Correlation Between Korea Alcohol and Choong Ang
Can any of the company-specific risk be diversified away by investing in both Korea Alcohol and Choong Ang 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 Korea Alcohol and Choong Ang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Alcohol Industrial and Choong Ang Vaccine, you can compare the effects of market volatilities on Korea Alcohol and Choong Ang 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 Korea Alcohol with a short position of Choong Ang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Alcohol and Choong Ang.
Diversification Opportunities for Korea Alcohol and Choong Ang
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Korea and Choong is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Korea Alcohol Industrial and Choong Ang Vaccine in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Choong Ang Vaccine and Korea Alcohol 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 Korea Alcohol Industrial are associated (or correlated) with Choong Ang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Choong Ang Vaccine has no effect on the direction of Korea Alcohol i.e., Korea Alcohol and Choong Ang go up and down completely randomly.
Pair Corralation between Korea Alcohol and Choong Ang
Assuming the 90 days trading horizon Korea Alcohol Industrial is expected to generate 0.6 times more return on investment than Choong Ang. However, Korea Alcohol Industrial is 1.66 times less risky than Choong Ang. It trades about 0.76 of its potential returns per unit of risk. Choong Ang Vaccine is currently generating about 0.31 per unit of risk. If you would invest 727,391 in Korea Alcohol Industrial on October 8, 2024 and sell it today you would earn a total of 110,609 from holding Korea Alcohol Industrial or generate 15.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Alcohol Industrial vs. Choong Ang Vaccine
Performance |
Timeline |
Korea Alcohol Industrial |
Choong Ang Vaccine |
Korea Alcohol and Choong Ang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Alcohol and Choong Ang
The main advantage of trading using opposite Korea Alcohol and Choong Ang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Alcohol position performs unexpectedly, Choong Ang 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 Choong Ang will offset losses from the drop in Choong Ang's long position.Korea Alcohol vs. LG Chemicals | Korea Alcohol vs. POSCO Holdings | Korea Alcohol vs. Hanwha Solutions | Korea Alcohol vs. Lotte Chemical Corp |
Choong Ang vs. Ssangyong Information Communication | Choong Ang vs. DSC Investment | Choong Ang vs. Mobileleader CoLtd | Choong Ang vs. Woori Technology Investment |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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