Table 3

OLS regression models of AC and IR

M1M2M3M4M5M6M7
Intercept0.0220.0080.023***0.030b*0.021c0.0210.025
AUDITCOM**0.025b*0.018c*0.025c**0.023c**0.021c*0.025c**0.023c
LNSIZE−0.005 −0.005−0.003−0.003−0.005−0.004
LNAGE   −0.070   
LNDEBT *−0.034 −0.021−0.022 −0.029
Auditor  −0.002    
Executives**−0.001b*−0.002c*−0.001c  **−0.001c**−0.001b
IGBMRET   *0.112c   
Property     0.001 
Management    −0.008  
Reference price**0.011b*0.010c**0.011c**0.012c*0.011b**0.011b**0.012b
PPP**0.017b***0.020a**0.016b*0.013c**0.016b**0.016b***0.018a
Standard0.0060.0100.006  0.0060.006
N(a)41414141414141
Adjusted R20.2020.2140.1780.2220.1530.1780.231
F-test statistic***5.20**2.78***4.83**3.12**3.07***4.45**4.16
VIF[1.06–1.99][1.07–1.20][1.08–2.01][1.17–1.68][1.10–1.64][1.10–2.16][1.11–2.10]

Note(s): Multiple linear regression models estimated by cross-sectional OLS. Dependent variable is the initial-day return. Heteroscedasticity has been corrected using White’s methodology

The variables are described in Table A1 

VIF: Variance Inflation Factor. Maximum-minimum values are reported

***, **, * significant at the 1%, 5 and 10% levels, respectively

a, b, c significant at the 1%, 5 and 10% levels, respectively, using the bootstrap methodology

(a) 10 observations have been lost out of the initial 51 since there are firms that do not perform an initial valuation of the company and therefore the REFERENCE PRICE variable has no value (see Section 2 for more information)

Source(s): Table by authors

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