Correlation Between Intercontinental and Euronext
Can any of the company-specific risk be diversified away by investing in both Intercontinental and Euronext 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 Intercontinental and Euronext into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intercontinental Exchange and Euronext NV, you can compare the effects of market volatilities on Intercontinental and Euronext 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 Intercontinental with a short position of Euronext. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intercontinental and Euronext.
Diversification Opportunities for Intercontinental and Euronext
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Intercontinental and Euronext is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Intercontinental Exchange and Euronext NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Euronext NV and Intercontinental 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 Intercontinental Exchange are associated (or correlated) with Euronext. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Euronext NV has no effect on the direction of Intercontinental i.e., Intercontinental and Euronext go up and down completely randomly.
Pair Corralation between Intercontinental and Euronext
Considering the 90-day investment horizon Intercontinental Exchange is expected to under-perform the Euronext. In addition to that, Intercontinental is 1.01 times more volatile than Euronext NV. It trades about 0.0 of its total potential returns per unit of risk. Euronext NV is currently generating about 0.11 per unit of volatility. If you would invest 9,750 in Euronext NV on October 10, 2024 and sell it today you would earn a total of 1,350 from holding Euronext NV or generate 13.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Intercontinental Exchange vs. Euronext NV
Performance |
Timeline |
Intercontinental Exchange |
Euronext NV |
Intercontinental and Euronext Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Intercontinental and Euronext
The main advantage of trading using opposite Intercontinental and Euronext positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intercontinental position performs unexpectedly, Euronext 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 Euronext will offset losses from the drop in Euronext's long position.Intercontinental vs. Nasdaq Inc | Intercontinental vs. SP Global | Intercontinental vs. Moodys | Intercontinental vs. FactSet Research Systems |
Euronext vs. Singapore Exchange Limited | Euronext vs. Japan Exchange Group | Euronext vs. TMX Group Limited | Euronext vs. Otc Markets 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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