Three essays on applied economics with high-frequency consumer data

Nam, Seokmo (2021) Three essays on applied economics with high-frequency consumer data. PhD thesis, University of Nottingham.

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Abstract

This thesis consists of three essays that study individual financial decisions and forecast the financial markets by exploiting rich high-frequency, transaction-level spending data from a United Kingdom (UK) online financial management provider.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Lee, Kevin
Gathergood, John
Keywords: Consumer behavior; Compulsive shopping; Paydays; Consumption (Economics); Stocks; Stock exchanges; Investments; Big data
Subjects: H Social sciences > HF Commerce
Faculties/Schools: UK Campuses > Faculty of Social Sciences, Law and Education > School of Economics
Item ID: 64353
Depositing User: NAM, SEOKMO
Date Deposited: 24 May 2021 10:20
Last Modified: 24 May 2021 10:30
URI: http://eprints.nottingham.ac.uk/id/eprint/64353

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