This module allows you to analyze existing cross correlation between Shanghai and Jakarta Comp. You can compare the effects of market volatilities on Shanghai and Jakarta Comp 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 Shanghai with a short position of Jakarta Comp. See also your portfolio center. Please also check ongoing floating volatility patterns of Shanghai and Jakarta Comp.
|Horizon||30 Days Login to change|
Predicted Return Density
Shanghai vs. Jakarta Comp
Assuming 30 trading days horizon, Shanghai is expected to under-perform the Jakarta Comp. In addition to that, Shanghai is 1.62 times more volatile than Jakarta Comp. It trades about -0.23 of its total potential returns per unit of risk. Jakarta Comp is currently generating about -0.08 per unit of volatility. If you would invest 641,474 in Jakarta Comp on May 19, 2019 and sell it today you would lose (16,448) from holding Jakarta Comp or give up 2.56% of portfolio value over 30 days.
Pair Corralation between Shanghai and Jakarta Comp
|Time Period||2 Months [change]|
Diversification Opportunities for Shanghai and Jakarta Comp
Overlapping area represents the amount of risk that can be diversified away by holding Shanghai and Jakarta Comp in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Jakarta Comp and Shanghai 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 Shanghai are associated (or correlated) with Jakarta Comp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jakarta Comp has no effect on the direction of Shanghai i.e. Shanghai and Jakarta Comp go up and down completely randomly.
See also your portfolio center. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.