This module allows you to analyze existing cross correlation between Jakarta Comp and Swiss Mrt. You can compare the effects of market volatilities on Jakarta Comp and Swiss Mrt 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 Jakarta Comp with a short position of Swiss Mrt. See also your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Comp and Swiss Mrt.
|Horizon||30 Days Login to change|
Predicted Return Density
Jakarta Comp vs. Swiss Mrt
Assuming 30 trading days horizon, Jakarta Comp is expected to under-perform the Swiss Mrt. In addition to that, Jakarta Comp is 1.33 times more volatile than Swiss Mrt. It trades about -0.12 of its total potential returns per unit of risk. Swiss Mrt is currently generating about 0.1 per unit of volatility. If you would invest 959,660 in Swiss Mrt on May 17, 2019 and sell it today you would earn a total of 25,101 from holding Swiss Mrt or generate 2.62% return on investment over 30 days.
Pair Corralation between Jakarta Comp and Swiss Mrt
|Time Period||2 Months [change]|
Diversification Opportunities for Jakarta Comp and Swiss Mrt
Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Comp and Swiss Mrt in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Swiss Mrt and Jakarta Comp 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 Jakarta Comp are associated (or correlated) with Swiss Mrt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swiss Mrt has no effect on the direction of Jakarta Comp i.e. Jakarta Comp and Swiss Mrt go up and down completely randomly.
See also your portfolio center. Please also try Chance of Distress module to get analysis of equity chance of financial distress in the next 2 years.