This module allows you to analyze existing cross correlation between Visa and NASDAQ UK. You can compare the effects of market volatilities on Visa and NASDAQ UK 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 Visa with a short position of NASDAQ UK. See also your portfolio center. Please also check ongoing floating volatility patterns of Visa and NASDAQ UK.
|Horizon||30 Days Login to change|
Predicted Return Density
Visa Inc vs. NASDAQ UK
Taking into account the 30 trading days horizon, Visa is expected to generate 1.82 times more return on investment than NASDAQ UK. However, Visa is 1.82 times more volatile than NASDAQ UK. It trades about 0.07 of its potential returns per unit of risk. NASDAQ UK is currently generating about -0.25 per unit of risk. If you would invest 17,344 in Visa on July 21, 2019 and sell it today you would earn a total of 630.00 from holding Visa or generate 3.63% return on investment over 30 days.
Pair Corralation between Visa and NASDAQ UK
|Time Period||2 Months [change]|
Diversification Opportunities for Visa and NASDAQ UK
Overlapping area represents the amount of risk that can be diversified away by holding Visa Inc and NASDAQ UK in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NASDAQ UK and Visa 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 Visa are associated (or correlated) with NASDAQ UK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NASDAQ UK has no effect on the direction of Visa i.e. Visa and NASDAQ UK go up and down completely randomly.
See also your portfolio center. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.