Table IV

2SLS regression analysis of the effect of D&O insurance coverage on crash risk

Model 1Model 2
VariablesCoefficientz-valueCoefficientz-value
Constant−3.0878−11.12***−1.5305−10.82***
LNDOˆM−0.0190−2.07**−0.0115−2.44**
NCSK10.05663.86***  
DUV1  0.06244.07***
DTurn−1.2042−1.10−0.3646−0.67
RET13.31832.59***6.22422.43**
MTB0.01533.09***0.00843.50***
SIZE0.12669.45***0.06359.22***
SIGMAR0.89751.160.08020.21
LEV−0.1660−1.47−0.1188−2.07**
ROA−0.1929−1.39−0.0898−1.32
ASACC−0.0453−0.78−0.0090−0.39
Industry Fixed EffectYesYes
Year Fixed EffectYesYes
N4,8904,890
R20.09460.1039

Notes: The table presents the 2SLS results of the effect of D&O insurance coverage on stock price crash risk. Dependent variables: NCSK and DUV are the crash risk measures of firm i in year t in Models 1 and 2, respectively. Independent variables: LNDOˆM is the predicted LNDOM of Equation (5) of firm i in year t−1. NCSK1 is the crash risk measure of firm i in year t−1. DUV1 is the crash risk measure of firm i in year t−1. DTurn is the change in monthly share turnover of firm i in year t−1. RET is the average firm-specific weekly return of firm i in year t−1. MTB is the market-to-book-value ratio of firm i in year t−1. SIZE is the natural logarithm of the market value of equity of firm i in year t−1. SIGMAR is calculated as the standard deviation of the firm-specific weekly returns of firm i in year t−1. LEV is calculated as the total long-term debt to total asset ratio of firm i in year t−1. ROA is the return on assets of firm i in year t−1. ABACC is the absolute value of the abnormal accruals of firm i in year t−1. Year Fixed Effect is a set of year dummy variables. Industry Fixed Effect is a set of industrial dummy variables. This study applies the Arellano and Bond’s (1991) approach to obtain robust standard errors and then computes the z-values. **,***Significant at the 5 and 1 percent levels, respectively

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