Correlation Between Hyundai Mobis and Kyung-In Synthetic
Can any of the company-specific risk be diversified away by investing in both Hyundai Mobis and Kyung-In Synthetic 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 Mobis and Kyung-In Synthetic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Mobis and Kyung In Synthetic Corp, you can compare the effects of market volatilities on Hyundai Mobis and Kyung-In Synthetic 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 Mobis with a short position of Kyung-In Synthetic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Mobis and Kyung-In Synthetic.
Diversification Opportunities for Hyundai Mobis and Kyung-In Synthetic
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Hyundai and Kyung-In is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Mobis and Kyung In Synthetic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung In Synthetic and Hyundai Mobis 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 Mobis are associated (or correlated) with Kyung-In Synthetic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung In Synthetic has no effect on the direction of Hyundai Mobis i.e., Hyundai Mobis and Kyung-In Synthetic go up and down completely randomly.
Pair Corralation between Hyundai Mobis and Kyung-In Synthetic
Assuming the 90 days trading horizon Hyundai Mobis is expected to generate 1.19 times more return on investment than Kyung-In Synthetic. However, Hyundai Mobis is 1.19 times more volatile than Kyung In Synthetic Corp. It trades about 0.08 of its potential returns per unit of risk. Kyung In Synthetic Corp is currently generating about -0.12 per unit of risk. If you would invest 22,350,000 in Hyundai Mobis on September 23, 2024 and sell it today you would earn a total of 2,050,000 from holding Hyundai Mobis or generate 9.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hyundai Mobis vs. Kyung In Synthetic Corp
Performance |
Timeline |
Hyundai Mobis |
Kyung In Synthetic |
Hyundai Mobis and Kyung-In Synthetic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai Mobis and Kyung-In Synthetic
The main advantage of trading using opposite Hyundai Mobis and Kyung-In Synthetic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Mobis position performs unexpectedly, Kyung-In Synthetic 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 Kyung-In Synthetic will offset losses from the drop in Kyung-In Synthetic's long position.Hyundai Mobis vs. Woori Technology Investment | Hyundai Mobis vs. Samsung Card Co | Hyundai Mobis vs. Korea Real Estate | Hyundai Mobis vs. CHOROKBAEM PANY Co |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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