Focusing on the management of uncertainty, this book offers a fresh perspective that blends theoretical insights with practical applications. It explores a range of issues relevant to finance, management, and marketing, providing readers with tools and strategies to effectively analyze and navigate uncertainty in these fields.
In recent decades, globalization, heightened competition, and rapid socio-economic and technological changes have significantly impacted global economic, financial, and business landscapes. Banking institutions worldwide now face new challenges and risks, alongside emerging business opportunities. The sustainable development of the banking system is crucial not only for the institutions themselves but also for the broader business and economic environment at both regional and international levels. The continuous development of innovative banking products to meet evolving customer needs—across firms, organizations, and individuals—highlights the substantial changes within the banking industry over the past twenty years. Establishing new products and processes requires effective management and is intertwined with various disciplines, including advanced quantitative analysis for risk management, information technology, and quality management. These approaches are essential, as traditional empirical methods are increasingly inadequate to navigate the complexities of the modern banking sector. Embracing these innovative strategies will be vital for banking institutions to thrive in an ever-evolving landscape.
Focusing on multicriteria decision aid, this book presents a novel approach to the classification problem. It reviews existing research on classification method development, examining model procedures and analyzing performance in both experimental and real-world financial scenarios. This comprehensive analysis aims to enhance decision support systems and improve classification techniques in practical applications.
Exploring the intersection of financial engineering and multicriteria intelligent decision aiding systems, this book reviews current research and evaluates the effectiveness of innovative tools designed to tackle complex financial decision-making challenges. It offers a fresh perspective on how these systems can enhance problem-solving in the financial sector, making it a valuable resource for professionals and researchers alike.
Focusing on the fundamentals and techniques of multiple criteria decision making in finance, this book explores the intricacies of financial decisions, financial modeling, risk management, and financial engineering. It covers essential topics such as portfolio management, banking management, and credit scoring. Additionally, the text provides insights into further applications of multi-criteria analysis in finance and discusses future perspectives for its use in the sector.
Focusing on the critical area of country risk evaluation, this book presents a detailed framework for assessing various models through multiple classification techniques. It draws from diverse theoretical perspectives, offering insights that bridge economics and finance. The comprehensive approach aims to enhance understanding and application of risk evaluation methodologies, making it a valuable resource for researchers and practitioners in the field.
Focusing on the intersection of bank asset-liability management (ALM) and goal programming techniques, this book fills a significant gap in the literature. Unlike other works that either address general methodologies or fail to integrate these specific concepts, it offers a comprehensive exploration of how goal programming can be applied to bank ALM. This unique approach not only enhances understanding but also illustrates the practical contributions of goal programming within the banking sector.
This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.
This book focuses on the 19th Meeting of the EURO Working Group on Financial Modelling, held in Chania, Crete, Greece, from November 28-30, 1996. Established in September 1986 in Lisbon, the Working Group's primary interest lies in developing financial models to address challenges faced by financial managers. Its objectives include providing an international forum for sharing information and experiences, promoting research in financial modelling (including new techniques, methodologies, and empirical studies), enhancing the connection between financial theory and decision-making practice, and fostering collaboration with universities and financial institutions across Europe. The book aims to present new operational approaches to financial modelling, incorporating theoretical and practical perspectives. It is organized into nine chapters, with the first chapter discussing emerging trends in financial modelling, featuring invited papers by Gil-Aluja and Pardalos. The second chapter addresses high-performance computing in finance, highlighting a European Union project involving several members of the Working Group, including Spronk, Zenios, and Dempster.