Financial Data for Paper Default Forecasting

Published: 12 December 2024| Version 1 | DOI: 10.17632/8pddfk9y9h.1
Contributor:
Michael Peng

Description

The files stored here are : 1) raw data in Excel (Name : Financial Data of all firms.xlsx) , 2) source code (in Python), name "ensemble_learning.ipynb and 3) Read Me file associated with the Source code---all were used to support the research paper " Forecasting China Bond Default with Severe Class-Imbalanced Data: A Simple Learning Model with Causal Inference " , submitted to Economic Modeling. i) The majority of the raw data were sourced from East Money, one major financial data vendor in China; Some variables were directly taken from the raw data (e.g. standard financial metrics); some were computed ones. All are organized and stored in the Excel files attached ii) The Python code takes the data file as inputs, with each column being the

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Categories

Corporate Finance, Credit Market

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