Research Article

Taming the Factor Zoo: New Evidence from China

Table 6

Spanning regression. This table reports results of regressing FF6 factors, q5 factors, SY4 factors, and DHS-3 factors on LSY4 factors. MKT, SMB, VMG, and PMO are market, size, value, and turnover factors in the Liu–Stambaugh–Yuan 4-factor model [15]. HML, RMW, CMA, and UMD are value, profitability, investment, and momentum factors in the Fama–French 6-factor model [10]. , , , and are size, investment, profitability, and expected growth factor in the Hou–Xue–Zhang q5-factor model [2]. MGMT and PERF are two mispricing factors in the Stambaugh–Yuan 4-factor model [21]. PEAD and FIN are two long-short horizon factors in the Daniel–Hirshleifer–Sun 3-factor model [22]. For each factor, we report its coefficient estimate and corresponding t-statistic (given in parentheses). R2 is adjusted R-squared of each regression, and D-W Stat. is corresponding Durbin–Watson statistic of each regression.

AlphaMktrfSMBVMGPMOR2D-W stat.

HML0.390.06−0.270.29−0.280.262
−1.48−2(−3.79)−3.25(−3.98)
RMW−0.14−0.05−0.270.430.100.551.85
(−0.85)(−2.52)(−5.74)−7.55−2.2
CMA−0.03−0.030.14−0.01−0.160.071.85
(−0.16)(−1.30)−2.85(−0.07)(−3.26)
UMD0.28−0.04−0.330.060.090.141.93
−0.99(−1.17)(−4.22)−0.58−1.23
0.1900.75−0.060.040.852.11
−1.9(−0.05)−27.25(−1.85)−1.37
−0.06−0.020.100.13−0.080.032.13
(−0.41)(−1.13)−2.24−2.48(−1.79)
0.07−0.02−0.050.740.070.661.74
−0.48(−1.43)(−1.24)−14.87−1.88
0.10.03−0.160.25−0.180.171.88
−0.42−1.27(−2.42)−3.11(−2.93)
MGMT−0.11−0.020.160.03−0.050.022.08
(−0.47)(−0.85)−2.52−0.43(−0.78)
PERF−0.03−0.09−0.050.520.180.251.98
(−0.11)(−2.51)(−0.59)−5.1−2.32
PEAD0.72−0.050.030.2800.141.96
−3.35(−2.09)(−0.45)−3.86(−0.04)
FIN0.080.02−0.030.08−0.050.021.95
−0.51−1.14(−0.66)−1.35(−1.20)