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Author : Bernard Lee
Publisher :
ISBN 13 : 9789814725361
Total Pages : 265 pages
Book Rating : 4.7/5 (253 download)
Download or read book Ia [not Equal] Ai written by Bernard Lee and published by . This book was released on 2016 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bernard Lee
Publisher : World Scientific Publishing Company
ISBN 13 : 9789814725354
Total Pages : 0 pages
Book Rating : 4.7/5 (253 download)
Download or read book Investment Analytics in the Dawn of Artificial Intelligence written by Bernard Lee and published by World Scientific Publishing Company. This book was released on 2019-07-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps. Our short title "iaai" symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today. Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.
Author : Bernard Lee
Publisher : World Scientific
ISBN 13 : 9814725374
Total Pages : 265 pages
Book Rating : 4.8/5 (147 download)
Download or read book Investment Analytics In The Dawn Of Artificial Intelligence written by Bernard Lee and published by World Scientific. This book was released on 2019-07-24 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: A class of highly mathematical algorithms works with three-dimensional (3D) data known as graphs. Our research challenge focuses on applying these algorithms to solve more complex problems with financial data, which tend to be in higher dimensions (easily over 100), based on probability distributions, with time subscripts and jumps. The 3D research analogy is to train a navigation algorithm when the way-finding coordinates and obstacles such as buildings change dynamically and are expressed in higher dimensions with jumps.Our short title 'ia≠ai' symbolizes how investment analytics is not a simplistic reapplication of artificial intelligence (AI) techniques proven in engineering. This book presents best-of-class sophisticated techniques available today to solve high dimensional problems with properties that go deeper than what is required to solve customary problems in engineering today.Dr Bernard Lee is the Founder and CEO of HedgeSPA, which stands for Sophisticated Predictive Analytics for Hedge Funds and Institutions. Previously, he was a managing director in the Portfolio Management Group of BlackRock in New York City as well as a finance professor who has taught and guest-lectured at a number of top universities globally.Related Link(s)
Author : Davide Gazzotti
Publisher :
ISBN 13 :
Total Pages : 69 pages
Book Rating : 4.6/5 (151 download)
Download or read book The Dawn of Artificial Intelligence in Business written by Davide Gazzotti and published by . This book was released on 2020-02-18 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today technology is advancing faster and taking less time to be widely adopted than ever before: it took roughly 10,000 years to go from writing to the printing press, but only 500 years more to get the email. It seems we're at the dawn of a new age: the age of Artificial Intelligence, but many businesses are still sitting on the fence waiting for a way to understand if AI fits their needs right away. Artificial intelligence is not a magic box, it is not a robot that supernaturally solves problems, but it's more a series of strategies, compromises, and applications that allow getting closer to the result starting from data. And the result of AI in business is the ability to predict. However, for an accurate prediction, you have to struggle with lots of data, computational power, technologies, return on investment.With simple language and practical examples, "The Dawn of Artificial Intelligence in Business" uncovers the technical basis on which every successful company is building their AI applications nowadays, making use of big data analytics applied to business needs through Artificial Intelligence. If you are a manager, IT enthusiast, or entrepreneur, you will be inspired by real-world applications and stop having doubts about starting to innovate your business in the age of AI.
Author : Al Naqvi
Publisher : John Wiley & Sons
ISBN 13 : 1119601827
Total Pages : 323 pages
Book Rating : 4.1/5 (196 download)
Download or read book Artificial Intelligence for Asset Management and Investment written by Al Naqvi and published by John Wiley & Sons. This book was released on 2021-02-09 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.
