Artificial Intelligence Learning And Computation In Economics And Finance

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Artificial Intelligence, Learning and Computation in Economics and Finance

Ragupathy Venkatachalam
Artificial Intelligence Learning and Computation in Economics and Finance Book PDF

Author : Ragupathy Venkatachalam
Publisher : Springer Nature
Page : 331 pages
File Size : 47,9 Mb
Release : 2023-02-15
Category : Science
ISBN : 9783031152948

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Artificial Intelligence, Learning and Computation in Economics and Finance by Ragupathy Venkatachalam Pdf

This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.

The Essentials of Machine Learning in Finance and Accounting

Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin
The Essentials of Machine Learning in Finance and Accounting Book PDF

Author : Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin
Publisher : Routledge
Page : 275 pages
File Size : 41,6 Mb
Release : 2021-06-20
Category : Business & Economics
ISBN : 9781000394122

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The Essentials of Machine Learning in Finance and Accounting by Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin Pdf

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Machine Learning for Economics and Finance in TensorFlow 2

Isaiah Hull
Machine Learning for Economics and Finance in TensorFlow 2 Book PDF

Author : Isaiah Hull
Publisher : Apress
Page : 368 pages
File Size : 53,8 Mb
Release : 2020-11-26
Category : Computers
ISBN : 1484263723

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Machine Learning for Economics and Finance in TensorFlow 2 by Isaiah Hull Pdf

Work on economic problems and solutions with tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uninterested in either causality or parsimony. That leaves a gap for both students and professionals in the economics industry without a standard reference. This book focuses on economic problems with an empirical dimension, where machine learning methods may offer something of value. This includes coverage of a variety of discriminative deep learning models (DNNs, CNNs, RNNs, LSTMs, the Transformer Model, etc.), generative machine learning models, random forests, gradient boosting, clustering, and feature extraction. You'll also learn about the intersection of empirical methods in economics and machine learning, including regression analysis, text analysis, and dimensionality reduction methods, such as principal components analysis. TensorFlow offers a toolset that can be used to setup and solve any mathematical model, including those commonly used in economics. This book is structured to teach through a sequence of complete examples, each framed in terms of a specific economic problem of interest or topic. Otherwise complicated content is then distilled into accessible examples, so you can use TensorFlow to solve workhorse models in economics and finance. What You'll Learn Define, train, and evaluate machine learning models in TensorFlow 2 Apply fundamental concepts in machine learning, such as deep learning and natural language processing, to economic and financial problems Solve workhorse models in economics and finance Who This Book Is For Students and data scientists working in the economics industry. Academic economists and social scientists who have an interest in machine learning are also likely to find this book useful.

Artificial Intelligence in Economics and Finance Theories

Tankiso Moloi,Tshilidzi Marwala
Artificial Intelligence in Economics and Finance Theories Book PDF

Author : Tankiso Moloi,Tshilidzi Marwala
Publisher : Springer Nature
Page : 131 pages
File Size : 47,6 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.

Computational Intelligence in Economics and Finance

Paul P. Wang,Tzu-Wen Kuo
Computational Intelligence in Economics and Finance Book PDF

Author : Paul P. Wang,Tzu-Wen Kuo
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 53,8 Mb
Release : 2007-07-11
Category : Computers
ISBN : 9783540728214

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Computational Intelligence in Economics and Finance by Paul P. Wang,Tzu-Wen Kuo Pdf

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.

Artificial Intelligence and Economic Theory: Skynet in the Market

Tshilidzi Marwala,Evan Hurwitz
Artificial Intelligence and Economic Theory Skynet in the Market Book PDF

Author : Tshilidzi Marwala,Evan Hurwitz
Publisher : Springer
Page : 204 pages
File Size : 45,8 Mb
Release : 2017-09-18
Category : Computers
ISBN : 9783319661049

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Artificial Intelligence and Economic Theory: Skynet in the Market by Tshilidzi Marwala,Evan Hurwitz Pdf

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar
Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance Book PDF

Author : El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar
Publisher : International Monetary Fund
Page : 35 pages
File Size : 54,7 Mb
Release : 2021-10-22
Category : Business & Economics
ISBN : 9781589063952

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Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar Pdf

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Computational Intelligence in Economics and Finance

Paul P. Wang
Computational Intelligence in Economics and Finance Book PDF

Author : Paul P. Wang
Publisher : Springer Science & Business Media
Page : 489 pages
File Size : 53,5 Mb
Release : 2013-03-09
Category : Business & Economics
ISBN : 9783662063736

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Computational Intelligence in Economics and Finance by Paul P. Wang Pdf

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.

