Country risk evaluation. Methods and applications
type: Item
instance of: scholarly article
title: Country risk evaluation. Methods and applications
zbMATH Open document ID: 1154.91003
DOI: 10.1007/978-0-387-76680-5
author: Kyriaki Kosmidou
author: Michael Doumpos
author: Constantin Zopounidis
published in: Springer Optimization and Its Applications
publication date: 2008-05-29T00:00:00Z
review text: Country risk analysis has been one of the major research topics within the fields of economics and finance during the past years, especially, after the recent crises in Asia and South America. In a general sense, country risk is often defined as the probability that a country will fail to generate enough foreign exchange in order to pay its obligation to the foreign creditors. This book reviews the existing research in country risk analysis and presents several modelling methods for developing country risk assessment models. A special emphasis is placed on the use of MCDA (MultiCriteria Decision Aid) methods, because the classic statistical and other methods applied in the past were not always fit to respond efficiently and sufficiently to the country risk assessment problem. The first chapter presents a review of statistical methods applied to country risk assessment such as discriminant analysis, factor analysis, regression analysis, regression trees, logit analysis, principal component analysis. The principal issues in statistical country risk analysis are presented in this chapter. Moreover, this chapter describes briefly new methodological tools for country risk assessment. Among them MCDA, an advanced field of operations research, seems to be well-suited to the analysis of country risk. The second chapter makes a presentation of MCDA classification me\-thods, statistical and econometric classification me\-thods, and non-parametric techniques. It describes the general characteristics of the methods as well as the model development process for each of them. The third chapter of this book presents several real-world applications of the methods described in the second chapter. Using the MCDA methodologies it is possible to develop multi-criteria decision models in order to rank a set of countries from the less to the more risky ones. Finally, chapter 4 proposes future research directions for the country risk assessment problem.
Mathematics Subject Classification ID: 91-02
Mathematics Subject Classification ID: 90-02
Mathematics Subject Classification ID: 91B74
Mathematics Subject Classification ID: 91B82
Mathematics Subject Classification ID: 91B30
zbMATH DE Number: 5281025
zbMATH Keywords: country risk
zbMATH Keywords: statistical method
zbMATH Keywords: multicriteria decision aid method
zbMATH Keywords: econometric classification method
zbMATH Keywords: non-parametric technique
reviewed by: Jonas Šiaulys
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-0-387-76680-5
OpenAlex ID: W584831949
description: scientific article; zbMATH DE number 5281025