Research Article

In Search of Leading Indicator Property of Yield Spread for India: An Approach Based on Quantile and Wavelet Regression

Table 3

Estimation results of different quantiles of output growth and inflation prediction using yield spreads.

QuantileOutput growthInflation
CoefficientSt. error valueCoefficientSt. error value

= 20.20.000.200.99−0.040.140.77
0.4−0.170.190.35−0.120.100.22
0.6−0.100.190.59−0.090.090.29
0.8−0.250.280.36−0.20.090.02

= 40.20.160.160.30−0.030.110.76
0.4−0.060.170.70−0.120.090.16
0.6−0.080.190.66−0.120.090.19
0.8−0.180.320.57−0.080.160.61

= 60.20.30.150.010.060.090.49
0.40.070.170.64−0.090.090.31
0.6−0.060.170.73−0.130.090.16
0.8−0.420.170.01−0.120.160.45

= 80.20.200.170.250.090.090.33
0.4−0.170.190.38−0.070.090.42
0.6−0.080.170.64−0.040.110.70
0.8−0.370.160.02−0.030.220.86**

represents the significance at 5% level.