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Computational Intelligence Paradigms In Economic And Financial Decision Making
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Book Synopsis Computational Intelligence Paradigms in Economic and Financial Decision Making by : Marina Resta
Download or read book Computational Intelligence Paradigms in Economic and Financial Decision Making written by Marina Resta and published by Springer. This book was released on 2015-10-14 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
Book Synopsis Financial Decision Making Using Computational Intelligence by : Michael Doumpos
Download or read book Financial Decision Making Using Computational Intelligence written by Michael Doumpos and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.
Book Synopsis Perception-based Data Mining and Decision Making in Economics and Finance by : Ildar Batyrshin
Download or read book Perception-based Data Mining and Decision Making in Economics and Finance written by Ildar Batyrshin and published by Springer Science & Business Media. This book was released on 2007-03-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance.
Book Synopsis Computational Intelligence in Economics and Finance by : Paul P. Wang
Download or read book Computational Intelligence in Economics and Finance written by Paul P. Wang and published by Springer Science & Business Media. This book was released on 2007-07-11 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.
Author :Erricos John Kontoghiorghes Publisher :Springer Science & Business Media ISBN 13 :9781402008399 Total Pages :656 pages Book Rating :4.0/5 (83 download)
Book Synopsis Computational Methods in Decision-Making, Economics and Finance by : Erricos John Kontoghiorghes
Download or read book Computational Methods in Decision-Making, Economics and Finance written by Erricos John Kontoghiorghes and published by Springer Science & Business Media. This book was released on 2002-08-31 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria. Optimization is at the core of rational decision making. Even when the decision maker has more than one goal or there is significant uncertainty in the system, optimization provides a rational framework for efficient decisions. The Markowitz mean-variance formulation is a classical example. The first part of the book is on recent developments in optimization decision models for finance and economics. The first four chapters of this part focus directly on multi-stage problems in finance. Chapters 5-8 involve the use of worst-case robust analysis. Chapters 9-11 are devoted to portfolio optimization. The final four chapters are on transportation-inventory with stochastic demand; optimal investment with CRRA utility; hedging financial contracts; and, automatic differentiation for computational finance. The uncertainty associated with prediction and modeling constantly requires the development of improved methods and models. Similarly, as systems strive towards equilibria, the characterization and computation of equilibria assists analysis and prediction. The second part of the book is devoted to recent research in computational tools and models of equilibria, prediction, and pricing. The first three chapters of this part consider hedging issues in finance. Chapters 19-22 consider prediction and modeling methodologies. Chapters 23-26 focus on auctions and equilibria. Volatility models are investigated in chapters 27-28. The final two chapters investigate risk assessment and product pricing. Audience: Researchers working in computational issues related to economics, finance, and management science.
Book Synopsis Applications of Computational Intelligence in Data-Driven Trading by : Cris Doloc
Download or read book Applications of Computational Intelligence in Data-Driven Trading written by Cris Doloc and published by John Wiley & Sons. This book was released on 2019-10-31 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
Book Synopsis Computational Intelligence in Economics and Finance by : Paul P. Wang
Download or read book Computational Intelligence in Economics and Finance written by Paul P. Wang and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Book Synopsis Artificial Intelligence in Financial Markets by : Christian L. Dunis
Download or read book Artificial Intelligence in Financial Markets written by Christian L. Dunis and published by Springer. This book was released on 2016-11-21 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.
Author :Constantin Zopounidis Publisher :Springer Science & Business Media ISBN 13 :146154663X Total Pages :230 pages Book Rating :4.4/5 (615 download)
Book Synopsis Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering by : Constantin Zopounidis
Download or read book Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering written by Constantin Zopounidis and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering. Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists.
Book Synopsis Computational Economics by : Shu-Heng Chen
Download or read book Computational Economics written by Shu-Heng Chen and published by IGI Global. This book was released on 2006-01-01 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book identifies the economic as well as financial problems that may be solved efficiently with computational methods and explains why those problems should best be solved with computational methods"--Provided by publisher.
Download or read book Shifting Paradigms written by Zia Qureshi and published by Brookings Institution Press. This book was released on 2022-01-11 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing the big questions about how technological change is transforming economies and societies Rapid technological change—likely to accelerate as a consequence of the COVID-19 pandemic—is reshaping economies and how they grow. But change also causes disruption, creates winners and losers, and produces social stress. This book examines the challenges of digital transformation and suggests how creative policies can make it more productive and inclusive. Shifting Paradigms is the second book on technological change produced by a joint research project of the Brookings Institution and the Korea Development Institute. Contributors are experts from the United States, Europe, and Korea. The first volume, Growth in a Time of Change, was published by Brookings in February 2020. The book's underlying thesis is that the future is arriving faster than expected. Long-accepted paradigms about economic growth are changing as digital technologies transform markets and nearly every aspect of business and work. Change will only intensify with advances in artificial intelligence and other innovations. Investors, business leaders, workers, and public officials face many questions. Is rising market concentration inevitable with the new technologies or can their benefits be more widely shared? How can the promise of FinTech be captured while managing risks? Should workers fear the new automation? Are technology-driven shifts in business and work causing income inequality to rise? How should public policy respond? Shifting Paradigms addresses these questions in an engaging manner for anyone interested in understanding how the economic and social agenda is being transformed by today's winds of change.
Book Synopsis Artificial Intelligence and Financial Behaviour by : Riccardo Viale
Download or read book Artificial Intelligence and Financial Behaviour written by Riccardo Viale and published by Edward Elgar Publishing. This book was released on 2023-06-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following rapid technological advancements that have taken place throughout the late twentieth and early twenty-first centuries, this intriguing book provides a dynamic agenda for the study of artificial intelligence (AI) within finance. Through an in-depth consideration of the use of AI, it utilizes case study examples to investigate AI’s effectiveness within investment and banking.
Book Synopsis Operations Research Applications in Health Care Management by : Cengiz Kahraman
Download or read book Operations Research Applications in Health Care Management written by Cengiz Kahraman and published by Springer. This book was released on 2017-12-08 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Book Synopsis Computational Intelligence in Economics and Finance by : Paul P. Wang
Download or read book Computational Intelligence in Economics and Finance written by Paul P. Wang and published by Springer. This book was released on 2009-09-02 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.
Book Synopsis Personality Traits and Drug Consumption by : Elaine Fehrman
Download or read book Personality Traits and Drug Consumption written by Elaine Fehrman and published by Springer. This book was released on 2019-04-26 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs. The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.
Book Synopsis Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security by : Kunjumuhammed, Siraj Kariyilaparambu
Download or read book Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security written by Kunjumuhammed, Siraj Kariyilaparambu and published by IGI Global. This book was released on 2024-08-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.
Book Synopsis ECISM 2017 11th European Conference on Information Systems Management by :
Download or read book ECISM 2017 11th European Conference on Information Systems Management written by and published by Academic Conferences and publishing limited. This book was released on 2017-09-14 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt:
