Correlation Between Lotte Non and Hanjin Transportation
Can any of the company-specific risk be diversified away by investing in both Lotte Non and Hanjin Transportation 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 Hanjin Transportation 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 Hanjin Transportation Co, you can compare the effects of market volatilities on Lotte Non and Hanjin Transportation 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 Hanjin Transportation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and Hanjin Transportation.
Diversification Opportunities for Lotte Non and Hanjin Transportation
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and Hanjin is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and Hanjin Transportation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanjin Transportation 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 Hanjin Transportation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanjin Transportation has no effect on the direction of Lotte Non i.e., Lotte Non and Hanjin Transportation go up and down completely randomly.
Pair Corralation between Lotte Non and Hanjin Transportation
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to under-perform the Hanjin Transportation. In addition to that, Lotte Non is 2.3 times more volatile than Hanjin Transportation Co. It trades about -0.13 of its total potential returns per unit of risk. Hanjin Transportation Co is currently generating about -0.12 per unit of volatility. If you would invest 1,906,000 in Hanjin Transportation Co on August 28, 2024 and sell it today you would lose (60,000) from holding Hanjin Transportation Co or give up 3.15% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lotte Non Life Insurance vs. Hanjin Transportation Co
Performance |
| Timeline |
| Lotte Non Life |
| Hanjin Transportation |
Lotte Non and Hanjin Transportation Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Non and Hanjin Transportation
The main advantage of trading using opposite Lotte Non and Hanjin Transportation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, Hanjin Transportation 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 Hanjin Transportation will offset losses from the drop in Hanjin Transportation's long position.| Lotte Non vs. DONGKUK STEEL MILL | Lotte Non vs. J Steel Co | Lotte Non vs. Dongbu Steel Co | Lotte Non vs. GS Retail Co |
| Hanjin Transportation vs. AptaBio Therapeutics | Hanjin Transportation vs. Daewoo SBI SPAC | Hanjin Transportation vs. Dream Security co | Hanjin Transportation vs. Microfriend |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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