Correlation Between DB Financial and Lotte Non
Can any of the company-specific risk be diversified away by investing in both DB Financial 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 DB Financial and Lotte Non into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Financial Investment and Lotte Non Life Insurance, you can compare the effects of market volatilities on DB Financial 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 DB Financial with a short position of Lotte Non. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and Lotte Non.
Diversification Opportunities for DB Financial and Lotte Non
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between 016610 and Lotte is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment 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 DB Financial 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 Financial Investment 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 DB Financial i.e., DB Financial and Lotte Non go up and down completely randomly.
Pair Corralation between DB Financial and Lotte Non
Assuming the 90 days trading horizon DB Financial Investment is expected to generate 1.47 times more return on investment than Lotte Non. However, DB Financial is 1.47 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 -0.18 per unit of risk. If you would invest 493,500 in DB Financial Investment on September 1, 2024 and sell it today you would earn a total of 22,500 from holding DB Financial Investment or generate 4.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DB Financial Investment vs. Lotte Non Life Insurance
Performance |
Timeline |
DB Financial Investment |
Lotte Non Life |
DB Financial and Lotte Non Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Financial and Lotte Non
The main advantage of trading using opposite DB Financial and Lotte Non positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial 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.DB Financial vs. Samsung Electronics Co | DB Financial vs. Samsung Electronics Co | DB Financial vs. KB Financial Group | DB Financial vs. Shinhan Financial Group |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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