Correlation Between Dongbu Insurance and V One
Can any of the company-specific risk be diversified away by investing in both Dongbu Insurance and V One 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 V One 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 V One Tech Co, you can compare the effects of market volatilities on Dongbu Insurance and V One 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 V One. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbu Insurance and V One.
Diversification Opportunities for Dongbu Insurance and V One
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dongbu and 251630 is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Dongbu Insurance Co and V One Tech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on V One Tech 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 V One. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of V One Tech has no effect on the direction of Dongbu Insurance i.e., Dongbu Insurance and V One go up and down completely randomly.
Pair Corralation between Dongbu Insurance and V One
Assuming the 90 days trading horizon Dongbu Insurance Co is expected to under-perform the V One. But the stock apears to be less risky and, when comparing its historical volatility, Dongbu Insurance Co is 1.37 times less risky than V One. The stock trades about -0.06 of its potential returns per unit of risk. The V One Tech Co is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 382,345 in V One Tech Co on December 24, 2024 and sell it today you would earn a total of 56,155 from holding V One Tech Co or generate 14.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbu Insurance Co vs. V One Tech Co
Performance |
Timeline |
Dongbu Insurance |
V One Tech |
Dongbu Insurance and V One Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbu Insurance and V One
The main advantage of trading using opposite Dongbu Insurance and V One positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbu Insurance position performs unexpectedly, V One 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 V One will offset losses from the drop in V One's long position.Dongbu Insurance vs. Hyundai Engineering Plastics | Dongbu Insurance vs. Alton Sports CoLtd | Dongbu Insurance vs. JYP Entertainment Corp | Dongbu Insurance vs. Union Materials Corp |
V One vs. SCI Information Service | V One vs. Dongil Metal Co | V One vs. Daishin Information Communications | V One vs. Shinsegae Information Communication |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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