Computational Intelligence in Economics and Finance

Produk Detail:
  • Author : Paul P. Wang
  • Publisher : Springer Science & Business Media
  • Pages : 480 pages
  • ISBN : 3662063735
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Computational Intelligence in Economics and Finance

Download or Read online Computational Intelligence in Economics and Finance full in PDF, ePub and kindle. this book written by Paul P. Wang and published by Springer Science & Business Media which was released on 09 March 2013 with total page 480 pages. We cannot guarantee that Computational Intelligence in Economics and Finance book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance
  • Author : Paul P. Wang
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
GET THIS BOOK Computational Intelligence in Economics and Finance

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,

Computational Economics

Computational Economics
  • Author : Shu-Heng Chen,L. C. Jain,Chung-Ching Tai
  • Publisher : IGI Global
  • Release : 01 January 2006
GET THIS BOOK Computational Economics

"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.

Artificial Intelligence in Economics and Finance Theories

Artificial Intelligence in Economics and Finance Theories
  • Author : Tankiso Moloi,Tshilidzi Marwala
  • Publisher : Springer Nature
  • Release : 07 May 2020
GET THIS BOOK Artificial Intelligence in Economics and Finance Theories

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.

Artificial Intelligence and Economic Theory Skynet in the Market

Artificial Intelligence and Economic Theory  Skynet in the Market
  • Author : Tshilidzi Marwala,Evan Hurwitz
  • Publisher : Springer
  • Release : 18 September 2017
GET THIS BOOK Artificial Intelligence and Economic Theory Skynet in the Market

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

Computational Intelligence Paradigms in Economic and Financial Decision Making

Computational Intelligence Paradigms in Economic and Financial Decision Making
  • Author : Marina Resta
  • Publisher : Springer
  • Release : 14 October 2015
GET THIS BOOK Computational Intelligence Paradigms in Economic and Financial Decision Making

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

Financial Decision Making Using Computational Intelligence

Financial Decision Making Using Computational Intelligence
  • Author : Michael Doumpos,Constantin Zopounidis,Panos M. Pardalos
  • Publisher : Springer Science & Business Media
  • Release : 23 July 2012
GET THIS BOOK Financial Decision Making Using Computational Intelligence

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

Artificial Intelligence in Financial Markets

Artificial Intelligence in Financial Markets
  • Author : Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos
  • Publisher : Springer
  • Release : 21 November 2016
GET THIS BOOK Artificial Intelligence in Financial Markets

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.

Evolutionary Computation in Economics and Finance

Evolutionary Computation in Economics and Finance
  • Author : Shu-Heng Chen
  • Publisher : Springer Science & Business Media
  • Release : 27 May 2002
GET THIS BOOK Evolutionary Computation in Economics and Finance

After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each

Artificial Intelligence in Finance

Artificial Intelligence in Finance
  • Author : Yves Hilpisch
  • Publisher : O'Reilly Media
  • Release : 14 October 2020
GET THIS BOOK Artificial Intelligence in Finance

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

Economic Modeling Using Artificial Intelligence Methods

Economic Modeling Using Artificial Intelligence Methods
  • Author : Tshilidzi Marwala
  • Publisher : Springer Science & Business Media
  • Release : 02 April 2013
GET THIS BOOK Economic Modeling Using Artificial Intelligence Methods

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for

Computational Finance and Its Applications

Computational Finance and Its Applications
  • Author : Wessex Institute of Technology
  • Publisher : Wit Pr/Computational Mechanics
  • Release : 22 April 2021
GET THIS BOOK Computational Finance and Its Applications

Intelligent computational systems have become increasingly important in many financial applications, such as portfolio selection, proprietary trading and risk management. At the same time, traditional techniques are constantly being improved and developed as a result of the increased power of modern computer systems.

Computational Intelligence Techniques for Trading and Investment

Computational Intelligence Techniques for Trading and Investment
  • Author : Christian Dunis,Spiros Likothanassis,Andreas Karathanasopoulos,Georgios Sermpinis,Konstantinos Theofilatos
  • Publisher : Routledge
  • Release : 26 March 2014
GET THIS BOOK Computational Intelligence Techniques for Trading and Investment

Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important