Correlation Between Korea Information and LG Electronics
Can any of the company-specific risk be diversified away by investing in both Korea Information and LG Electronics 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 Information and LG Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Information Engineering and LG Electronics Pfd, you can compare the effects of market volatilities on Korea Information and LG Electronics 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 Information with a short position of LG Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Information and LG Electronics.
Diversification Opportunities for Korea Information and LG Electronics
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Korea and 066575 is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Korea Information Engineering and LG Electronics Pfd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Electronics Pfd and Korea 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 Korea Information Engineering are associated (or correlated) with LG Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Electronics Pfd has no effect on the direction of Korea Information i.e., Korea Information and LG Electronics go up and down completely randomly.
Pair Corralation between Korea Information and LG Electronics
Assuming the 90 days trading horizon Korea Information Engineering is expected to generate 1.48 times more return on investment than LG Electronics. However, Korea Information is 1.48 times more volatile than LG Electronics Pfd. It trades about -0.01 of its potential returns per unit of risk. LG Electronics Pfd is currently generating about -0.11 per unit of risk. If you would invest 268,000 in Korea Information Engineering on October 25, 2024 and sell it today you would lose (10,000) from holding Korea Information Engineering or give up 3.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Information Engineering vs. LG Electronics Pfd
Performance |
Timeline |
Korea Information |
LG Electronics Pfd |
Korea Information and LG Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Information and LG Electronics
The main advantage of trading using opposite Korea Information and LG Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Information position performs unexpectedly, LG Electronics 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 LG Electronics will offset losses from the drop in LG Electronics' long position.Korea Information vs. Samsung Electronics Co | Korea Information vs. Samsung Electronics Co | Korea Information vs. SK Hynix | Korea Information vs. HMM 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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