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.

Download or read book Agent Based Modeling written by Norman Ehrentreich and published by Springer Science & Business Media. This book was released on 2007-10-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community.

Download or read book Profitable Trading with Artificial Intelligence written by Louis B. Mendelsohn and published by Createspace Independent Publishing Platform. This book was released on 2017-10-18 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets.

Download or read book AI and Financial Markets written by Shigeyuki Hamori and published by MDPI. This book was released on 2020-07-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.

Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen and published by Oxford University Press. This book was released on 2018-01-12 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Download or read book OECD Sovereign Borrowing Outlook 2021 written by OECD and published by OECD Publishing. This book was released on 2021-05-20 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area.

Download or read book Intelligent Trading Systems written by Ondrej Martinsky and published by Harriman House Limited. This book was released on 2010-02-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work deals with the issue of problematic market price prediction in the context of crowd behavior. "Intelligent Trading Systems" describes technical analysis methods used to predict price movements.

Download or read book Deep Learning Tools for Predicting Stock Market Movements written by Renuka Sharma and published by John Wiley & Sons. This book was released on 2024-04-10 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.

Download or read book Adaptive Markets written by Andrew W. Lo and published by Princeton University Press. This book was released on 2019-05-14 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can’t agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist—the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo’s new paradigm explains how financial evolution shapes behavior and markets at the speed of thought—a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work.

Download or read book Artificial Markets Modeling written by Andrea Consiglio and published by Springer Science & Business Media. This book was released on 2007-08-27 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features contributions to agent-based computational modeling from the social sciences and computer sciences. It presents applications of methodologies and tools, focusing on the uses, requirements, and constraints of agent-based models used by social scientists. Topics include agent-based macroeconomics, the emergence of norms and conventions, the dynamics of social and economic networks, and behavioral models in financial markets.

Download or read book Technical Analysis in Forex and Stock Market written by Young Ho Seo and published by www.algotrading-investment.com. This book was released on with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is another effort for me to introduce the scientific trading for the trading community in Forex and Stock market. In my previous five books, I provided the details on how technical analysis can predict the market in conjunction with fractal wave. However, I felt that I could expand this on other technical analysis outside Support, Resistance, Triangle Pattern, Fibonacci Analysis, Harmonic Pattern, Elliott Wave, and X3 Chart Pattern. Hence, I chosen the supply and demand analysis to accomplish this goal. My goal was to provide you more practical trading examples. So that you can learn how to make use of the fractal wave in practice for your trading. The idea behind the supply and demand analysis starts with understanding the supply and demand curve in Economics. However, you do not need the deep understanding of the supply demand curve and Economics to use this technique. Hence, this technical analysis is accessible by anyone. In fact, the supply and demand analysis shares some common attributes with the volume spread analysis (VSA) devised by Richard Wyckoff. For example, the supply and demand analysis uses the price pattern based on the key area in the price analysis. The supply and demand analysis is the simple and straightforward price pattern analysis. In addition, the demand supply zone can be used as the support resistance too. We demonstrate how to use the demand supply zone as the support resistance in this book. Supply and demand trading does not require any complicated technical indicators or math skills. However, it purely focuses on the price itself. As it is the effective tool for your trading, I believe that many people will love to have this technical analysis on their toolbox. My latest book tends to be easier to read as I put a lot of effort to find the simplest explanation as possible. This book is easy to read too. In addition to the supply and demand analysis, this book covers other technical analysis in brief. This will help you to compare the supply and demand analysis with other technical analysis. However, this does not mean that this book is comprehensive to explain all the technical analysis in details. If you are looking to explore other technical analysis in details outside the supply and demand analysis, then I will recommend reading my previous books. In the list below, I put the easy to read book on top. Try to read the easy to read book first and try to read the harder book later to improve your trading and investment. · Technical Analysis in Forex and Stock Market (Supply and Demand Analysis and Support Resistance) · Science Of Support, Resistance, Fibonacci Analysis, Harmonic Pattern, Elliott Wave and X3 Chart Pattern (In Forex and Stock Market Trading) · Profitable Chart Patterns in Forex and Stock Market (Fibonacci Analysis, Harmonic Pattern, Elliott Wave, and X3 Chart Pattern) · Guide to Precision Harmonic Pattern Trading (Mastering Turning Point Strategy for Financial Trading) · Scientific Guide to Price Action and Pattern Trading (Wisdom of Trend, Cycle, and Fractal Wave) · Predicting Forex and Stock Market with Fractal Pattern (Science of Price and Time)

Download or read book Supercharged Trading with Artificial Intelligence written by Louis Mendelsohn and published by . This book was released on 2018-09-19 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets.

Download or read book Trends in Practical Applications of Agents and Multiagent Systems written by Pawel Pawlewski and published by Springer Science & Business Media. This book was released on 2010-04-16 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an international yearly forum to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their ex-perience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2010 edition in the Special Sessions and Workshops. PAAMS'10 Special Sessions and Workshops are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Sessions and Workshops that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics were especially encouraged and welcomed.

Download or read book The Philadelphia Stock Exchange and the City It Made written by Domenic Vitiello and published by University of Pennsylvania Press. This book was released on 2010-04-14 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Philadelphia Stock Exchange and the City It Made recounts the history of America's first stock exchange and the ways it shaped the growth and decline of the city around it. Founded in 1790, the Philadelphia Stock Exchange, its member firms, and the companies they financed had profound impacts on the city's place in the world economy. At its start, the exchange and its members helped spur the development of the early United States, its financial sector, and its westward expansion. During the nineteenth century, they invested in making Philadelphia the center of industrial America, raising capital for the railroads and coal mines that connected cities to one another and built a fossil fuel-based economy. After financing the Civil War, they underwrote the growth of the modern metropolis, its transportation infrastructure, utility systems, and real estate development. At the turn of the twentieth century, stagnation of the exchange contributed to Philadelphia's loss of power in the national and world economy. This original interpretation of the roots of deindustrialization holds important lessons for other cities that have declined. The exchange's revival following World War II is a remarkable story, but it also illustrates the limits of economic development in postindustrial cities. Unlike earlier eras, the exchange's fortunes diverged from those of the city around it. Ultimately, it became part of a larger, global institution when it merged with NASDAQ in 2008. Far more than a history of a single institution, The Philadelphia Stock Exchange and the City It Made traces the evolving relationship between the exchange and the city. For people concerned with cities and their development, this study offers a long-term history of the public-private partnerships and private sector-led urban development popular today. More generally, it traces the networks of firms and institutions revealed by the securities market and its participants. Herein lies a critical and understudied part of the history of metropolitan economic development.

Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2021-07-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.

Download or read book Designing Stock Market Trading Systems written by Bruce Vanstone and published by Harriman House Limited. This book was released on 2010-08-23 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most people know there is potential to make big money in the stock market, but they don't know how to get started. This work guides readers step by step through the authors' methods for building rule-based stock market trading systems.