Bøger af Constantin Zopounidis

This book gathers selected high-quality papers presented at the 31st European Conference on Operational Research, which was held in Athens, Greece on June 11-14, 2021.It highlights the latest advances in the application of operations research (OR) to technology-driven areas in business, finance, and economics, covering both theoretical and methodological developments, as well as real-world case studies. It also explores the connections between OR and other analytical disciplines, such as soft computing and computer science, which can promote the development of new decision support technologies.

In the present economic, political, societal and environmental landscape, which is dominated by the COVID-19 pandemic, the emergence of challenges and issues that demand immediate and urgent responses is more intense than ever. Policymakers, international organizations, governmental and non-governmental institutions around the globe are seeking effective and sustainable policies, as they try to tackle far-reaching issues that affect all aspects of the economy and agriculture, including the food sector. In this context, this book presents new modelling approaches and their application to complex problems in the agro-food chain in order to address today's pressing food policy issues. The respective chapters showcase national and regional studies on sustainable communities, rural environments and ecosystems. Taken together, they offer a valuable reference guide for scholars and practitioners alike."e;

Further, it presents some of the most common methodologies for statistical analysis and mathematical modeling, and discusses in detail ten examples that explain and show "hands-on" how operational research can be used in key decision-making processes at enterprises in the agricultural food and environmental industries.

Country risk evaluation is one of the major research topics in economics and finance. This book develops a comprehensive framework for evaluating models based on several classification techniques that emerge from different theoretical directions.

Discusses a fresh approach to the classification problem following the decision support orientation of multicriteria decision aid. This book reviews the research on the development of classification methods, investigating the corresponding model development procedures. It is suitable for researchers and professionals working in management science.

Therefore, there is a lack in the existing literature of a comprehensive text book that combines both the concepts of bank ALM and goal programming techniques and illustrates the contribution of goal programming techniques to bank ALM.

This book presents an innovative, integrated methodological approach to the construction and selection of equity portfolios. The text integrates stochastic methods for portfolio comparisons to offer a unified model for decision making in portfolio management.

This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems.

Based on an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring.

This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing.

A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in todayΓÇ▓s uncertain world of globalization, market volatility, and geoΓÇôpolitical crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.

The changes in the technological and business environment have complicated the nature of the decision-making process in real-world problems, thus motivating the development of new operations research (OR) methodologies. This book presents the advances to the theory of multicriteria analysis, covering its major aspects.

This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management.

This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems.

This book provides a new point of view on the subject of the management of uncertainty. It covers a wide variety of both theoretical and practical issues involving the analysis and management of uncertainty in the fields of finance, management and marketing.

This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods. The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial management.