Table 3

Model 1.2

Random effects
ESGESGSubcomponents
Mkt-RF0.556***0.556***0.556***0.556***0.556***
(0.028)(0.028)(0.028)(0.028)(0.028)
SMB0.0930.0950.0930.0920.092
(0.081)(0.081)(0.081)(0.081)(0.081)
HML0.502***0.500***0.499***0.503***0.497***
(0.093)(0.093)(0.093)(0.093)(0.093)
RMW0.598***0.596***0.596***0.598***0.591***
(0.124)(0.124)(0.124)(0.125)(0.124)
CMA−0.440***−0.442***−0.438***−0.445***−0.439***
(0.124)(0.124)(0.124)(0.124)(0.124)
ESG_score−0.007    
(0.005)    
E_ score −0.003  0.006
 (0.004)  (0.006)
S_ score  −0.009** −0.015**
  (0.004) (0.007)
G_ score   −0.0050.002
   (0.005)(0.006)
const0.019−0.2000.098−0.149−0.043
(0.295)(0.252)(0.257)(0.280)(0.305)
BIC20962.6320963.9520960.4520963.8220975.47
Obs3,2683,2683,2683,2683,268
R20.2290.2290.2300.2290.230
F-stat161.517161.233161.989161.262121.604
LogLik−10448.947−10449.608−10447.855−10449.541−10447.278

Note(s): The dependent variable is return of REITs. In this model, ESG rating data are transformed into monthly data, resulting in two different analyses, assuming a constant REIT evolution towards the rating of year t+1, by linearly interpolating the score each month. The market factor is calculated as the difference between MKT and the risk free rate. The subcomponents column represents the regression where all the three ESG pillars are analyzed together. Figures in parentheses show standard error. Signs ***, **, * represent significant level at 1, 5, 10% respectively

Source(s): Authors’ own work

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