Correlation Between Good Life and Universal Music
Can any of the company-specific risk be diversified away by investing in both Good Life and Universal Music 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 Good Life and Universal Music into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Good Life China and Universal Music Group, you can compare the effects of market volatilities on Good Life and Universal Music 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 Good Life with a short position of Universal Music. Check out your portfolio center. Please also check ongoing floating volatility patterns of Good Life and Universal Music.
Diversification Opportunities for Good Life and Universal Music
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Good and Universal is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Good Life China and Universal Music Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Music Group and Good Life 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 Good Life China are associated (or correlated) with Universal Music. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Music Group has no effect on the direction of Good Life i.e., Good Life and Universal Music go up and down completely randomly.
Pair Corralation between Good Life and Universal Music
Given the investment horizon of 90 days Good Life China is expected to generate 61.77 times more return on investment than Universal Music. However, Good Life is 61.77 times more volatile than Universal Music Group. It trades about 0.13 of its potential returns per unit of risk. Universal Music Group is currently generating about 0.09 per unit of risk. If you would invest 0.00 in Good Life China on December 21, 2024 and sell it today you would earn a total of 3,341 from holding Good Life China or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.19% |
Values | Daily Returns |
Good Life China vs. Universal Music Group
Performance |
Timeline |
Good Life China |
Universal Music Group |
Good Life and Universal Music Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Good Life and Universal Music
The main advantage of trading using opposite Good Life and Universal Music positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Good Life position performs unexpectedly, Universal Music 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 Universal Music will offset losses from the drop in Universal Music's long position.Good Life vs. Spyre Therapeutics | Good Life vs. Franklin Wireless Corp | Good Life vs. Artisan Partners Asset | Good Life vs. Ameriprise Financial |
Universal Music vs. Universal Media Group | Universal Music vs. Bollor SE | Universal Music vs. Reading International | Universal Music vs. Warner Music Group |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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