Correlation Between Lotte Fine and Samyung Trading
Can any of the company-specific risk be diversified away by investing in both Lotte Fine and Samyung Trading 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 Samyung Trading 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 Samyung Trading Co, you can compare the effects of market volatilities on Lotte Fine and Samyung Trading 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 Samyung Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Fine and Samyung Trading.
Diversification Opportunities for Lotte Fine and Samyung Trading
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lotte and Samyung is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Fine Chemical and Samyung Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyung Trading 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 Samyung Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyung Trading has no effect on the direction of Lotte Fine i.e., Lotte Fine and Samyung Trading go up and down completely randomly.
Pair Corralation between Lotte Fine and Samyung Trading
Assuming the 90 days trading horizon Lotte Fine Chemical is expected to generate 2.29 times more return on investment than Samyung Trading. However, Lotte Fine is 2.29 times more volatile than Samyung Trading Co. It trades about 0.24 of its potential returns per unit of risk. Samyung Trading Co is currently generating about 0.01 per unit of risk. If you would invest 3,430,000 in Lotte Fine Chemical on October 1, 2024 and sell it today you would earn a total of 485,000 from holding Lotte Fine Chemical or generate 14.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Fine Chemical vs. Samyung Trading Co
Performance |
Timeline |
Lotte Fine Chemical |
Samyung Trading |
Lotte Fine and Samyung Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Fine and Samyung Trading
The main advantage of trading using opposite Lotte Fine and Samyung Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Fine position performs unexpectedly, Samyung Trading 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 Samyung Trading will offset losses from the drop in Samyung Trading's long position.Lotte Fine vs. LG Chemicals | Lotte Fine vs. POSCO Holdings | Lotte Fine vs. Hanwha Solutions | Lotte Fine vs. Lotte Chemical Corp |
Samyung Trading vs. Jinro Distillers Co | Samyung Trading vs. KTB Investment Securities | Samyung Trading vs. Hyundai Green Food | Samyung Trading 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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