Stock Message Boards provides empirical data to reveal how online communication not only impacts stock returns, but also volatility, trading volume, and liquidity, as well as an investing firm's value and reputation.
This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
The new generation of internet technologies and web applications is seeing a growth in social software and networking, as well as other communications tools. This infrastructure of social interaction and collaboration has provided an increase in more dynamic user participation and expertise in knowledge of contents and facts traditionally only held by experts. Social Software and the Evolution of User Expertise: Future Trends in Knowledge Creation and Dissemination examines the vital role that social software applications play in regards to the cultural definitions of experts and challenges the reader to consider how recent changes in this area influence how we create and distribute knowledge. This collection brings together scholars and practitioners from various disciplines and professions to project a new kind of thinking about the understanding of the major changes in many professions.
This book helps readers understand the widely documented distortion in the portfolio choice of individual investors toward proximate firms – the proximity bias phenomenon. First, it recapitulates the fundamentals of modern portfolio theory. It then goes on to describe and demonstrate different approaches on how to measure proximity bias and identifies and examines potential motives and reasons for such a bias. In addition, the book presents new analysis on the financial effects of individual investors’ proximity bias, explaining and contributing with possible policy implications on their portfolio distortion. This book will be of interest to students and researchers, as well as decision-makers in business firms and households.
Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioner’s hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals. The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion on the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings. A git-hub repository includes data-sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem.
Even the best Wall Street investors make mistakes. No matter how savvy or experienced, all financial practitioners eventually let bias, overconfidence, and emotion cloud their judgement and misguide their actions. Yet most financial decision-making models fail to factor in these fundamentals of human nature. In Beyond Greed and Fear, the most authoritative guide to what really influences the decision-making process, Hersh Shefrin uses the latest psychological research to help us understand the human behavior that guides stock selection, financial services, and corporate financial strategy. Shefrin argues that financial practitioners must acknowledge and understand behavioral finance--the application of psychology to financial behavior--in order to avoid many of the investment pitfalls caused by human error. Through colorful, often humorous real-world examples, Shefrin points out the common but costly mistakes that money managers, security analysts, financial planners, investment bankers, and corporate leaders make, so that readers gain valuable insights into their own financial decisions and those of their employees, asset managers, and advisors. According to Shefrin, the financial community ignores the psychology of investing at its own peril. Beyond Greed and Fear illuminates behavioral finance for today's investor. It will help practitioners to recognize--and avoid--bias and errors in their decisions, and to modify and improve their overall investment strategies.
The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.
An innovative guide to using social networking for successful investing There is no doubt that the emergence of social media has taken over the Internet landscape. The remarkable growth of Facebook and Twitter has forced everyone-including investors-to take notice. This book explains how to use social marketing to pick and evaluate stocks. Author Zack Miller embodies the nexus between asset management, equity research, and new Internet distribution technologies. As an asset manager, he writes extensively about the changes and opportunities in online finance for investors, financial advisors, and investor relations professionals-and with this new book, he'll show you how to use social media to profit like the pros. You'll learn how to Invest for the long term utilizing streaming information, guru tips, and many other tools found in the world of financial social media Glean tips from experts in this growing field Use new tools to sort through the mounds of data currently available and make sense of it all The Internet has created totally new models and methods for researching investments. TradeStream Your Way to Profits explores these changes and explains how you can take advantage of these opportunities to make better, more profitable investment decisions.
With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current and future technologies and how the young generation benefits from this.