Correlation Between Booking Holdings and SL Private
Can any of the company-specific risk be diversified away by investing in both Booking Holdings and SL Private 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 SL Private into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Booking Holdings and SL Private Equity, you can compare the effects of market volatilities on Booking Holdings and SL Private 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 SL Private. Check out your portfolio center. Please also check ongoing floating volatility patterns of Booking Holdings and SL Private.
Diversification Opportunities for Booking Holdings and SL Private
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Booking and SLPE is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Booking Holdings and SL Private Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SL Private Equity 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 SL Private. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SL Private Equity has no effect on the direction of Booking Holdings i.e., Booking Holdings and SL Private go up and down completely randomly.
Pair Corralation between Booking Holdings and SL Private
Assuming the 90 days trading horizon Booking Holdings is expected to generate 8.84 times more return on investment than SL Private. However, Booking Holdings is 8.84 times more volatile than SL Private Equity. It trades about 0.06 of its potential returns per unit of risk. SL Private Equity is currently generating about 0.01 per unit of risk. If you would invest 399,229 in Booking Holdings on September 23, 2024 and sell it today you would earn a total of 116,655 from holding Booking Holdings or generate 29.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Booking Holdings vs. SL Private Equity
Performance |
Timeline |
Booking Holdings |
SL Private Equity |
Booking Holdings and SL Private Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Booking Holdings and SL Private
The main advantage of trading using opposite Booking Holdings and SL Private positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Booking Holdings position performs unexpectedly, SL Private 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 SL Private will offset losses from the drop in SL Private's long position.Booking Holdings vs. Datagroup SE | Booking Holdings vs. Gear4music Plc | Booking Holdings vs. BE Semiconductor Industries | Booking Holdings vs. Universal Music Group |
SL Private vs. Uniper SE | SL Private vs. Mulberry Group PLC | SL Private vs. London Security Plc | SL Private vs. Triad Group PLC |
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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