Development and validation of the Trading Disorder Scale for assessing problematic trading behaviors
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View abstract on PubMed
Summary
This summary is machine-generated.A new Trading Disorder Scale (TDS) reliably assesses problematic trading behaviors in amateur investors. The scale effectively identifies disordered trading patterns, differentiating them from at-risk and non-disordered trading behaviors.
Area Of Science
- Behavioral economics
- Psychometrics
- Addiction research
Background
- Growing evidence links trading behaviors with gambling, but existing instruments may not fully capture trading nuances.
- Problematic trading assessment often relies on gambling-related tools, necessitating a specialized measure.
Purpose Of The Study
- To develop and evaluate the psychometric properties of the Trading Disorder Scale (TDS).
- To establish a reliable and valid instrument for assessing disordered trading behaviors.
Main Methods
- Cross-sectional survey of 403 Spanish amateur traders.
- Psychometric testing of the TDS for reliability, validity, and factorial structure.
- Latent class analysis (LCA) to identify disordered trading patterns.
Main Results
- Exploratory and confirmatory factor analysis supported a one-factor TDS solution with strong internal consistency.
- The TDS demonstrated good concurrent and convergent validity.
- LCA identified three classes: non-disordered (72.2%), at-risk (17.6%), and disordered trading (10.2%).
- Disordered traders showed higher TDS scores, increased trading frequency, intensive market monitoring, and higher rates of problem gambling, impulsivity, and substance use.
Conclusions
- The Trading Disorder Scale (TDS) is a reliable and valid tool for assessing disordered trading in amateur investors.
- The TDS effectively differentiates between disordered, at-risk, and non-disordered trading behaviors.
- Further research should investigate the predictive validity of the TDS.
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