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Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.
The prosperity and stability of any economic structure is reliant upon a foundation of secure systems that regulate the movement of money across the globe. These structures have become an integral part of contemporary society by reducing monetary risk and increasing financial security. Analyzing the Economics of Financial Market Infrastructures is a pivotal reference source for the latest scholarly research on the current developments in financial systems and how these processes are evolving due to new regulations and technical advances. Featuring extensive coverage on a range of relevant topics on payment systems, central securities depositories, central counterparties, and trade repositories, this book is an essential reference source for professionals in the financial sector, analysts, IT professionals, and academicians concerned with emerging research on financial markets. This book features timely, research-based chapters on a variety of crucial topics including, but not limited to, payment timing, multi-layer networks, transaction simulations, payment system analysis, and regulation of financial marketplaces.
Social simulation can be a difficult discipline to encompass fully. There are many methods, models, directions, and theories that can be discussed and applied to various social sciences. Anthropology, sociology, political science, economy, government, and management can all benefit from social simulation. Interdisciplinary Applications of Agent-Based Social Simulation and Modeling aims to bring a different perspective to this interdisciplinary topic. This book presents current discussions and new insights on social simulation as a whole, focusing on its dangers, pitfalls, deceits, and challenges. This book is an essential reference for researchers in this field, professionals using social simulation, and even students studying this discipline.
One of the most powerful tools available to an organization is its ability to create, maintain, and share knowledge and information vital to the success of the organization. From Manufacture to Mindfacture: A Relational Viable Systems Theory explores the concept of the organizational structure through the lens of the viable systems approach. Focusing particularly on human interaction and collaboration within a business setting, this research-based publication is ideally designed for use by business managers, social theorists, upper-level students, and researchers.
Lauded as a driver of economic growth, entrepreneurship and small business ventures have become increasingly attractive to countries looking to boost employment rates, productivity, and innovation. The manifestation of entrepreneurship varies from country to country, and what works for one may not work for the next. Comparative Case Studies on Entrepreneurship in Developed and Developing Countries presents the challenges and opportunities that entrepreneurs in different countries face at various developmental stages. Through in-depth studies, this premier reference work seeks to provide examples of successful applications of an elusive concept that has helped many countries move up the developmental ladder, a topic relevant to researchers and academicians working in social and behavioral sciences, economists, and business professionals.
Globalization, accelerated by information technologies, has increased the speed of business transactions and has reduced the distances between international businesses. This growth has transformed the realm of foreign investment in countries around the world, calling for a methodological approach to planning feasible capital investment proposals in general and foreign direct investment projects. Planning and Analyzing Foreign Direct Investment Projects: Emerging Research and Opportunities is a pivotal reference source that provides a systems approach to investment projects in a globalized and open society. While highlighting topics such as consumer analysis, competitive strategy, and market analysis, this publication explores the profitability and feasibility of international investments, as well as the risks and resources associated with strategic project planning. This book is ideally designed for business managers, entrepreneurs, researchers, academicians, graduate students, policymakers, investors, and project managers seeking current research on planning, analyzing, and evaluating investment projects.
As there is a vast amount of information to consider when offering quality services, organizations have developed techniques for identifying risk factors to be taken into consideration when constructing effective business strategies. Developing Business Strategies and Identifying Risk Factors in Modern Organizations presents new methodologies currently being utilized to formulate and solve strategic issues in order to escape the jeopardy of possible business risks. By highlighting a multitude of sciences and their influences on modern organizations; this book is an essential reference for decision makers and researchers in business, industry, government, and academia.
Current research often highlights the importance of financial markets as well as financial system development. However, the current literature in this field still fails to adequately explain the relationship between financial market and macroeconomic development. Post-Keynesian Empirical Research and the Debate on Financial Market Development integrates the concept of financial intermediaries with Post-Keynesian macroeconomic modeling to discuss the relationship between financial markets and systems and macroeconomic development. Discussing key macroeconomic variables such as investment, savings, and productivity growth, this timely resource is essential for students, academicians, as well as finance and economics professionals interested in uncovering the latest research in this field.
As a rapidly rising force in the global market, Asian countries hold opportunities for growth and development. However, in order to successfully gain entry into this new part of the market, it will first be necessary to understand the motives and background behind Asian economies. Asian Business and Management Practices: Trends and Global Considerations analyzes the various strategies found in the Asian economic market. Showcasing a broad range of countries in Southeast Asia in addition to China and India, this publication is a broad, widely encompassing resource for academics, PhD students, experts, policymakers, and government officials interested in understanding the background and applications behind business success in Asia.
Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance. Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used. To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in finance. Trading depth for readability, AI for Finance will help readers decide whether to invest more time into the subject.