Correlation Between Spotify Technology and CATLIN GROUP
Can any of the company-specific risk be diversified away by investing in both Spotify Technology and CATLIN GROUP 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 CATLIN GROUP 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 CATLIN GROUP , you can compare the effects of market volatilities on Spotify Technology and CATLIN GROUP 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 CATLIN GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spotify Technology and CATLIN GROUP.
Diversification Opportunities for Spotify Technology and CATLIN GROUP
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Spotify and CATLIN is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Spotify Technology SA and CATLIN GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CATLIN GROUP 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 CATLIN GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CATLIN GROUP has no effect on the direction of Spotify Technology i.e., Spotify Technology and CATLIN GROUP go up and down completely randomly.
Pair Corralation between Spotify Technology and CATLIN GROUP
Assuming the 90 days trading horizon Spotify Technology SA is expected to generate 3.52 times more return on investment than CATLIN GROUP. However, Spotify Technology is 3.52 times more volatile than CATLIN GROUP . It trades about 0.11 of its potential returns per unit of risk. CATLIN GROUP is currently generating about -0.11 per unit of risk. If you would invest 43,280 in Spotify Technology SA on December 30, 2024 and sell it today you would earn a total of 8,950 from holding Spotify Technology SA or generate 20.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Spotify Technology SA vs. CATLIN GROUP
Performance |
Timeline |
Spotify Technology |
CATLIN GROUP |
Spotify Technology and CATLIN GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spotify Technology and CATLIN GROUP
The main advantage of trading using opposite Spotify Technology and CATLIN GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spotify Technology position performs unexpectedly, CATLIN GROUP 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 CATLIN GROUP will offset losses from the drop in CATLIN GROUP's long position.Spotify Technology vs. Critical Metals Plc | Spotify Technology vs. Nordic Semiconductor ASA | Spotify Technology vs. Young Cos Brewery | Spotify Technology vs. Blackrock World Mining |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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