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Dataset for Financial Performance and Machine Learning Analysis: Evidence from Mongolian Firms

By Tsolmon Sodnomdavaa · as credited by the source

Published 2026-03-18

Deposited on Zenodo doi:10.5281/zenodo.19084681 licence cc-by-4.0 1 file, 0.2 MB
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About this dataset

This dataset provides firm-level panel data used in the study “Financial Flexibility and Firm Performance: Evidence from Machine Learning Models”. The dataset is designed to support empirical analysis of the impact of financial flexibility on firm performance using both econometric and machine learning approaches. It includes a comprehensive set of variables such as firm size, leverage ratio, liquidity measures, profitability indicators, and other financial characteristics. The data were collected from publicly available financial statements and processed into a structured panel da …

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Cite

@dataset{sodnomdavaa2026,
  title     = {Dataset for Financial Performance and Machine Learning Analysis: Evidence from Mongolian Firms},
  author    = {Sodnomdavaa, Tsolmon},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.19084681},
  url       = {https://doi.org/10.5281/zenodo.19084681}
}

Research that uses it

No published research on E2ER uses this dataset yet.

Description

Data model
Discipline
EconomicsFinance
Method family
Empirical (quantitative)
Design
not specified
Research stage
Data acquisition
Contributors
Tsolmon Sodnomdavaa (Data curation)
Usage
not used in published research yet
Source
Zenodo
Record
dataset:zenodo/19084681 · JSON

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