Correlation Between DGB Group and Inpost SA
Can any of the company-specific risk be diversified away by investing in both DGB Group and Inpost SA 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 DGB Group and Inpost SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DGB Group NV and Inpost SA, you can compare the effects of market volatilities on DGB Group and Inpost SA 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 DGB Group with a short position of Inpost SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of DGB Group and Inpost SA.
Diversification Opportunities for DGB Group and Inpost SA
Pay attention - limited upside
The 3 months correlation between DGB and Inpost is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding DGB Group NV and Inpost SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inpost SA and DGB Group 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 DGB Group NV are associated (or correlated) with Inpost SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inpost SA has no effect on the direction of DGB Group i.e., DGB Group and Inpost SA go up and down completely randomly.
Pair Corralation between DGB Group and Inpost SA
Assuming the 90 days trading horizon DGB Group is expected to generate 2.21 times less return on investment than Inpost SA. In addition to that, DGB Group is 2.23 times more volatile than Inpost SA. It trades about 0.02 of its total potential returns per unit of risk. Inpost SA is currently generating about 0.08 per unit of volatility. If you would invest 861.00 in Inpost SA on October 7, 2024 and sell it today you would earn a total of 801.00 from holding Inpost SA or generate 93.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DGB Group NV vs. Inpost SA
Performance |
Timeline |
DGB Group NV |
Inpost SA |
DGB Group and Inpost SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DGB Group and Inpost SA
The main advantage of trading using opposite DGB Group and Inpost SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DGB Group position performs unexpectedly, Inpost SA 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 Inpost SA will offset losses from the drop in Inpost SA's long position.The idea behind DGB Group NV and Inpost SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Inpost SA vs. PostNL NV | Inpost SA vs. Koninklijke Heijmans NV | Inpost SA vs. OCI NV | Inpost SA vs. Koninklijke Vopak NV |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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