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Country Risk Evaluation

Methods and Applications

  • Book
  • © 2008

Overview

  • Develops a unique point in the development of a country risk evaluation model based on several classification techniques emerging from different research areas, i.e., multicriteria methodology, neural networks, and artificial intelligence
  • Includes an extensive bibliography
  • Utilizes a statistical approach and multicriteria approach to the country risk
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 15)

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Table of contents (4 chapters)

Keywords

About this book

Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance. Written by experts in the fields of multicriteria methodology, credit risk assessment, operations research, and financial management, this book develops a comprehensive framework for evaluating models based on several classification techniques that emerge from different theoretical directions. This book compares different statistical and data mining techniques, noting the advantages of each method, and introduces new multicriteria methodologies that are important to country risk modeling.

Key topics include: (1) A review of country risk definitions and an overview of the most recent tools in country risk management, (2) In-depth analysis of statistical, econometric and non-parametric classification techniques, (3) Several real-world applications of the methodologies described throughout the text, (4) Future research directions for country risk assessment problems.

This work is a useful toolkit for economists, financial managers, bank managers, operations researchers, management scientists, and risk analysts. Moreover, the book can also be used as a supplementary text for graduate courses in finance and financial risk management.

Reviews

From the reviews:

"This book reviews the existing research in country risk analysis and presents several modeling methods. … this book is mostly for academic researchers, but non-academics in relevant fields could also benefit." (Youngna Choi, Mathematical Reviews, Issue 2009 g)

Editors and Affiliations

  • Department of E conomics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Kyriaki Kosmidou

  • Department of Production Engineering and Management, Technical University of Crete, Chania, Greece

    Michael Doumpos

  • Department of Production Engineering and Management Financial Engineering Laboratory, Technical University of Crete, Chania, Greece

    Constantin Zopounidis

Bibliographic Information

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