It trades about 0.04 of its potential returns per unit of risk. MohenzCoLtd is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 277,000 in MohenzCoLtd on December 5, 2024 and sell it today you would earn a total of 30,000 from holding MohenzCoLtd or generate 10.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hyundai Engineering Plastics vs. MohenzCoLtd
Performance |
Timeline |
Hyundai Engineering |
MohenzCoLtd |
Hyundai Engineering and MohenzCoLtd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai Engineering and MohenzCoLtd
The main advantage of trading using opposite Hyundai Engineering and MohenzCoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Engineering position performs unexpectedly, MohenzCoLtd 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 MohenzCoLtd will offset losses from the drop in MohenzCoLtd's long position.Hyundai Engineering vs. Seoul Semiconductor Co | Hyundai Engineering vs. Korean Reinsurance Co | Hyundai Engineering vs. Hana Financial | Hyundai Engineering vs. Genie Music |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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