Research Article

Monitoring and Analysis of Venture Capital and Corporate Fraud Based on Deep Learning

Table 5

External governance environment.

(1)(2)(3)(4)
Fraudt+1Freqt+1
Analyst-HAnalyst-LAnalyst-HAnalyst-L

VC−0.047−0.077−0.122−0.158
(−0.96)(−1.83)(−1.57)(−3.09)
Age−0.073−0.030−0.099−0.038
(−2.47)(−1.27)(−2.60)(−1.36)
Size−0.0090.0630.0150.129
(−0.33)(2.85)(0.45)(5.06)
ROA−2.606−3.853−5.811−5.759
(−4.98)(−8.33)(−9.20)(−11.64)
Dual−0.077−0.095−0.235−0.135
(−1.56)(−2.30)(−3.94)(−2.79)
Audit−0.237−0.249−0.434−0.365
(−2.18)(−2.11)(−2.80)(−2.42)
BdSize0.2080.1290.1460.184
(1.74)(1.29)(0.99)(1.56)
Tqmed0.009−0.104−0.038−0.193
(0.10)(−1.24)(−0.32)(−1.89)
Cash−0.099−0.064−0.170−0.105
(−3.59)(−2.61)(−4.74)(−3.57)
Constant−0.380−1.156−0.372−2.368
(−0.57)(−2.05)(−0.45)(−3.78)
AME−0.0334−0.0555
(−1.96)(−3.08)
Observations5374655554596588
Year&IndustryYesYesYesYes
Pseudo R20.0540.0330.0750.044
AIC4922.0746913.5737433.14710667.752
Log likelihood−2377.037−3370.786−3619.573−5242.876

p < 0.10, p < 0.05, and p < 0.01.