Correlation Between Dongbu Insurance and Lotte Non
Can any of the company-specific risk be diversified away by investing in both Dongbu Insurance and Lotte Non 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 Dongbu Insurance and Lotte Non into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbu Insurance Co and Lotte Non Life Insurance, you can compare the effects of market volatilities on Dongbu Insurance and Lotte Non 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 Dongbu Insurance with a short position of Lotte Non. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbu Insurance and Lotte Non.
Diversification Opportunities for Dongbu Insurance and Lotte Non
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongbu and Lotte is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Dongbu Insurance Co 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 Dongbu Insurance 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 Dongbu Insurance Co are associated (or correlated) with Lotte Non. 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 Dongbu Insurance i.e., Dongbu Insurance and Lotte Non go up and down completely randomly.
Pair Corralation between Dongbu Insurance and Lotte Non
Assuming the 90 days trading horizon Dongbu Insurance Co is expected to generate 1.11 times more return on investment than Lotte Non. However, Dongbu Insurance is 1.11 times more volatile than Lotte Non Life Insurance. It trades about -0.04 of its potential returns per unit of risk. Lotte Non Life Insurance is currently generating about -0.19 per unit of risk. If you would invest 11,750,000 in Dongbu Insurance Co on August 29, 2024 and sell it today you would lose (1,000,000) from holding Dongbu Insurance Co or give up 8.51% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dongbu Insurance Co vs. Lotte Non Life Insurance
Performance |
| Timeline |
| Dongbu Insurance |
| Lotte Non Life |
Dongbu Insurance and Lotte Non Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dongbu Insurance and Lotte Non
The main advantage of trading using opposite Dongbu Insurance and Lotte Non positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbu Insurance position performs unexpectedly, Lotte Non 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 will offset losses from the drop in Lotte Non's long position.| Dongbu Insurance vs. AptaBio Therapeutics | Dongbu Insurance vs. Daewoo SBI SPAC | Dongbu Insurance vs. Dream Security co | Dongbu Insurance vs. Microfriend |
| Lotte Non vs. AptaBio Therapeutics | Lotte Non vs. Daewoo SBI SPAC | Lotte Non vs. Dream Security co | Lotte Non 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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