Logistic regressions
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| 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_balance | 0.0376** (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_age | 0.0164 (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_norm | 0.223*** (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) | ||
| Observations | 4,055 | 4,055 | 4,055 | 1,608 | 2,228 | 3,071 | 819 | ||
| Only bull markets | N | N | N | N | Y | N | N | N | N |
| Month control | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Asset control | N | Y | Y | Y | Y | N | N | N | N |
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| −0.318 | −0.293 | −0.314 | −0.231 | −0.335 | −0.297 | −0.303 | −0.304 | −0.991 | |
| 0.0376 | 0.0422 | 0.0394 | 0.0419 | 0.0296 (0.0212) | 0.0764 | 0.0587 | 0.231 | −0.0396 (0.0426) | |
| 0.0164 (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 | −0.0248 (0.568) | |
| −0.131 (0.0796) | −0.184 | −0.178 | −0.195 | −0.0702 (0.120) | 0.114 (0.133) | 0.298 | −0.0188 (0.0995) | −0.891 | |
| 0.223 | 0.265 | 0.266 | 0.185 | 0.373 | 0.171 | 0.121 | 0.299 | 0.345 | |
| −0.519 | −0.487 | −0.478 | −0.0159 (0.190) | −0.552 | −0.480 | −0.155 (0.324) | |||
| 0.898 | |||||||||
| Constant | −1.565 | −3.170 | −2.307 | −2.753 | −2.823 | −2.301 | −0.182 (2.552) | ||
| Observations | 4,055 | 4,055 | 4,055 | 1,608 | 2,228 | 3,071 | 819 | ||
| Only bull markets | N | N | N | N | Y | N | N | N | N |
| Month control | N | Y | Y | Y | Y | Y | Y | Y | Y |
| Asset control | N | Y | Y | Y | Y | N | N | N | N |
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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