Pair Correlation Between NQTH and SPTSX Comp

This module allows you to analyze existing cross correlation between NQTH and SPTSX Comp. You can compare the effects of market volatilities on NQTH 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 NQTH with a short position of SPTSX Comp. See also your portfolio center. Please also check ongoing floating volatility patterns of NQTH and SPTSX Comp.
 Time Horizon     30 Days    Login   to change
Symbolsvs

NQTH  vs.  SPTSX Comp

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, NQTH is expected to under-perform the SPTSX Comp. In addition to that, NQTH is 1.16 times more volatile than SPTSX Comp. It trades about -0.02 of its total potential returns per unit of risk. SPTSX Comp is currently generating about 0.02 per unit of volatility. If you would invest  1,543,940  in SPTSX Comp on March 20, 2018 and sell it today you would earn a total of  9,057  from holding SPTSX Comp or generate 0.59% return on investment over 30 days.

Pair Corralation between NQTH and SPTSX Comp

0.84
Time Period2 Months [change]
DirectionPositive 
StrengthStrong
Accuracy96.0%
ValuesDaily Returns

Diversification

Very poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding NQTH and SPTSX Comp in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SPTSX Comp and NQTH 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 NQTH 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 NQTH i.e. NQTH and SPTSX Comp go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns 

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