Correlation Between Mulberry Group and Booking Holdings
Can any of the company-specific risk be diversified away by investing in both Mulberry Group 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 Mulberry Group and Booking Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mulberry Group PLC and Booking Holdings, you can compare the effects of market volatilities on Mulberry Group 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 Mulberry Group with a short position of Booking Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mulberry Group and Booking Holdings.
Diversification Opportunities for Mulberry Group and Booking Holdings
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mulberry and Booking is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Mulberry Group PLC and Booking Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Booking Holdings and Mulberry 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 Mulberry Group PLC 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 Mulberry Group i.e., Mulberry Group and Booking Holdings go up and down completely randomly.
Pair Corralation between Mulberry Group and Booking Holdings
Assuming the 90 days trading horizon Mulberry Group PLC is expected to under-perform the Booking Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Mulberry Group PLC is 4.02 times less risky than Booking Holdings. The stock trades about 0.0 of its potential returns per unit of risk. The Booking Holdings is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 408,717 in Booking Holdings on September 23, 2024 and sell it today you would earn a total of 98,783 from holding Booking Holdings or generate 24.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.48% |
Values | Daily Returns |
Mulberry Group PLC vs. Booking Holdings
Performance |
Timeline |
Mulberry Group PLC |
Booking Holdings |
Mulberry Group and Booking Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mulberry Group and Booking Holdings
The main advantage of trading using opposite Mulberry Group and Booking Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mulberry Group 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.Mulberry Group vs. Rockfire Resources plc | Mulberry Group vs. Tlou Energy | Mulberry Group vs. Ikigai Ventures | Mulberry Group vs. Falcon Oil Gas |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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