This module allows you to analyze existing cross correlation between Bursa Malaysia and SPTSX Comp. You can compare the effects of market volatilities on Bursa Malaysia and SPTSX 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 Bursa Malaysia with a short position of SPTSX Comp. See also your portfolio center
. Please also check ongoing floating volatility patterns of Bursa Malaysia
and SPTSX Comp
Bursa Malaysia vs. SPTSX Comp
Assuming 30 trading days horizon, Bursa Malaysia is expected to under-perform the SPTSX Comp. But the index apears to be less risky and, when comparing its historical volatility, Bursa Malaysia is 1.03 times less risky than SPTSX Comp. The index trades about -0.02 of its potential returns per unit of risk. The SPTSX Comp is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,638,360 in SPTSX Comp on June 18, 2018 and sell it today you would earn a total of 13,560 from holding SPTSX Comp or generate 0.83% return on investment over 30 days.
Pair Corralation between Bursa Malaysia and SPTSX Comp
|Time Period||1 Month [change]|
Overlapping area represents the amount of risk that can be diversified away by holding Bursa Malaysia and SPTSX Comp in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SPTSX Comp and Bursa Malaysia 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 Bursa Malaysia are associated (or correlated) with SPTSX Comp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPTSX Comp has no effect on the direction of Bursa Malaysia i.e. Bursa Malaysia and SPTSX Comp go up and down completely randomly.
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See also your portfolio center
. Please also try My Watchlist Analysis
module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.