- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between NYSE and EURONEXT BEL-20. You can compare the effects of market volatilities on NYSE and EURONEXT BEL-20 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 NYSE with a short position of EURONEXT BEL-20. See also your portfolio center. Please also check ongoing floating volatility patterns of NYSE and EURONEXT BEL-20.
|Horizon||30 Days Login to change|
Predicted Return Density
NYSE vs. EURONEXT BEL-20
Given the investment horizon of 30 days, NYSE is expected to generate 1.46 times more return on investment than EURONEXT BEL-20. However, NYSE is 1.46 times more volatile than EURONEXT BEL-20. It trades about 0.18 of its potential returns per unit of risk. EURONEXT BEL-20 is currently generating about 0.17 per unit of risk. If you would invest 1,137,184 in NYSE on January 18, 2019 and sell it today you would earn a total of 123,163 from holding NYSE or generate 10.83% return on investment over 30 days.
Pair Corralation between NYSE and EURONEXT BEL-20
|Time Period||2 Months [change]|
Diversification Opportunities for NYSE and EURONEXT BEL-20
Almost no diversification
Overlapping area represents the amount of risk that can be diversified away by holding NYSE and EURONEXT BEL-20 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on EURONEXT BEL-20 and NYSE 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 NYSE are associated (or correlated) with EURONEXT BEL-20. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EURONEXT BEL-20 has no effect on the direction of NYSE i.e. NYSE and EURONEXT BEL-20 go up and down completely randomly.