Table 3.

Study 2 distortion and selective forgetting

Dependent variable	Trade return				Trade forgotten
					0: remembered, 1: forgotten
	(1)	(2)	(3)	(4)	(5)	(6)
Condition (0: memory, 1: statement)	−0.088***	−0.086***	−0.037*	−0.037*
	(0.018)	(0.018)	(0.016)	(0.017)
Return valence (0 = negative, 1 = positive)					−0.435*	−0.435*
					(0.186)	(0.185)
Absolute percentage return						−0.586**
						−0.000**
Dollar value of trade		0.000		0.000		(0.000)
		(0.000)		(0.000)		−0.001
Number of days the position was held		0.001		0.001+		(0.001)
		(0.000)		(0.000)		−0.000
Number of days since trade closed		0.000		0.000		(0.001)
		(0.000)		(0.000)		0.299
Gender (1: male, 2: female)		−0.186***		−0.201***		(0.287)
		(0.052)		(0.057)		−0.014
Age		−0.006**		−0.007**		(0.011)
		(0.002)		(0.002)		−0.114
Income		−0.006		−0.006		(0.081)
		(0.024)		(0.026)		−0.018
Education		0.031		0.026		(0.137)
		(0.036)		(0.040)		0.146*
Asset value		−0.009		−0.009		(0.070)
		(0.022)		(0.023)		−0.000
Number of stocks owned		0.000		0.000		(0.000)
		(0.000)		(0.000)		0.620+
Financial advisor (1: yes, 2: no)		0.004		0.028		(0.369)
		(0.067)		(0.070)		(0.219)
Constant	0.394***	0.651***	0.345***	0.605**	−0.417*	−1.223
	(0.046)	(0.193)	(0.041)	(0.216)	(0.168)	(1.065)
Observations	2,397	2,394	2,010	2,010	1,161	1,161

Robust SEs are in parentheses. Estimates in columns 1 to 4 represent ordinary least squares regression coefficients. Estimates in columns 5 and 6 represent log odds coefficients from a logistic regression. SEs are clustered at the trade and participant level in columns 1 to 4 and at the participant level in columns 5 and 6). +P < 0.01, *P < 0.05, **P < 0.01, and ***P < 0.001.