Author : Robert R. Trippi
Publisher : McGraw Hill Professional
ISBN 13 : 9781557388681
Total Pages : 280 pages
Book Rating : 4.3/5 (886 download)
Download or read book Artificial Intelligence in Finance & Investing written by Robert R. Trippi and published by McGraw Hill Professional. This book was released on 1996 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Artificial Intelligence in Finance and Investing, authors Robert Trippi and Jae Lee explain this fascinating new technology in terms that portfolio managers, institutional investors, investment analysis, and information systems professionals can understand. Using real-life examples and a practical approach, this rare and readable volume discusses the entire field of artificial intelligence of relevance to investing, so that readers can realize the benefits and evaluate the features of existing or proposed systems, and ultimately construct their own systems. Topics include using Expert Systems for Asset Allocation, Timing Decisions, Pattern Recognition, and Risk Assessment; overview of Popular Knowledge-Based Systems; construction of Synergistic Rule Bases for Securities Selection; incorporating the Markowitz Portfolio Optimization Model into Knowledge-Based Systems; Bayesian Theory and Fuzzy Logic System Components; Machine Learning in Portfolio Selection and Investment Timing, including Pattern-Based Learning and Fenetic Algorithms; and Neural Network-Based Systems. To illustrate the concepts presented in the book, the authors conclude with a valuable practice session and analysis of a typical knowledge-based system for investment management, K-FOLIO. For those who want to stay on the cutting edge of the "application" revolution, Artificial Intelligence in Finance and Investing offers a pragmatic introduction to the use of knowledge-based systems in securities selection and portfolio management.
Author : Qingquan Tony Zhang
Publisher : Springer Nature
ISBN 13 : 3031116127
Total Pages : 340 pages
Book Rating : 4.0/5 (311 download)
Download or read book Alternative Data and Artificial Intelligence Techniques written by Qingquan Tony Zhang and published by Springer Nature. This book was released on 2022-10-31 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation.
Author : Christian L. Dunis
Publisher : Springer
ISBN 13 : 1137488808
Total Pages : 349 pages
Book Rating : 4.1/5 (374 download)
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.
Author : Larry Cao
Publisher : CFA Institute Research Foundation
ISBN 13 : 195292734X
Total Pages : 258 pages
Book Rating : 4.9/5 (529 download)
Download or read book Handbook of Artificial Intelligence and Big Data Applications in Investments written by Larry Cao and published by CFA Institute Research Foundation. This book was released on 2023-04-24 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) and big data have their thumbprints all over the modern asset management firm. Like detectives investigating a crime, the practitioner contributors to this book put the latest data science techniques under the microscope. And like any good detective story, much of what is unveiled is at the same time surprising and hiding in plain sight. Each chapter takes you on a well-guided tour of the development and application of specific AI and big data techniques and brings you up to the minute on how they are being used by asset managers. Given the diverse backgrounds and affiliations of our authors, this book is the perfect companion to start, refine, or plan the next phase of your data science journey.
Author : Syed Hasan Jafar
Publisher : CRC Press
ISBN 13 : 1000867668
Total Pages : 163 pages
Book Rating : 4.0/5 (8 download)
Download or read book Artificial Intelligence for Capital Markets written by Syed Hasan Jafar and published by CRC Press. This book was released on 2023-05-15 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book. Features: Showcases artificial intelligence in finance service industry Explains credit and risk analysis Elaborates on cryptocurrencies and blockchain technology Focuses on the optimal choice of asset pricing model Introduces testing of market efficiency and forecasting in the Indian stock market This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.
Author : DIZZY DAVIDSON
Publisher : Pure Water Books
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4./5 ( download)
Download or read book AI Stock Investing: Dividend Investing with Artificial Intelligence written by DIZZY DAVIDSON and published by Pure Water Books. This book was released on 2024-08-04 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you struggling to fully understand how AI can revolutionize your stock investing strategy? Do you find it challenging to keep up with the rapid advancements in AI technology and its applications in finance? Look no further! “AI Stock Investing: Dividend Investing with Artificial Intelligence” is your ultimate guide to harnessing the power of AI for smarter, more profitable investments. This book demystifies AI and provides you with practical insights and strategies to leverage AI in your dividend investing journey. Benefits of Reading This Book: Unlock the Potential of AI: Learn how AI algorithms can optimize your trading decisions and maximize your returns. Stay Ahead of the Curve: Understand the latest AI trends and technologies that are shaping the future of stock investing. Personalized Investment Strategies: Discover how AI can tailor investment advice to your unique financial goals and risk tolerance. Enhanced Risk Management: Utilize AI to detect and mitigate risks, ensuring a more secure investment portfolio. Fraud Detection: Protect your investments with AI’s advanced fraud detection capabilities. Why This Book is a Must-Read: This book is packed with actionable insights and real-world examples that make complex AI concepts accessible to everyone. Whether you’re a seasoned investor or just starting, you’ll find valuable information that can transform your approach to stock investing. The clear explanations and step-by-step guides will empower you to confidently apply AI techniques to your investment strategy. Bullet Points: Algorithmic Trading: Execute trades at optimal prices with AI. Sentiment Analysis: Predict stock movements by analyzing market sentiment. Portfolio Optimization: Create and manage investment portfolios with AI. Predictive Analytics: Forecast future stock prices using historical data. Automated Portfolio Building: Leverage robo-advisors for customized investment portfolios. Call to Action: Don’t miss out on the opportunity to revolutionize your investing strategy with AI. Get your copy of “AI Stock Investing: Dividend Investing with Artificial Intelligence” today and unlock the secrets to smarter, more profitable investments. Become knowledgeable about AI and take control of your financial future!
