Correlation Between Mulberry Group and Spotify Technology
Can any of the company-specific risk be diversified away by investing in both Mulberry Group and Spotify Technology 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 Spotify Technology 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 Spotify Technology SA, you can compare the effects of market volatilities on Mulberry Group and Spotify Technology 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 Spotify Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mulberry Group and Spotify Technology.
Diversification Opportunities for Mulberry Group and Spotify Technology
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Mulberry and Spotify is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Mulberry Group PLC and Spotify Technology SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spotify Technology 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 Spotify Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spotify Technology has no effect on the direction of Mulberry Group i.e., Mulberry Group and Spotify Technology go up and down completely randomly.
Pair Corralation between Mulberry Group and Spotify Technology
Assuming the 90 days trading horizon Mulberry Group PLC is expected to generate 1.54 times more return on investment than Spotify Technology. However, Mulberry Group is 1.54 times more volatile than Spotify Technology SA. It trades about 0.19 of its potential returns per unit of risk. Spotify Technology SA is currently generating about -0.12 per unit of risk. If you would invest 9,850 in Mulberry Group PLC on October 3, 2024 and sell it today you would earn a total of 1,000.00 from holding Mulberry Group PLC or generate 10.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mulberry Group PLC vs. Spotify Technology SA
Performance |
Timeline |
Mulberry Group PLC |
Spotify Technology |
Mulberry Group and Spotify Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mulberry Group and Spotify Technology
The main advantage of trading using opposite Mulberry Group and Spotify Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mulberry Group position performs unexpectedly, Spotify Technology 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 Spotify Technology will offset losses from the drop in Spotify Technology's long position.Mulberry Group vs. SupplyMe Capital PLC | Mulberry Group vs. SM Energy Co | Mulberry Group vs. FuelCell Energy | Mulberry Group vs. Grand Vision Media |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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