Table A.2:

Price of Risk Estimates: Estimation with Intercept, Small Cross-Section.

Short Sample (1960-2014)Full Sample (1928-2014)
T = 55 and N = 7T = 87 and N = 7
Reported Dec.Garbage Dec.P-J Dec.Q4-Q4 Dec.Unfiltered T.A.Reported Dec.Unfiltered T.A.
const6.987.293.24−1.33−2.737.10−3.50
t(const)sh1.871.670.72−0.23−0.611.60−0.73
Btrp c.i.95%(−6.3,14.7)(−7.6,23.0)(−7.9,12.3)(−15.8,11.0)(−6.9,11.9)(−4.1,14.4)(−11.8,7.7)
λ1.410.074.572.283.642.584.03
t(λ)sh1.570.052.101.922.181.632.21
Btrp c.i.95%(−1.2,3.6)(−5.1,4.8)(0.7,7.9)(0.1,4.3)(−2.2,4.8)(−3.0,4.9)(0.2,6.2)
GRS-FAR c.i.95%disjointeddisjointeddisjointeddisjointed(2.3, 5.7)disjointedempty
implied γ80.980.8544.03104.9353.5953.9024.62
t(βHML), p-value0.010.880.000.020.200.110.09
F(βi = βj), p-value0.490.490.060.220.000.280.00

Description: This table complements Table 5 in the main paper and provides results for estimation with an intercept λ0.

Interpretation: P-J, Q4-Q4, and unfiltered consumption are significandy priced according to bootstrap confidence intervals even in the short sample, when testing with an intercept is likely to become more powerful than with N = 31∕N = 21.

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