Correlation Between Insung Information and Hyundai Home
Can any of the company-specific risk be diversified away by investing in both Insung Information and Hyundai Home 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 Insung Information and Hyundai Home into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Insung Information Co and Hyundai Home Shopping, you can compare the effects of market volatilities on Insung Information and Hyundai Home 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 Insung Information with a short position of Hyundai Home. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insung Information and Hyundai Home.
Diversification Opportunities for Insung Information and Hyundai Home
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Insung and Hyundai is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Insung Information Co and Hyundai Home Shopping in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Home Shopping and Insung Information 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 Insung Information Co are associated (or correlated) with Hyundai Home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Home Shopping has no effect on the direction of Insung Information i.e., Insung Information and Hyundai Home go up and down completely randomly.
Pair Corralation between Insung Information and Hyundai Home
Assuming the 90 days trading horizon Insung Information Co is expected to generate 1.85 times more return on investment than Hyundai Home. However, Insung Information is 1.85 times more volatile than Hyundai Home Shopping. It trades about 0.3 of its potential returns per unit of risk. Hyundai Home Shopping is currently generating about 0.13 per unit of risk. If you would invest 161,000 in Insung Information Co on October 10, 2024 and sell it today you would earn a total of 30,400 from holding Insung Information Co or generate 18.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Insung Information Co vs. Hyundai Home Shopping
Performance |
Timeline |
Insung Information |
Hyundai Home Shopping |
Insung Information and Hyundai Home Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Insung Information and Hyundai Home
The main advantage of trading using opposite Insung Information and Hyundai Home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insung Information position performs unexpectedly, Hyundai Home 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 Hyundai Home will offset losses from the drop in Hyundai Home's long position.Insung Information vs. Sungdo Engineering Construction | Insung Information vs. Hyundai Industrial Co | Insung Information vs. Formetal Co | Insung Information vs. Eagon Industrial 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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