Financial Decision Making Using Computational Intelligence

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Financial Decision Making Using Computational Intelligence

Author : Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 41,5 Mb
Release : 2012-07-23
Category : Business & Economics
ISBN : 9781461437734

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Financial Decision Making Using Computational Intelligence by Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos Pdf

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.

Computational Intelligence Paradigms in Economic and Financial Decision Making

Author : Marina Resta
Publisher : Springer
Page : 172 pages
File Size : 44,5 Mb
Release : 2015-10-14
Category : Technology & Engineering
ISBN : 9783319214405

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Computational Intelligence Paradigms in Economic and Financial Decision Making by Marina Resta Pdf

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.

Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering

Author : Constantin Zopounidis,Michael Doumpos
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 53,9 Mb
Release : 2013-11-27
Category : Computers
ISBN : 9781461546634

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Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering by Constantin Zopounidis,Michael Doumpos Pdf

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.

Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Page : 805 pages
File Size : 40,8 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9783030820145

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko Pdf

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science papers which include the results of research concerning the current directions in the fields of data mining, machine learning, and decision making. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Complex Systems and Processes" contains of 26 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 13 papers. There are 15 papers in the third section "Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Perception-based Data Mining and Decision Making in Economics and Finance

Author : Ildar Batyrshin,Leonid Sheremetov,Lofti A. Zadeh
Publisher : Springer
Page : 367 pages
File Size : 45,5 Mb
Release : 2007-04-05
Category : Technology & Engineering
ISBN : 9783540362470

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Perception-based Data Mining and Decision Making in Economics and Finance by Ildar Batyrshin,Leonid Sheremetov,Lofti A. Zadeh Pdf

The primary goal of this book is to present to the scientific and management communities a selection of applications using more recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve the economics and financial problems. 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. Decision making in the present world is becoming more and more sophisticated, time consuming and difficult for human beings who require more and more computational support. This book addresses the significant increase on research and applications of Soft Computing and Computing with Words and Perceptions for decision making in Economics and Finance in recent years. Decision making is heavily based on information and knowledge usually extracted from the analysis of large amounts of data. Data mining techniques enabled with the capability to integrate human experience could be used for a more realistic business decision support. Computing with Words and Perceptions introduced by Lotfi Zadeh, can serve as a basis for such extension of traditional data mining and decision making systems. Fuzzy logic as a main constituent of CWP gives powerful tools for modeling and processing linguistic information defined on numerical domain.

Computational Methods in Decision-Making, Economics and Finance

Author : Erricos John Kontoghiorghes,B. Rustem,S. Siokos
Publisher : Springer Science & Business Media
Page : 626 pages
File Size : 49,5 Mb
Release : 2013-11-11
Category : Business & Economics
ISBN : 9781475736137

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Computational Methods in Decision-Making, Economics and Finance by Erricos John Kontoghiorghes,B. Rustem,S. Siokos Pdf

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.

Computational Management

Author : Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain
Publisher : Springer Nature
Page : 682 pages
File Size : 43,8 Mb
Release : 2021-05-29
Category : Technology & Engineering
ISBN : 9783030729295

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Computational Management by Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain Pdf

This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Artificial Intelligence in Economics and Finance Theories

Author : Tankiso Moloi,Tshilidzi Marwala
Publisher : Springer Nature
Page : 131 pages
File Size : 45,5 Mb
Release : 2020-05-07
Category : Computers
ISBN : 9783030429621

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Artificial Intelligence in Economics and Finance Theories by Tankiso Moloi,Tshilidzi Marwala Pdf

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

Lecture Notes in Computational Intelligence and Decision Making

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 42,7 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Applications of Computational Intelligence in Data-Driven Trading

Author : Cris Doloc
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 53,5 Mb
Release : 2019-10-29
Category : Business & Economics
ISBN : 9781119550501

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Applications of Computational Intelligence in Data-Driven Trading by Cris Doloc Pdf

“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.

Bio-Inspired Credit Risk Analysis

Author : Lean Yu,Shouyang Wang,Kin Keung Lai,Ligang Zhou
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 53,6 Mb
Release : 2008-04-24
Category : Business & Economics
ISBN : 9783540778035

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Bio-Inspired Credit Risk Analysis by Lean Yu,Shouyang Wang,Kin Keung Lai,Ligang Zhou Pdf

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

Lecture Notes in Computational Intelligence and Decision Making

Author : Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya
Publisher : Springer Nature
Page : 743 pages
File Size : 44,8 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9783030542153

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Lecture Notes in Computational Intelligence and Decision Making by Sergii Babichev,Volodymyr Lytvynenko,Waldemar Wójcik,Svetlana Vyshemyrskaya Pdf

This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference “Intellectual Systems of Decision-Making and Problems of Computational Intelligence” was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: “Analysis and Modeling of Complex Systems and Processes,” “Theoretical and Applied Aspects of Decision-Making Systems” and “Computational Intelligence and Inductive Modeling.” The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.

Computational Economics: A Perspective from Computational Intelligence

Author : Chen, Shu-Heng
Publisher : IGI Global
Page : 318 pages
File Size : 55,5 Mb
Release : 2005-11-30
Category : Business & Economics
ISBN : 9781591406518

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Computational Economics: A Perspective from Computational Intelligence by Chen, Shu-Heng Pdf

"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.

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS

Author : Ruan Da
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 49,8 Mb
Release : 2010-06-01
Category : Computers
ISBN : 9789491216299

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COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS by Ruan Da Pdf

In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.

Business Applications and Computational Intelligence

Author : Kevin E. Voges,Nigel Pope
Publisher : IGI Global
Page : 481 pages
File Size : 52,6 Mb
Release : 2006-01-01
Category : Computers
ISBN : 9781591407041

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Business Applications and Computational Intelligence by Kevin E. Voges,Nigel Pope Pdf

"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.