Operational Tools in the Management of Financial Risks

  • Constantin Zopounidis

Table of contents

  1. Front Matter
    Pages i-xv
  2. Multivariate Data Analysis and Multicriteria Analysis in Portfolio Selection

    1. Front Matter
      Pages 1-1
    2. Dimitris Karapistolis, Costas Siriopoulos, Iannis Papadimitriou, Raphael Markellos
      Pages 3-15
    3. Antonino Scarelli
      Pages 17-30
  3. Multivariate Data Analysis and Multicriteria Analysis in Business Failure, Corporate Performance and Bank Bankruptcy

    1. Front Matter
      Pages 57-57
    2. Erik M. Vermeulen, Jaap Spronk, Nico van der Wijst
      Pages 59-73
    3. Yannis Caloghirou, Alexandros Mourelatos, Lefteris Papagiannakis
      Pages 75-89
    4. Alain Couturier, Bernard Fioleau
      Pages 91-106
    5. Constantin Zopounidis, Augoustinos I. Dimitras, Loic Le Rudulier
      Pages 107-119
    6. Salvatore Greco, Benedetto Matarazzo, Roman Slowinski
      Pages 121-136
    7. Jyoti Gupta, Philippe Spieser
      Pages 163-174
  4. Linear and Stochastic Programming in Portfolio Management

    1. Front Matter
      Pages 175-175
    2. Martin R. Holmer, Dafeng Yang, Stavros A. Zenios
      Pages 177-196
    3. Z. Chen, G. Consigli, M. A. H. Dempster, N. Hicks-Pedrón.
      Pages 197-211
    4. Les Clewlow, Stewart Hodges, Ana Pascoa
      Pages 237-248
  5. Fuzzy Sets and Artificial Intelligence Techniques in Financial Decisions

    1. Front Matter
      Pages 249-249
    2. Jaime Gil-Aluja
      Pages 251-271
    3. Enrique López-González, Cristina Mendaña-Cuervo, Miguel A. Rodríguez.-Fernández
      Pages 273-290
    4. Themistocles Politof, Dan Ulmer
      Pages 291-305
  6. Multicriteria Analysis in Country Risk Evaluation

    1. Front Matter
      Pages 307-307
    2. Michael Doumpos, Constantin Zopounidis, Thomas Anastassiou
      Pages 309-326
  7. Back Matter
    Pages 327-327

About this book


This book presents a set of new, innovative mathematical modeling tools for analyzing financial risk. Operational Tools in the Management of Financial Risks presents an array of new tools drawn from a variety of research areas, including chaos theory, expert systems, fuzzy sets, neural nets, risk analysis, stochastic programming, and multicriteria decision making. Applications cover, but are not limited to, bankruptcy, credit granting, capital budgeting, corporate performance and viability, portfolio selection/management, and country risk.
The book is organized into five sections. The first section applies multivariate data and multicriteria analyses to the problem of portfolio selection. Articles in this section combine classical approaches with newer methods. The second section expands the analysis in the first section to a variety of financial problems: business failure, corporate performance and viability, bankruptcy, etc. The third section examines the mathematical programming techniques including linear, dynamic, and stochastic programming to portfolio managements. The fourth section introduces fuzzy set and artificial intelligence techniques to selected types of financial decisions. The final section explores the contribution of several multicriteria methodologies in the assessment of country financial risk. In total, this book is a systematic examination of an emerging methodology for managing financial risk in business.


Analysis Arbitrage Budget Budgeting Chaos Investment Stochastic Programming algorithm algorithms data analysis genetic algorithms model modeling optimization programming

Editors and affiliations

  • Constantin Zopounidis
    • 1
  1. 1.Dept. of Production Engineering and Management Decision Support Systems LaboratoryTechnical University of CreteChaniaGreece

Bibliographic information