Correlation Between MEDIPOST and Hyundai
Can any of the company-specific risk be diversified away by investing in both MEDIPOST and Hyundai 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 MEDIPOST and Hyundai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MEDIPOST Co and Hyundai Motor Co, you can compare the effects of market volatilities on MEDIPOST and Hyundai 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 MEDIPOST with a short position of Hyundai. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEDIPOST and Hyundai.
Diversification Opportunities for MEDIPOST and Hyundai
Pay attention - limited upside
The 3 months correlation between MEDIPOST and Hyundai is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding MEDIPOST Co and Hyundai Motor Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Motor and MEDIPOST 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 MEDIPOST Co are associated (or correlated) with Hyundai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Motor has no effect on the direction of MEDIPOST i.e., MEDIPOST and Hyundai go up and down completely randomly.
Pair Corralation between MEDIPOST and Hyundai
Assuming the 90 days trading horizon MEDIPOST Co is expected to generate 5.29 times more return on investment than Hyundai. However, MEDIPOST is 5.29 times more volatile than Hyundai Motor Co. It trades about 0.07 of its potential returns per unit of risk. Hyundai Motor Co is currently generating about -0.02 per unit of risk. If you would invest 973,000 in MEDIPOST Co on October 1, 2024 and sell it today you would earn a total of 53,000 from holding MEDIPOST Co or generate 5.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MEDIPOST Co vs. Hyundai Motor Co
Performance |
Timeline |
MEDIPOST |
Hyundai Motor |
MEDIPOST and Hyundai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MEDIPOST and Hyundai
The main advantage of trading using opposite MEDIPOST and Hyundai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEDIPOST position performs unexpectedly, Hyundai 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 will offset losses from the drop in Hyundai's long position.The idea behind MEDIPOST Co and Hyundai Motor Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Hyundai vs. ITM Semiconductor Co | Hyundai vs. Daol Investment Securities | Hyundai vs. Samyung Trading Co | Hyundai vs. Sangsangin Investment Securities |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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