Automatic versus manual investing: Role of past performance

Using unique data from a leading peer-to-peer (P2P) lending platform, we investigate the link between past investment performance and choice of auto-investing tool. Our results suggest that investors who experience fewer defaults in the manual mode are more inclined to switch to automatic investment. Several factors account for this relationship, including investor inattention, decision speed, investment delegation, and experience. Regarding the latter, our results suggest that experienced investors are more likely to continue self-directed bidding, even if they have faced defaults in manual investments in the past. These investors may attribute their previous mistakes to their own actions rather than the limitations of the self-directed bids. Our results are robust to alternative specifications.

Authors

Institutions

Publication Details

Journal
Journal of Financial Stability
Published
2024-08-23
DOI
https://doi.org/10.1016/j.jfs.2024.101319
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic versus manual investing: Role of past performance

Oskar Kowalewski, Oleksandr Talavera, Said Kaawach
1 citations
Journal of Financial Stability
FinTech, Crowdfunding, Digital Finance
0.53
article

Automatic versus manual investing: Role of past performance

Oskar Kowalewski, Oleksandr Talavera, Said Kaawach
article en
1 citations

Abstract

Using unique data from a leading peer-to-peer (P2P) lending platform, we investigate the link between past investment performance and choice of auto-investing tool. Our results suggest that investors who experience fewer defaults in the manual mode are more inclined to switch to automatic investment. Several factors account for this relationship, including investor inattention, decision speed, investment delegation, and experience. Regarding the latter, our results suggest that experienced investors are more likely to continue self-directed bidding, even if they have faced defaults in manual investments in the past. These investors may attribute their previous mistakes to their own actions rather than the limitations of the self-directed bids. Our results are robust to alternative specifications.

Journal of Financial StabilityVol. 74
Centre National de la Recherche Scientifique (FR), University of Huddersfield (GB), Université de Lille (FR), Institut d'Economie Scientifique Et de Gestion (FR), Lille Économie Management (FR), University of Birmingham (GB)
Openalex Percentile: Top 27%
FinTech, Crowdfunding, Digital Finance
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.