This module allows you to analyze existing cross correlation between IBEX 35 and SPTSX Comp. You can compare the effects of market volatilities on IBEX 35 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 IBEX 35 with a short position of SPTSX Comp. See also your portfolio center. Please also check ongoing floating volatility patterns of IBEX 35 and SPTSX Comp.
|Horizon||30 Days Login to change|
IBEX 35 vs. SPTSX Comp
Assuming 30 trading days horizon, IBEX 35 is expected to under-perform the SPTSX Comp. In addition to that, IBEX 35 is 1.55 times more volatile than SPTSX Comp. It trades about -0.16 of its total potential returns per unit of risk. SPTSX Comp is currently generating about -0.07 per unit of volatility. If you would invest 1,657,730 in SPTSX Comp on May 19, 2019 and sell it today you would lose (22,380) from holding SPTSX Comp or give up 1.35% of portfolio value over 30 days.
Pair Corralation between IBEX 35 and SPTSX Comp
|Time Period||2 Months [change]|
Diversification Opportunities for IBEX 35 and SPTSX Comp
Overlapping area represents the amount of risk that can be diversified away by holding IBEX 35 and SPTSX Comp in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SPTSX Comp and IBEX 35 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 IBEX 35 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 IBEX 35 i.e. IBEX 35 and SPTSX Comp go up and down completely randomly.
See also your portfolio center. Please also try Equity Valuation module to check real value of public entities based on technical and fundamental data.