Correlation Between Organic Special and DB Insurance
Can any of the company-specific risk be diversified away by investing in both Organic Special 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 Organic Special and DB Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Organic Special Pet and DB Insurance Co, you can compare the effects of market volatilities on Organic Special 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 Organic Special with a short position of DB Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Organic Special and DB Insurance.
Diversification Opportunities for Organic Special and DB Insurance
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Organic and 005830 is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Organic Special Pet and DB Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Insurance and Organic Special 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 Organic Special Pet 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 Organic Special i.e., Organic Special and DB Insurance go up and down completely randomly.
Pair Corralation between Organic Special and DB Insurance
Assuming the 90 days trading horizon Organic Special Pet is expected to under-perform the DB Insurance. But the stock apears to be less risky and, when comparing its historical volatility, Organic Special Pet is 1.06 times less risky than DB Insurance. The stock trades about -0.06 of its potential returns per unit of risk. The DB Insurance Co is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 11,260,000 in DB Insurance Co on September 13, 2024 and sell it today you would lose (720,000) from holding DB Insurance Co or give up 6.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Organic Special Pet vs. DB Insurance Co
Performance |
Timeline |
Organic Special Pet |
DB Insurance |
Organic Special and DB Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Organic Special and DB Insurance
The main advantage of trading using opposite Organic Special and DB Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Organic Special 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.Organic Special vs. Samsung Electronics Co | Organic Special vs. Samsung Electronics Co | Organic Special vs. LG Energy Solution | Organic Special vs. SK Hynix |
DB Insurance vs. KB Financial Group | DB Insurance vs. Shinhan Financial Group | DB Insurance vs. Hana Financial | DB Insurance vs. Woori 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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