Correlation Between DB Insurance and LG Household
Can any of the company-specific risk be diversified away by investing in both DB Insurance and LG Household 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 DB Insurance and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Insurance Co and LG Household Healthcare, you can compare the effects of market volatilities on DB Insurance and LG Household 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 DB Insurance with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Insurance and LG Household.
Diversification Opportunities for DB Insurance and LG Household
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between 005830 and 051900 is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding DB Insurance Co and LG Household Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Household Healthcare and DB 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 DB Insurance Co are associated (or correlated) with LG Household. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Household Healthcare has no effect on the direction of DB Insurance i.e., DB Insurance and LG Household go up and down completely randomly.
Pair Corralation between DB Insurance and LG Household
Assuming the 90 days trading horizon DB Insurance Co is expected to generate 0.91 times more return on investment than LG Household. However, DB Insurance Co is 1.09 times less risky than LG Household. It trades about 0.07 of its potential returns per unit of risk. LG Household Healthcare is currently generating about -0.05 per unit of risk. If you would invest 5,442,493 in DB Insurance Co on August 25, 2024 and sell it today you would earn a total of 5,407,507 from holding DB Insurance Co or generate 99.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
DB Insurance Co vs. LG Household Healthcare
Performance |
| Timeline |
| DB Insurance |
| LG Household Healthcare |
DB Insurance and LG Household Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DB Insurance and LG Household
The main advantage of trading using opposite DB Insurance and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Insurance position performs unexpectedly, LG Household 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 LG Household will offset losses from the drop in LG Household's long position.| DB Insurance vs. LG Household Healthcare | DB Insurance vs. Aprogen Healthcare Games | DB Insurance vs. Youl Chon Chemical | DB Insurance vs. Hannong Chemicals |
| LG Household vs. AptaBio Therapeutics | LG Household vs. Daewoo SBI SPAC | LG Household vs. Dream Security co | LG Household 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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