Correlation Between Korea Information and Lake Materials
Can any of the company-specific risk be diversified away by investing in both Korea Information and Lake Materials 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 Lake Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Information Communications and Lake Materials Co, you can compare the effects of market volatilities on Korea Information and Lake Materials 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 Lake Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Information and Lake Materials.
Diversification Opportunities for Korea Information and Lake Materials
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Korea and Lake is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Korea Information Communicatio and Lake Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lake Materials 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 Communications are associated (or correlated) with Lake Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lake Materials has no effect on the direction of Korea Information i.e., Korea Information and Lake Materials go up and down completely randomly.
Pair Corralation between Korea Information and Lake Materials
Assuming the 90 days trading horizon Korea Information is expected to generate 6.13 times less return on investment than Lake Materials. But when comparing it to its historical volatility, Korea Information Communications is 3.62 times less risky than Lake Materials. It trades about 0.1 of its potential returns per unit of risk. Lake Materials Co is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,111,000 in Lake Materials Co on October 20, 2024 and sell it today you would earn a total of 119,000 from holding Lake Materials Co or generate 10.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Information Communicatio vs. Lake Materials Co
Performance |
Timeline |
Korea Information |
Lake Materials |
Korea Information and Lake Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Information and Lake Materials
The main advantage of trading using opposite Korea Information and Lake Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Information position performs unexpectedly, Lake Materials 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 Lake Materials will offset losses from the drop in Lake Materials' long position.Korea Information vs. Korea New Network | Korea Information vs. Dong A Eltek | Korea Information vs. Dreamus Company | Korea Information vs. SK Bioscience Co |
Lake Materials vs. Samsung Electronics Co | Lake Materials vs. Samsung Electronics Co | Lake Materials vs. LG Energy Solution | Lake Materials vs. SK Hynix |
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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