Model 1.2
| Random effects | |||||
|---|---|---|---|---|---|
| ESG | E | S | G | Subcomponents | |
| Mkt-RF | 0.556*** | 0.556*** | 0.556*** | 0.556*** | 0.556*** |
| (0.028) | (0.028) | (0.028) | (0.028) | (0.028) | |
| SMB | 0.093 | 0.095 | 0.093 | 0.092 | 0.092 |
| (0.081) | (0.081) | (0.081) | (0.081) | (0.081) | |
| HML | 0.502*** | 0.500*** | 0.499*** | 0.503*** | 0.497*** |
| (0.093) | (0.093) | (0.093) | (0.093) | (0.093) | |
| RMW | 0.598*** | 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 | −0.005 | 0.002 | |||
| (0.005) | (0.006) | ||||
| const | 0.019 | −0.200 | 0.098 | −0.149 | −0.043 |
| (0.295) | (0.252) | (0.257) | (0.280) | (0.305) | |
| BIC | 20962.63 | 20963.95 | 20960.45 | 20963.82 | 20975.47 |
| Obs | 3,268 | 3,268 | 3,268 | 3,268 | 3,268 |
| R2 | 0.229 | 0.229 | 0.230 | 0.229 | 0.230 |
| F-stat | 161.517 | 161.233 | 161.989 | 161.262 | 121.604 |
| LogLik | −10448.947 | −10449.608 | −10447.855 | −10449.541 | −10447.278 |
| Random effects | |||||
|---|---|---|---|---|---|
| ESG | E | S | G | Subcomponents | |
| Mkt-RF | 0.556*** | 0.556*** | 0.556*** | 0.556*** | 0.556*** |
| (0.028) | (0.028) | (0.028) | (0.028) | (0.028) | |
| SMB | 0.093 | 0.095 | 0.093 | 0.092 | 0.092 |
| (0.081) | (0.081) | (0.081) | (0.081) | (0.081) | |
| HML | 0.502*** | 0.500*** | 0.499*** | 0.503*** | 0.497*** |
| (0.093) | (0.093) | (0.093) | (0.093) | (0.093) | |
| RMW | 0.598*** | 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 | −0.005 | 0.002 | |||
| (0.005) | (0.006) | ||||
| const | 0.019 | −0.200 | 0.098 | −0.149 | −0.043 |
| (0.295) | (0.252) | (0.257) | (0.280) | (0.305) | |
| BIC | 20962.63 | 20963.95 | 20960.45 | 20963.82 | 20975.47 |
| Obs | 3,268 | 3,268 | 3,268 | 3,268 | 3,268 |
| 0.229 | 0.229 | 0.230 | 0.229 | 0.230 | |
| 161.517 | 161.233 | 161.989 | 161.262 | 121.604 | |
| 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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