Correlation Between Samlip General and DB Insurance
Can any of the company-specific risk be diversified away by investing in both Samlip General and DB Insurance 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 Samlip General and DB Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samlip General Foods and DB Insurance Co, you can compare the effects of market volatilities on Samlip General and DB Insurance 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 Samlip General with a short position of DB Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samlip General and DB Insurance.
Diversification Opportunities for Samlip General and DB Insurance
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samlip and 005830 is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Samlip General Foods and DB Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Insurance and Samlip General 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 Samlip General Foods are associated (or correlated) with DB Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Insurance has no effect on the direction of Samlip General i.e., Samlip General and DB Insurance go up and down completely randomly.
Pair Corralation between Samlip General and DB Insurance
Assuming the 90 days trading horizon Samlip General Foods is expected to under-perform the DB Insurance. But the stock apears to be less risky and, when comparing its historical volatility, Samlip General Foods is 1.36 times less risky than DB Insurance. The stock trades about -0.12 of its potential returns per unit of risk. The DB Insurance Co is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 10,930,000 in DB Insurance Co on September 1, 2024 and sell it today you would lose (10,000) from holding DB Insurance Co or give up 0.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samlip General Foods vs. DB Insurance Co
Performance |
Timeline |
Samlip General Foods |
DB Insurance |
Samlip General and DB Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samlip General and DB Insurance
The main advantage of trading using opposite Samlip General and DB Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samlip General position performs unexpectedly, DB Insurance 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 DB Insurance will offset losses from the drop in DB Insurance's long position.Samlip General vs. AptaBio Therapeutics | Samlip General vs. Daewoo SBI SPAC | Samlip General vs. Dream Security co | Samlip General vs. Microfriend |
DB Insurance vs. Samsung Electronics Co | DB Insurance vs. Samsung Electronics Co | DB Insurance vs. KB Financial Group | DB Insurance vs. Shinhan Financial Group |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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