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. 2018 Jul 25;8:11207. doi: 10.1038/s41598-018-29670-6

Table 2.

Linear probability models with possible explanatory variables of real-life active stock trading.

Active stock trading
Left AI
(stock > bond choice, gain domain)
−0.13
(−2.24)**
−0.13
(−2.39)**
−0.10
(−1.93)*
−0.03
(−0.62)
−0.0001
(−0.00)
Household income (after taxes) 0.10
(4.72)***
0.09
(4.54)***
0.07
(3.48)**
0.06
(3.57)***
Having financial liabilities −0.11
(−1.54)
−0.12
(−1.60)
−0.09
(−1.24)
−0.11
(−1.60)
Years of education 0.03
(1.78)*
0.02
(1.79)*
0.02
(1.66)*
Financial literacy 0.04
(0.41)
−0.08
(−0.92)
−0.05
(−0.60)
Debt literacy −0.01
(−0.16)
−0.08
(−1.15)
−0.09
(−1.49)
Numeracy −0.10
(−0.81)
−0.06
(−0.57)
−0.06
(−0.57)
Verbal intelligence 0.003
(0.64)
0.002
(0.39)
0.003
(0.68)
Numerical intelligence 0.0003
(0.07)
0.002
(0.45)
0.001
(0.33)
Figural intelligence −0.01
(−1.99)**
−0.01
(−2.63)**
−0.01
(−2.22)**
Risk Optimism Index (ROI) 0.14
(5.70)***
0.10
(3.78)***
Risk Tolerance Index (RTI) 0.09
(3.95)***
N 157 157 157 157 157
Adjusted R2 0.03 0.15 0.16 0.31 0.37

Left AI activation is included as an independent variable of interest. Coefficients are shown with t-statistics in parentheses.

Significance levels: *p < 0.1, **p < 0.05, ***p < 0.001.