Pair Correlation Between BSE and NQFI

This module allows you to analyze existing cross correlation between BSE and NQFI. You can compare the effects of market volatilities on BSE and NQFI 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 BSE with a short position of NQFI. See also your portfolio center. Please also check ongoing floating volatility patterns of BSE and NQFI.
 Time Horizon     30 Days    Login   to change
Symbolsvs
 BSE  vs   NQFI
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, BSE is expected to generate 1.54 times less return on investment than NQFI. But when comparing it to its historical volatility, BSE is 1.12 times less risky than NQFI. It trades about 0.41 of its potential returns per unit of risk. NQFI is currently generating about 0.57 of returns per unit of risk over similar time horizon. If you would invest  151,461  in NQFI on December 18, 2017 and sell it today you would earn a total of  8,571  from holding NQFI or generate 5.66% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between BSE and NQFI
0.9

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthVery Strong
Accuracy95.65%
ValuesDaily Returns

Diversification

Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding BSE and NQFI in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NQFI and BSE 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 BSE are associated (or correlated) with NQFI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NQFI has no effect on the direction of BSE i.e. BSE and NQFI go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns