Three essays on applied economics with high-frequency consumer data

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Three essays on applied economics with high-frequency consumer data

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.

Bibliographic Details
Main Author:	Nam, Seokmo
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Consumer behavior; Compulsive shopping; Paydays; Consumption (Economics); Stocks; Stock exchanges; Investments; Big data
Online Access:	https://eprints.nottingham.ac.uk/64353/

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