17N Detecting Feelings of Financial Distress From Bank Transactions

Using machine learning, we are able to predict subjective feelings of financial distress from individuals’ bank transactions aggregated from a money management mobile app with moderate accuracy (r = .43). Financial distress is linked to spending larger proportions in basic needs, poor financial management, impulsive spending, and compensatory consumer behaviour.



Citation:

Alixe Lay and Joe Gladstone (2019) ,"17N Detecting Feelings of Financial Distress From Bank Transactions", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 980-980.

Authors

Alixe Lay, University College London
Joe Gladstone, University College London



Volume

NA - Advances in Consumer Research Volume 47 | 2019



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