Correlation Between Booking Holdings and Global Net
Can any of the company-specific risk be diversified away by investing in both Booking Holdings and Global Net 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 Booking Holdings and Global Net into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Booking Holdings and Global Net Lease, you can compare the effects of market volatilities on Booking Holdings and Global Net 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 Booking Holdings with a short position of Global Net. Check out your portfolio center. Please also check ongoing floating volatility patterns of Booking Holdings and Global Net.
Diversification Opportunities for Booking Holdings and Global Net
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Booking and Global is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Booking Holdings and Global Net Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Net Lease and Booking Holdings 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 Booking Holdings are associated (or correlated) with Global Net. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Net Lease has no effect on the direction of Booking Holdings i.e., Booking Holdings and Global Net go up and down completely randomly.
Pair Corralation between Booking Holdings and Global Net
Assuming the 90 days trading horizon Booking Holdings is expected to generate 1.17 times more return on investment than Global Net. However, Booking Holdings is 1.17 times more volatile than Global Net Lease. It trades about 0.04 of its potential returns per unit of risk. Global Net Lease is currently generating about 0.01 per unit of risk. If you would invest 245,023 in Booking Holdings on October 26, 2024 and sell it today you would earn a total of 227,589 from holding Booking Holdings or generate 92.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Booking Holdings vs. Global Net Lease
Performance |
Timeline |
Booking Holdings |
Global Net Lease |
Booking Holdings and Global Net Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Booking Holdings and Global Net
The main advantage of trading using opposite Booking Holdings and Global Net positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Booking Holdings position performs unexpectedly, Global Net 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 Global Net will offset losses from the drop in Global Net's long position.Booking Holdings vs. Air Products Chemicals | Booking Holdings vs. Gamma Communications PLC | Booking Holdings vs. Vienna Insurance Group | Booking Holdings vs. mobilezone holding AG |
Global Net vs. Ecclesiastical Insurance Office | Global Net vs. Amedeo Air Four | Global Net vs. Air Products Chemicals | Global Net vs. Ondine Biomedical |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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