Correlation Between Lotte Non and Cheryong Electric
Can any of the company-specific risk be diversified away by investing in both Lotte Non and Cheryong Electric 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 Lotte Non and Cheryong Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Non Life Insurance and Cheryong Electric CoLtd, you can compare the effects of market volatilities on Lotte Non and Cheryong Electric 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 Lotte Non with a short position of Cheryong Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and Cheryong Electric.
Diversification Opportunities for Lotte Non and Cheryong Electric
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lotte and Cheryong is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and Cheryong Electric CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cheryong Electric CoLtd and Lotte Non 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 Lotte Non Life Insurance are associated (or correlated) with Cheryong Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cheryong Electric CoLtd has no effect on the direction of Lotte Non i.e., Lotte Non and Cheryong Electric go up and down completely randomly.
Pair Corralation between Lotte Non and Cheryong Electric
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to under-perform the Cheryong Electric. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Non Life Insurance is 1.72 times less risky than Cheryong Electric. The stock trades about -0.11 of its potential returns per unit of risk. The Cheryong Electric CoLtd is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 5,481,732 in Cheryong Electric CoLtd on October 7, 2024 and sell it today you would lose (676,732) from holding Cheryong Electric CoLtd or give up 12.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Non Life Insurance vs. Cheryong Electric CoLtd
Performance |
Timeline |
Lotte Non Life |
Cheryong Electric CoLtd |
Lotte Non and Cheryong Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Non and Cheryong Electric
The main advantage of trading using opposite Lotte Non and Cheryong Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, Cheryong Electric 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 Cheryong Electric will offset losses from the drop in Cheryong Electric's long position.Lotte Non vs. LG Household Healthcare | Lotte Non vs. Automobile Pc | Lotte Non vs. Mobile Appliance | Lotte Non vs. Shin Steel 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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