Computational Intelligence In Exchange Rate Forecasting
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Computational Intelligence In Exchange Rate Forecasting
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Author : Andreas S. Andreou
language : en
Publisher:
Release Date : 2006
Computational Intelligence In Exchange Rate Forecasting written by Andreas S. Andreou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Computational Intelligence In Exchange Rate Forecasting
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Author : Andreas Andreou
language : en
Publisher:
Release Date : 2022
Computational Intelligence In Exchange Rate Forecasting written by Andreas Andreou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
This paper applies computational intelligence methods to exchange rate forecasting. In particular, it employs neural network methodology in order to predict developments of the Euro exchange rate versus the U.S. Dollar and the Japanese Yen. Following a study of our series using traditional as well as specialized, non-parametric methods together with Monte Carlo simulations we employ selected Neural Networks (NNs) trained to forecast rate fluctuations. Despite the fact that the data series have been shown by the Rescaled Range Statistic (R/S) analysis to exhibit random behaviour, their internal dynamics have been successfully captured by certain NN topologies, thus yielding accurate predictions of the two exchange-rate series.
Forecasting Exchange Rate Returns Using Tools Of Computational Intelligence
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Author :
language : en
Publisher:
Release Date : 2018
Forecasting Exchange Rate Returns Using Tools Of Computational Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Foreign Exchange Rate Forecasting With Artificial Neural Networks
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Author : Lean Yu
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-26
Foreign Exchange Rate Forecasting With Artificial Neural Networks written by Lean Yu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-26 with Business & Economics categories.
This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.
Computational Intelligence Techniques For Trading And Investment
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Author : Christian Dunis
language : en
Publisher: Routledge
Release Date : 2014-03-26
Computational Intelligence Techniques For Trading And Investment written by Christian Dunis and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-26 with Business & Economics categories.
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 methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading. This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.
Computational Intelligence In Economics And Finance
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Author : Paul P. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Computational Intelligence In Economics And Finance written by Paul P. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Business & Economics categories.
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.
Exchange Rate Prediction Using Support Vector Machines
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Author : Mohamad Alamili
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2011-10
Exchange Rate Prediction Using Support Vector Machines written by Mohamad Alamili and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10 with categories.
With an estimated $4.0 trillion average daily turnover, the global foreign currency exchange market is undoubtedly considered the largest and most liquid of all financial markets. The exchange market is a complex, nonlinear, and a dynamic system of which its time series, represented by the exchange rates, are inherently noisy, non-stationary, non-linear, and of an unstructured nature. These characteristics, combined with the immense trading volume and the many correlated influencing factors of economic, political, and psychological nature, has made exchange rate prediction one of the most difficult and demanding applications of financial forecasting, and an issue of much interest to both academic and economic communities. Being able to accurately forecast exchange rate movements provides considerable benefits to both firms and investors. This research aims to propose a decision support aid to these firms and investors, enabling them to better anticipate on possible future exchange rate movements, based on one of the most promising prediction models recently developed within computational intelligence: the Support Vector Machine.
Computational Intelligence In Economics And Finance
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Author : Paul P. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-11
Computational Intelligence In Economics And Finance written by Paul P. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-11 with Computers categories.
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.
Computational Intelligence In Economics And Finance
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Author : Paul P. Wang
language : en
Publisher: Springer
Release Date : 2003-09-16
Computational Intelligence In Economics And Finance written by Paul P. Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-16 with Business & Economics categories.
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.
Prediction And Causality In Econometrics And Related Topics
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Author : Nguyen Ngoc Thach
language : en
Publisher: Springer Nature
Release Date : 2021-07-26
Prediction And Causality In Econometrics And Related Topics written by Nguyen Ngoc Thach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-26 with Technology & Engineering categories.
This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates), about a country's economy (gross domestic product, stock index, inflation rate), and about individual enterprises, banks, and micro-finance institutions: their future performance (including the risk of bankruptcy), their stock prices, and their liquidity. Several papers study how COVID-19 has influenced the world economy. This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.