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Three essays on applied economics with high-frequency consumer data

Publication Date
March 15, 2021
Creator
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
ethesis
Thesis Type
PhD
Supervisors
Keywords

Consumer behavior

Compulsive shopping

Paydays

Consumption (Economic...

Stocks

Stock exchanges

Investments

Big data

Subjects (LC)

HF Commerce

Associated Schools / Departments
School of Economics (UK)
eprints ID
64353
UoN Repository URI
Except where otherwise noted, this item's license is described as
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Name

submission_nam_seomo_final.pdf

Type

Full-text

Description
Examined
Size

9.22 MB

Format

Adobe PDF

Checksum (MD5)

524f364fc050c38a5df922c227743aa6