Correlation Between Datagroup and Booking Holdings
Can any of the company-specific risk be diversified away by investing in both Datagroup and Booking 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 Datagroup and Booking Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Datagroup SE and Booking Holdings, you can compare the effects of market volatilities on Datagroup and Booking 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 Datagroup with a short position of Booking Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and Booking Holdings.
Diversification Opportunities for Datagroup and Booking Holdings
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Datagroup and Booking is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and Booking Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Booking Holdings and Datagroup 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 Datagroup SE are associated (or correlated) with Booking Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Booking Holdings has no effect on the direction of Datagroup i.e., Datagroup and Booking Holdings go up and down completely randomly.
Pair Corralation between Datagroup and Booking Holdings
Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the Booking Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Datagroup SE is 3.19 times less risky than Booking Holdings. The stock trades about -0.02 of its potential returns per unit of risk. The Booking Holdings is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 226,408 in Booking Holdings on October 10, 2024 and sell it today you would earn a total of 253,939 from holding Booking Holdings or generate 112.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.8% |
Values | Daily Returns |
Datagroup SE vs. Booking Holdings
Performance |
Timeline |
Datagroup SE |
Booking Holdings |
Datagroup and Booking Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Datagroup and Booking Holdings
The main advantage of trading using opposite Datagroup and Booking Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, Booking 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 Booking Holdings will offset losses from the drop in Booking Holdings' long position.Datagroup vs. Walmart | Datagroup vs. BYD Co | Datagroup vs. Volkswagen AG | Datagroup vs. Volkswagen AG Non Vtg |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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