Table 3.

Logistic regressions

Variables123456789
risk_taker−0.318*** (0.0797)−0.293*** (0.0919)−0.314*** (0.0922)−0.231** (0.0936)−0.335*** (0.122)−0.297** (0.149)−0.303** (0.119)−0.304*** (0.1000)−0.991*** (0.233)
ln_balance0.0376** (0.0147)0.0422*** (0.0146)0.0394*** (0.0144)0.0419** (0.0145)0.0296 (0.0212)0.0764** (0.0306)0.0587** (0.0238)0.231*** (0.0640)−0.0396 (0.0426)
ln_age0.0164 (0.155)0.136 (0.175)0.0473 (0.178)0.0560 (0.177)0.263 (0.234)0.0729 (0.255)0.178 (0.249)−0.544*** (0.202)−0.0248 (0.568)
gender−0.131 (0.0796)−0.184** (0.0897)−0.178** (0.0897)−0.195** (0.0905)−0.0702 (0.120)0.114 (0.133)0.298** (0.121)−0.0188 (0.0995)−0.891*** (0.225)
ntrades_norm0.223*** (0.0379)0.265*** (0.0481)0.266*** (0.0483)0.185*** (0.0511)0.373*** (0.0621)0.171*** (0.0645)0.121* (0.0636)0.299*** (0.0579)0.345*** (0.0785)
educ  −0.519*** (0.137)−0.487*** (0.138)−0.478*** (0.177)−0.0159 (0.190)−0.552*** (0.182)−0.480*** (0.160)−0.155 (0.324)
assets_div   0.898*** (0.128)     
Constant−1.565** (0.669)−3.170*** (0.779)−2.307*** (0.814)  −2.753** (1.180)−2.823** (1.155)−2.301** (1.153)−0.182 (2.552)
Observations4,0554,0554,055  1,6082,2283,071819
Only bull marketsNNNNYNNNN
Month controlNYYYYYYYY
Asset controlNYYYYNNNN

Notes:

In this table, disp is the dependent categorical variable, which equals 1 if the investor incurs in the disposition effect (that is if the proportion of gains realized is higher than the proportion of losses realized). Controls include the following: risk-taking (risk_taker), which equals 1 if investors are classified as moderate with volatility or aggressive and zero if they are classified as conservatives or moderate without volatility (according to the suitability questionnaire), portfolio size (ln_balance), age (ln_age), gender (which equals 1 if the investor is male and zero if she is female) and the number of monthly trades (ntrades_norm). We also control for diversified portfolios (assets_div), which is a categorical variable that equals 1 if the investor portfolio includes assets in at least three of the four asset classes for a certain month. Columns (6)–(9) depict the results considering each asset class separately: fixed income, multi-market funds, real estate and stocks, respectively. Standard-errors for all models are shown in parentheses.

*

p < 0.10;

**

p < 0.051;

***

p < 0.01

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