| Author: | Huang, He |
| Title: | Predicting company sales with transactional E-receipts : aggregated and disaggregated data |
| Degree: | DFinTech |
| Year: | 2022 |
| Subject: | Sales forecasting Sales management -- Data processing Hong Kong Polytechnic University -- Dissertations |
| Department: | Faculty of Business |
| Pages: | 94 pages : color illustrations |
| Language: | English |
| Abstract: | In this study the author performs prediction of company sales in a linear manner by incorporating transactional e-receipts data in large panels. The consistent and frequent updates of the datasets provide both granularity of consumer purchase trends and persistent signals of the company’s performance, and it allows estimation processes to happen in real time. Additionally, this paper documents the approach of using both disaggregated and aggregated data to predict and evaluate company performance in actual use cases for the capital markets. The results have major implications for investors that use alternative data as a trading strategy, and demonstrate how transactional e-receipts data can serve as a real time predictive tool. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6733.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.96 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/12214