Correlation Between Vincom Retail and DIC Holdings
Can any of the company-specific risk be diversified away by investing in both Vincom Retail and DIC Holdings 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 Vincom Retail and DIC Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vincom Retail JSC and DIC Holdings Construction, you can compare the effects of market volatilities on Vincom Retail and DIC Holdings 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 Vincom Retail with a short position of DIC Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vincom Retail and DIC Holdings.
Diversification Opportunities for Vincom Retail and DIC Holdings
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Vincom and DIC is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Vincom Retail JSC and DIC Holdings Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DIC Holdings Construction and Vincom Retail 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 Vincom Retail JSC are associated (or correlated) with DIC Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DIC Holdings Construction has no effect on the direction of Vincom Retail i.e., Vincom Retail and DIC Holdings go up and down completely randomly.
Pair Corralation between Vincom Retail and DIC Holdings
Assuming the 90 days trading horizon Vincom Retail JSC is expected to under-perform the DIC Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Vincom Retail JSC is 2.12 times less risky than DIC Holdings. The stock trades about -0.05 of its potential returns per unit of risk. The DIC Holdings Construction is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 2,453,680 in DIC Holdings Construction on October 3, 2024 and sell it today you would lose (1,113,680) from holding DIC Holdings Construction or give up 45.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vincom Retail JSC vs. DIC Holdings Construction
Performance |
Timeline |
Vincom Retail JSC |
DIC Holdings Construction |
Vincom Retail and DIC Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vincom Retail and DIC Holdings
The main advantage of trading using opposite Vincom Retail and DIC Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vincom Retail position performs unexpectedly, DIC Holdings 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 DIC Holdings will offset losses from the drop in DIC Holdings' long position.Vincom Retail vs. Construction And Investment | Vincom Retail vs. Transport and Industry | Vincom Retail vs. 577 Investment Corp | Vincom Retail vs. Thanh Dat Investment |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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