In the current scope of economics, the management of client portfolios has become a considerable problem within financial institutions due to the amount of risk that goes into assigning assets. Various algorithmic models exist for solving these portfolio challenges; however, considerable research is lacking that further explains these design problems and provides applicable solutions to these imperative issues. Algorithms for Solving Financial Portfolio Design Problems: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of various programming models within the financial engineering field. While highlighting topics such as landscape analysis, breaking symmetries, and linear programming, this publication analyzes the quadratic constraints of current portfolios and provides algorithmic solutions to maximizing the full value of these financial sets. This book is ideally designed for financial strategists, engineers, programmers, mathematicians, banking professionals, researchers, academicians, and students seeking current research on recent mathematical advances within financial engineering.

As an ever-growing international business, Islamic banking has changed the face of economics in recent years. As more and more industries embrace Islamic principles, the industry will unquestionably influence modern economic practices and techniques across the globe. Growth and Emerging Prospects of International Islamic Banking is a collection of innovative research on the methods and applications of Islamic banking interests on a global economic scale. While highlighting topics including asset diversification, profit sharing, and financial reporting, this book is ideally designed for bankers, banking analysts, international business managers, financiers, industry professionals, economists, government officials, academicians, students, and researchers seeking current research on Islamic banking perspectives and approaches to finances.

The economic integration of Southeast Asia or ASEAN Economic Community (AEC) offers enormous opportunities for its members to develop and collectively collaborate with other economies. Combining the culture of the region with global business in an expanding digital atmosphere, however, has caused numerous challenges on an international scale. Due to the importance of this economic player in Asia, research on key topics including Islamic economics, Islamic finance, technology, and cultural issues in doing business are essential to understand the ASEAN competitive landscape and its relations with other countries. Economics, Business, and Islamic Finance in ASEAN Economics Community is a pivotal reference source that explores key issues and enhances understanding of business and economics in the ASEAN community and explores the collaboration between this community and Islamic finance and technology. While highlighting topics such as global business, smart manufacturing, and human resource management, this publication explores sustainable development practices as well as the methods of cultural appreciation in economics. This book is ideally designed for deans, heads of department, directors, politicians, policymakers, economists, corporate heads, senior general managers, managing directors, information technology directors and managers, libraries, academicians, researchers, and students.

Economics is an integral aspect to every successful society, yet basic financial practices have gone unchanged for decades. Analyzing unconventional finance methods can provide new ways to ensure personal financial futures on an individual level, as well as boosting international economies. Alternative Decision-Making Models for Financial Portfolio Management: Emerging Research and Opportunities is an essential reference source that discusses methods and techniques that make financial administration more efficient for professionals in economic fields. Featuring relevant topics such as mean-variance portfolio theory, decision tree analysis, risk protection strategies, and asset-liability management, this publication is ideal for academicians, students, economists, and researchers that would like to stay current on new and innovative methods to transform the financial realm.

The third book in the Great Minds in Finance series examines the pricing of securities and the risk/reward trade off through the legends, contribution, and legacies of Jacob Marschak, William Sharpe, Fischer Black and Myron Scholes, and Robert Merton, influencing both theory and practice, answering the question 'how do we measure risk?'

Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications. Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.

Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.