Table 2.

Logistic regression models forecasting aggregate stock price dynamics (experiment 2)

Market modelBehavioral modelNeural modelCombined model
(Intercept)0.525 (0.494)−0.275 (0.727)0.122 (0.184)0.365 (0.951)
Slope−1.397 (1.725)−1.634 (1.791)
Volatility−0.028 (0.033)−0.030 (0.035)
Previous trial−0.207 (0.344)−0.740 (0.412)
Choice0.678 (1.324)0.944 (1.517)
NAcc activity0.146 (2.852)−0.625 (4.332)
NAcc*Prv Trial1.552 (6.061)
AIns activity−0.996 (3.004)6.143 (4.433)
AIns*Prv trial−15.032 (6.534)*
MPFC activity2.122 (1.779)2.899 (2.714)
MPFC*Prv trial−0.973 (3.701)
R2‡0.0080.0010.0100.058
χ2 model1.6700.2631.94711.099
AIC197.378194.785197.101201.949

  • Statistics are coefficients with SEMs in parentheses. Predicted associations in bold.

  • ↵*p < 0.05.

  • ↵‡R2 is McFadden's pseudo-R2.