Prediction of financial distress for multinational corporations: Panel estimations across countries-Reference-Cited by-同舟云学术

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Prediction of financial distress for multinational corporations: Panel estimations across countries

Published:2019-03-21 Issue:39 Volume:51 Page:4255-4269
ISSN:0003-6846
Container-title:Applied Economics
language:en
Short-container-title:Applied Economics

Author:

Apergis Nicholas¹²,Bhattacharya Mita³,Inekwe John⁴

Affiliation:

1. Department of Banking and Financial Management, University of Piraeus, Piraeus, Greece

2. School of Business, Law and Social Sciences, University of Derby, UK

3. Department of Economics, Monash University, Caulfield, Australia

4. Centre for Financial Risk, Macquarie University, Sydney, Australia

Publisher

Informa UK Limited

Subject

Economics and Econometrics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00036846.2019.1589646

Reference47 articles.

1. Comparing the performance of market-based and accounting-based bankruptcy prediction models

2. The use of financial ratio models to help investors predict and interpret significant corporate events

3. FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY

4. Foreign direct investment in industrial research and development: A study of German MNCs

5. Anatomy of Financial Distress: An Examination of Junk-Bond Issuers

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1. Multinational corporations and share pledging of the controlling shareholder;International Review of Financial Analysis;2024-10

2. Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system;Journal of Forecasting;2023-11-27

3. Financial distress prediction in private firms: developing a model for troubled debt restructuring;Journal of Applied Accounting Research;2023-11-20

4. Has the COVID-19 pandemic converged across countries?;Empirical Economics;2022-10-21

5. Financial distress prediction model: The effects of corporate governance indicators;Journal of Forecasting;2020-04-22

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