Table 5

The slope estimates of the good times indicators

CAPM3-Factors
αγαγ
Panel A. ESG
Shiller's CAPE−0.836***0.784***−0.305***0.237***
 (−9.86)(5.23)(−4.46)(3.03)
GDP Forecasting−0.630***0.118−0.283***0.139
 (−6.32)(0.74)(−3.89)(1.49)
Panel B. Environmental
Shiller's CAPE−0.769***0.710***−0.398***0.298**
 (−6.43)(3.36)(−5.35)(2.27)
GDP Forecasting−0.565***0.061−0.396***0.242*
 (−4.27)(0.29)(−5.03)(1.91)
Panel C. Social
Shiller's CAPE−0.720***0.769***−0.317***0.293**
 (−6.91)(4.18)(−4.46)(2.34)
GDP Forecasting−0.499***0.066−0.260***0.096
 (−4.23)(0.35)(−3.40)(0.78)
Panel D. Governance
Shiller's CAPE−0.441***0.158*−0.011−0.294***
 (−9.31)(1.89)(−0.18)(−2.67)
GDP Forecasting−0.393***0.007−0.021−0.220**
 (−7.77)(0.09)(−0.31)(−2.05)

Note(s): This table shows the coefficient estimate for the good economic time indicator variable. We estimate CAPM alphas and FF3 alphas of the HL strategy using a 36-month rolling regression methodology. We then insert the good time indicators and estimate the following specification

α^HL,t=α+γ*IGood+ϵt

The sample period is from January 2012 to December 2020. The t-statistics are in parentheses and are based on standard errors following Newey and West(1987) using twelve lags. The statistical significance at the 10%, 5% and 1% levels is given by *, ** and ***, respectively

Source(s): Author's work

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