This module allows you to analyze existing cross correlation between EURONEXT BEL-20 and ISEQ. You can compare the effects of market volatilities on EURONEXT BEL-20 and ISEQ 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 EURONEXT BEL-20 with a short position of ISEQ. See also your portfolio center. Please also check ongoing floating volatility patterns of EURONEXT BEL-20 and ISEQ.
|Horizon||30 Days Login to change|
Predicted Return Density
EURONEXT BEL-20 vs. ISEQ
Given the investment horizon of 30 days, EURONEXT BEL-20 is expected to under-perform the ISEQ. But the index apears to be less risky and, when comparing its historical volatility, EURONEXT BEL-20 is 1.0 times less risky than ISEQ. The index trades about -0.28 of its potential returns per unit of risk. The ISEQ is currently generating about -0.16 of returns per unit of risk over similar time horizon. If you would invest 648,807 in ISEQ on May 17, 2019 and sell it today you would lose (37,164) from holding ISEQ or give up 5.73% of portfolio value over 30 days.
Pair Corralation between EURONEXT BEL-20 and ISEQ
|Time Period||2 Months [change]|
Diversification Opportunities for EURONEXT BEL-20 and ISEQ
Very poor diversification
Overlapping area represents the amount of risk that can be diversified away by holding EURONEXT BEL-20 and ISEQ in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on ISEQ and EURONEXT BEL-20 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 EURONEXT BEL-20 are associated (or correlated) with ISEQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ISEQ has no effect on the direction of EURONEXT BEL-20 i.e. EURONEXT BEL-20 and ISEQ go up and down completely randomly.
See also your portfolio center. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.