Table 12

Descriptive statistics of portfolios were sorted into idiosyncratic risk measures

Panel A: 90-day formation periodPanel B: 180-day formation periodPanel C: 365-day formation period
 MeanIECarhart alphaMeanIECarhart alphaMeanIECarhart alpha
1 (Low)1.060.051.10 (3.53)*1.000.061.04 (3.34)*0.890.080.93 (3.00)*
20.860.150.91 (2.17)**0.920.160.81 (2.01)**0.770.180.79 (1.92)***
30.600.180.68 (1.77)***0.530.220.60 (1.68)***0.430.260.49 (1.38)
4−1.120.19−1.19 (−3.31)*−1.020.24−1.10 (−3.20)*−1.000.23−1.03 (−3.07)*
5 (High)−1.240.33−1.26 (−3.57)*−1.120.30−1.15 (−3.66)*−1.100.34−1.12 (−3.71)*
5–1−2.20 (−4.02)* −2.36 (−4.30)*−2.12 (−3.55)* −2.19 (−3.68)*−1.99 (−2.22)** −2.05 (−2.29)*

Note(s): We construct the estimates IEi,t+T at the end of each month from January 1988 through June 2019, as outlined in (11) and (12), using a 90-, 180, and 365-day formation period. The risk factors used in the cross-sectional regressions are those used in model 6 of Table 2. Next, we sort stocks into portfolios at the end of each month based on Et[IEi,t+T] and calculate the value-weighted returns of each portfolio in month t+1. Panels A, B, and C of this table report summary statistics for the five portfolios sorted into IE, where portfolio 1 represents stocks with the lowest predicted IE and portfolio 5 represents stocks with the highest predicted IE. Column 1 of each panel reports the time-series average of the value-weighted portfolio returns, and column 2 presents their corresponding idiosyncratic IE. Column 3 of each panel reports estimated alphas for the Carhart (1997) four-factor model. *,**, and *** denote the significance of t-statistics (in parentheses) at the 1%, 5%, and 10% levels

Source(s): Created by the author

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