World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
32
Citations
6882
World Ranking
2600
National Ranking
419

Economics and Finance

D-Index
33
Citations
7665
World Ranking
3197
National Ranking
368

Research.com Recognitions

  • 2008 - Fellow of the Royal Society of Edinburgh
  • Fellow of the Academy of Social Sciences, United Kingdom
  • Fellow of the Academy of Social Sciences, United Kingdom
  • Fellow of the Academy of Social Sciences, United Kingdom
  • Fellow of the Academy of Social Sciences, United Kingdom

Overview

Jonathan Crook is affiliated with the University of Edinburgh in the United Kingdom. Their research predominantly focuses on the intersection of economics, econometrics, and finance, with a total of 33 publications in this main field. Within this broad domain, Crook has concentrated work on finance, accounting, economics and econometrics, general economics, econometrics and finance, as well as statistics and probability.

Their research addresses a range of topics related to financial systems and economic policy. Key areas of study include monetary policy and economic impact, financial distress and bankruptcy prediction, credit risk and financial regulations, housing market and economics, banking stability, regulation, efficiency, insurance, mortality, demography, risk management, and imbalanced data classification techniques.

Crook has contributed to various scholarly journals, with frequent publications in:

  • Journal of the Operational Research Society
  • European Journal of Operational Research
  • Pacific-Basin Finance Journal
  • Expert Systems with Applications
  • Decision Support Systems

Recent papers authored or co-authored by Crook include:

  • "Predicting the risk of financial distress using corporate governance measures," 2020, Pacific-Basin Finance Journal
  • "Enhancing credit scoring with alternative data," 2020, Expert Systems with Applications
  • "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," 2020, European Journal of Operational Research
  • "Joint models for longitudinal and discrete survival data in credit scoring," 2022, European Journal of Operational Research
  • "Spatial contagion in mortgage defaults: A spatial dynamic survival model with time and space varying coefficients," 2020, European Journal of Operational Research

Crook collaborates frequently with several co-authors, including:

  • Galina Andreeva
  • Raffaella Calabrese
  • Victor Medina-Olivares
  • Finn Lindgren
  • Zheqi Wang

In recognition of contributions to their field, Crook was named a Fellow of the Royal Society of Edinburgh in 2008.

Best Publications

  • Credit Scoring and Its Applications

    Lyn C. Thomas;Jonathan Crook;David Edelman

  • A comparison of neural networks and linear scoring models in the credit union environment

    Vijay S. Desai;Jonathan N. Crook;George A. Overstreet

  • Credit Scoring and its Applications

    Jonathan Crook

  • Recent developments in consumer credit risk assessment

    Jonathan N. Crook;David B. Edelman;Lyn C. Thomas

  • Support vector machines for credit scoring and discovery of significant features

    Tony Bellotti;Jonathan Crook

  • Credit scoring with macroeconomic variables using survival analysis

    Tony Bellotti;Jonathan Crook

  • Credit Scoring Models in the Credit Union Environment Using Neural Networks and Genetic Algorithms

    Vijay S. Desai;Daniel G. Conway;Jonathan N. Crook;George A. Overstreet

  • Not if but when will borrowers default

    John Banasik;Jonathan N. Crook;Lyn C. Thomas

  • Credit scoring using neural and evolutionary techniques

    M. B. Yobas;J. N. Crook;P. Ross

  • The demand for household debt in the USA: evidence from the 1995 Survey of Consumer Finance

    Jonathan Crook

  • Loss given default models incorporating macroeconomic variables for credit cards

    Tony Bellotti;Jonathan Crook

  • Sample selection bias in credit scoring models

    John Banasik;Jonathan Crook;Lyn C. Thomas

  • Forecasting and stress testing credit card default using dynamic models

    Tony Bellotti;Jonathan Crook

  • Firm-level determinants of export intensity

    B. B. Schlegelmilch;J. N. Crook

  • Predicting the risk of financial distress using corporate governance measures

    Zhiyong Li;Zhiyong Li;Jonathan Crook;Galina Andreeva;Ying Tang

  • Does reject inference really improve the performance of application scoring models

    Jonathan Crook;John Banasik

  • Support vector regression for loss given default modelling

    Xiao Yao;Jonathan Crook;Galina Andreeva

  • Enhancing credit scoring with alternative data

    Viani Biatat Djeundje;Jonathan Crook;Raffaella Calabrese;Mona Hamid

  • Dynamic prediction of financial distress using Malmquist DEA

    Zhiyong Li;Jonathan Crook;Galina Andreeva

  • Reject inference, augmentation, and sample selection

    John Banasik;Jonathan Crook

  • Credit Scoring and Its Applications, Second Edition

    Lyn Thomas;Jonathan Crook;David Edelman

  • Time varying and dynamic models for default risk in consumer loans

    Jonathan Crook;Tony Bellotti

Frequent Co-Authors

Lyn C. Thomas
Lyn C. Thomas University of Southampton
Peter Ross
Peter Ross Edinburgh Napier University
Ana-Maria Fuertes
Ana-Maria Fuertes City, University of London

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