ArticlePloS one2018
Individual investment decision behaviors based on demographic characteristics: Case from China.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Adaptability factors and behavioral biases of investors in frontier markets: An adaptive market hypothesis perspective.PloS one · 2026Article
- Do investors' personalities predict market winners? Experimental setting and machine learning analysis.Heliyon · 2023Article
- The sources of information of the genealogical tourist: the influence of social networks and genealogical associations.Heliyon · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting and analyzing behaviors of investors is of great value to financial institutions. This paper uses survey data from about 9,000 individual investors across China to explore the predictability of decision behaviors by studying demographic characteristics that are relatively easy to obtain. After applying Pearson's chi-squared test, Spearman rank correlation test, and several data mining methods, we verified that demographic characteristics are closely linked to decision behaviors, and it would be an economical and feasible solution for financial organizations to build initial behavioral prediction models especially when investors' behavioral data are insufficient.
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Registered trials
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