Author : Harper Sinclair
Publisher : eBookIt.com
ISBN 13 : 1456650823
Total Pages : 121 pages
Book Rating : 4.4/5 (566 download)
Download or read book Digital Dawn: The Rise of New Business Realities written by Harper Sinclair and published by eBookIt.com. This book was released on with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jeffery Long
Publisher : Jeffery William Long
ISBN 13 :
Total Pages : 181 pages
Book Rating : 4./5 ( download)
Download or read book AI Future Fortunes: AI-Powered Trends for Long-Term Investors written by Jeffery Long and published by Jeffery William Long. This book was released on 2024-08-15 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Future Fortunes: AI-Powered Trends for Long-Term Investors In the world of investing, staying ahead of the curve is crucial for long-term success. This is where AI-powered trend analysis comes into play. By harnessing the power of artificial intelligence, investors can gain valuable insights into market trends and make informed decisions that can lead to future fortunes. This subchapter will serve as an introduction to AI investing, exploring the benefits and potential pitfalls of utilizing AI technology in the world of finance.
Author : Riccardo Viale
Publisher : Edward Elgar Publishing
ISBN 13 : 1803923156
Total Pages : 267 pages
Book Rating : 4.8/5 (39 download)
Download or read book Artificial Intelligence and Financial Behaviour written by Riccardo Viale and published by Edward Elgar Publishing. This book was released on 2023-06-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Stephan De Spiegeleire
Publisher : The Hague Centre for Strategic Studies
ISBN 13 : 9492102544
Total Pages : 140 pages
Book Rating : 4.4/5 (921 download)
Download or read book Artificial Intelligence and the Future of Defense written by Stephan De Spiegeleire and published by The Hague Centre for Strategic Studies. This book was released on 2017-05-17 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations.
Author : Jeffery Long
Publisher : Jeffery William Long
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4./5 ( download)
Download or read book AI Insights: written by Jeffery Long and published by Jeffery William Long. This book was released on 2024-08-16 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Insights: : Automating Your Crypto Research for Smarter Investments AI Insights: Automating Your Crypto Research for Smarter Investments Chapter 1. Introduction to AI in Crypto Investing The integration of artificial intelligence (AI) into the realm of cryptocurrency investing marks a significant evolution in how individuals and institutions approach digital assets. As the crypto market becomes increasingly complex, characterized by rapid price fluctuations and a plethora of emerging projects, the need for sophisticated tools to aid decision-making has never been more pressing. AI-driven solutions offer investors the ability to analyze vast amounts of data in real time, uncovering patterns and trends that would be nearly impossible to identify through traditional methods. This chapter provides an overview of how AI is reshaping the landscape of crypto investing, particularly through automated research and low-risk portfolio management strategies. At the core of AI's impact on crypto investing is its capacity to process and interpret massive datasets efficiently. Traditional investment analysis often relies on historical data and fundamental analysis, which can be time-consuming and may not fully capture the nuances of the fast-moving crypto market. AI algorithms, on the other hand, can scrape news articles, social media sentiment, market indicators, and historical trends to deliver insights instantly. This real-time analysis empowers investors to make informed decisions quickly, reducing the risk associated with human error and emotional trading. As a result, investors are increasingly turning to AI-driven tools to enhance their research capabilities and streamline their investment processes.
Author : Söhnke M. Bartram
Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)
Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
