Correlation Between Spotify Technology and General Electric
Can any of the company-specific risk be diversified away by investing in both Spotify Technology and General Electric 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 Spotify Technology and General Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spotify Technology SA and General Electric, you can compare the effects of market volatilities on Spotify Technology and General Electric 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 Spotify Technology with a short position of General Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spotify Technology and General Electric.
Diversification Opportunities for Spotify Technology and General Electric
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Spotify and General is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Spotify Technology SA and General Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Electric and Spotify Technology 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 Spotify Technology SA are associated (or correlated) with General Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Electric has no effect on the direction of Spotify Technology i.e., Spotify Technology and General Electric go up and down completely randomly.
Pair Corralation between Spotify Technology and General Electric
Assuming the 90 days trading horizon Spotify Technology SA is expected to generate 1.13 times more return on investment than General Electric. However, Spotify Technology is 1.13 times more volatile than General Electric. It trades about 0.28 of its potential returns per unit of risk. General Electric is currently generating about 0.02 per unit of risk. If you would invest 46,859 in Spotify Technology SA on September 17, 2024 and sell it today you would earn a total of 24,619 from holding Spotify Technology SA or generate 52.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Spotify Technology SA vs. General Electric
Performance |
Timeline |
Spotify Technology |
General Electric |
Spotify Technology and General Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spotify Technology and General Electric
The main advantage of trading using opposite Spotify Technology and General Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spotify Technology position performs unexpectedly, General Electric 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 General Electric will offset losses from the drop in General Electric's long position.Spotify Technology vs. Hospital Mater Dei | Spotify Technology vs. UnitedHealth Group Incorporated | Spotify Technology vs. Verizon Communications | Spotify Technology vs. MAHLE Metal Leve |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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