Artificial Intelligence in Finance

Yves Hilpisch
Artificial Intelligence in Finance Book PDF

Author : Yves Hilpisch
Publisher : O'Reilly Media
Page : 477 pages
File Size : 55,7 Mb
Release : 2020-10-14
Category : Business & Economics
ISBN : 9781492055402

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Artificial Intelligence in Finance by Yves Hilpisch Pdf

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

AI for Finance

Edward P. K. Tsang
AI for Finance Book PDF

Author : Edward P. K. Tsang
Publisher : CRC Press
Page : 109 pages
File Size : 52,9 Mb
Release : 2023-06-02
Category : Computers
ISBN : 9781000878578

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AI for Finance by Edward P. K. Tsang Pdf

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.

Computational Economics

Shu-Heng Chen,L. C. Jain,Chung-Ching Tai
Computational Economics Book PDF

Author : Shu-Heng Chen,L. C. Jain,Chung-Ching Tai
Publisher : IGI Global
Page : 339 pages
File Size : 43,5 Mb
Release : 2006-01-01
Category : Business & Economics
ISBN : 9781591406495

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Computational Economics by Shu-Heng Chen,L. C. Jain,Chung-Ching Tai 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.

Advances in Artificial Intelligence in Economics, Finance, and Management

John D. Johnson,Andrew B. Whinston
Advances in Artificial Intelligence in Economics Finance and Management Book PDF

Author : John D. Johnson,Andrew B. Whinston
Publisher : Unknown
Page : 202 pages
File Size : 40,7 Mb
Release : 1994
Category : Artificial intelligence
ISBN : 1559381272

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Advances in Artificial Intelligence in Economics, Finance, and Management by John D. Johnson,Andrew B. Whinston Pdf

Part of a series on advances in artificial intelligence in economics, finance and management, this first volume discusses such topics as: artificial neural systems; the economic theory foundation for neural computing systems; and neural network of managerial judgement; among other topics.

Finance & Development, December 2023

International Monetary Fund. Communications Department
Finance Development December 2023 Book PDF

Author : International Monetary Fund. Communications Department
Publisher : International Monetary Fund
Page : 81 pages
File Size : 49,8 Mb
Release : 2023-11-30
Category : Business & Economics
ISBN : 9798400260179

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Finance & Development, December 2023 by International Monetary Fund. Communications Department Pdf

Generative AI has introduced tantalizing new possibilities. Yet the initial excitement surrounding AI has given way to genuine concerns. This issue is an early attempt to understand AI’s implications for growth, jobs, inequality, and finance.

Computational Finance 1999

Yaser S. Abu-Mostafa
Computational Finance 1999 Book PDF

Author : Yaser S. Abu-Mostafa
Publisher : MIT Press
Page : 744 pages
File Size : 52,7 Mb
Release : 2000
Category : Business & Economics
ISBN : 026251107X

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Computational Finance 1999 by Yaser S. Abu-Mostafa Pdf

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. Computational finance, an exciting new cross-disciplinary research area, draws extensively on the tools and techniques of computer science, statistics, information systems, and financial economics. This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. These methods are applied to a wide range of problems in finance, including risk management, asset allocation, style analysis, dynamic trading and hedging, forecasting, and option pricing. The book is based on the sixth annual international conference Computational Finance 1999, held at New York University's Stern School of Business.

Artificial Intelligence and Financial Behaviour

Riccardo Viale,Shabnam Mousavi,Umberto Filotto,Barbara Alemanni
Artificial Intelligence and Financial Behaviour Book PDF

Author : Riccardo Viale,Shabnam Mousavi,Umberto Filotto,Barbara Alemanni
Publisher : Edward Elgar Publishing
Page : 267 pages
File Size : 43,9 Mb
Release : 2023-06-01
Category : Business & Economics
ISBN : 9781803923154

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Artificial Intelligence and Financial Behaviour by Riccardo Viale,Shabnam Mousavi,Umberto Filotto,Barbara Alemanni Pdf

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.