Correlation Between Lotte Fine and Lotte Non-Life
Can any of the company-specific risk be diversified away by investing in both Lotte Fine and Lotte Non-Life 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 Fine and Lotte Non-Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Fine Chemical and Lotte Non Life Insurance, you can compare the effects of market volatilities on Lotte Fine and Lotte Non-Life 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 Fine with a short position of Lotte Non-Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Fine and Lotte Non-Life.
Diversification Opportunities for Lotte Fine and Lotte Non-Life
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lotte and Lotte is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Fine Chemical and Lotte Non Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Non Life and Lotte Fine 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 Fine Chemical are associated (or correlated) with Lotte Non-Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Non Life has no effect on the direction of Lotte Fine i.e., Lotte Fine and Lotte Non-Life go up and down completely randomly.
Pair Corralation between Lotte Fine and Lotte Non-Life
Assuming the 90 days trading horizon Lotte Fine Chemical is expected to generate 1.1 times more return on investment than Lotte Non-Life. However, Lotte Fine is 1.1 times more volatile than Lotte Non Life Insurance. It trades about 0.17 of its potential returns per unit of risk. Lotte Non Life Insurance is currently generating about -0.04 per unit of risk. If you would invest 3,575,000 in Lotte Fine Chemical on September 24, 2024 and sell it today you would earn a total of 380,000 from holding Lotte Fine Chemical or generate 10.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Fine Chemical vs. Lotte Non Life Insurance
Performance |
Timeline |
Lotte Fine Chemical |
Lotte Non Life |
Lotte Fine and Lotte Non-Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Fine and Lotte Non-Life
The main advantage of trading using opposite Lotte Fine and Lotte Non-Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Fine position performs unexpectedly, Lotte Non-Life 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 Lotte Non-Life will offset losses from the drop in Lotte Non-Life's long position.Lotte Fine vs. LG Chemicals | Lotte Fine vs. POSCO Holdings | Lotte Fine vs. Hanwha Solutions | Lotte Fine vs. Lotte Chemical Corp |
Lotte Non-Life vs. Sewoon Medical Co | Lotte Non-Life vs. Youngbo Chemical Co | Lotte Non-Life vs. Lotte Fine Chemical | Lotte Non-Life vs. Lotte Data Communication |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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