Correlation Between Lotte Non and Dongbang Transport
Can any of the company-specific risk be diversified away by investing in both Lotte Non and Dongbang Transport 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 Dongbang Transport 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 Dongbang Transport Logistics, you can compare the effects of market volatilities on Lotte Non and Dongbang Transport 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 Dongbang Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and Dongbang Transport.
Diversification Opportunities for Lotte Non and Dongbang Transport
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Lotte and Dongbang is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and Dongbang Transport Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Transport 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 Dongbang Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Transport has no effect on the direction of Lotte Non i.e., Lotte Non and Dongbang Transport go up and down completely randomly.
Pair Corralation between Lotte Non and Dongbang Transport
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to under-perform the Dongbang Transport. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Non Life Insurance is 1.29 times less risky than Dongbang Transport. The stock trades about -0.15 of its potential returns per unit of risk. The Dongbang Transport Logistics is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 217,000 in Dongbang Transport Logistics on December 25, 2024 and sell it today you would earn a total of 6,000 from holding Dongbang Transport Logistics or generate 2.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.25% |
Values | Daily Returns |
Lotte Non Life Insurance vs. Dongbang Transport Logistics
Performance |
Timeline |
Lotte Non Life |
Dongbang Transport |
Lotte Non and Dongbang Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Non and Dongbang Transport
The main advantage of trading using opposite Lotte Non and Dongbang Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, Dongbang Transport 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 Dongbang Transport will offset losses from the drop in Dongbang Transport's long position.Lotte Non vs. Kumho Petro Chemical | Lotte Non vs. Seers Technology | Lotte Non vs. ISU Chemical Co | Lotte Non vs. AeroSpace Technology of |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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