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

Table 10

Replace model.

	(1)	(2)
	Tobit	Negative binomial regression
	VC	−0.018	−0.132
	(−2.09)	(−2.55)
Age	−0.009	−0.041
	(−1.87)	(−1.39)
Size	0.004	0.033
	(0.84)	(1.25)
ROA	−0.999	−6.259
	(−11.46)	(−11.75)
Dual	−0.026	−0.173
	(−2.98)	(−3.42)
Audit	−0.056	−0.378
	(−2.96)	(−2.85)
BdSize	0.037	0.239
	(1.84)	(1.92)
Tqmed	−0.016	−0.123
	(−0.95)	(−1.17)
Cash	−0.020	−0.134
	(−4.25)	(−4.51)
Constant	0.375	−0.662
	(3.32)	(−0.98)
Observations	12047	12047
Year and industry	Yes	Yes
Pseudo R^2	0.037	0.028
AIC	11914.801	16851.091
Log likelihood	−5859.400	−8327.546

p < 0.10, p < 0.05, and p < 0.01.