This module allows you to analyze existing cross correlation between Hang Seng and NASDAQ UK. You can compare the effects of market volatilities on Hang Seng 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 Hang Seng with a short position of NASDAQ UK. See also your portfolio center. Please also check ongoing floating volatility patterns of Hang Seng and NASDAQ UK.
|Horizon||30 Days Login to change|
Predicted Return Density
Hang Seng vs. NASDAQ UK
Given the investment horizon of 30 days, Hang Seng is expected to under-perform the NASDAQ UK. In addition to that, Hang Seng is 1.49 times more volatile than NASDAQ UK. It trades about -0.27 of its total potential returns per unit of risk. NASDAQ UK is currently generating about -0.19 per unit of volatility. If you would invest 105,984 in NASDAQ UK on May 17, 2019 and sell it today you would lose (5,706) from holding NASDAQ UK or give up 5.38% of portfolio value over 30 days.
Pair Corralation between Hang Seng and NASDAQ UK
|Time Period||2 Months [change]|
Diversification Opportunities for Hang Seng and NASDAQ UK
Almost no diversification
Overlapping area represents the amount of risk that can be diversified away by holding Hang Seng and NASDAQ UK in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NASDAQ UK and Hang Seng 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 Hang Seng 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 Hang Seng i.e. Hang Seng and NASDAQ UK go up and down completely randomly.
See also your portfolio center. Please also try Bollinger Bands module to use bollinger bands indicator to analyze target price for a given investing horizon.