The Art Of Speculation
The Art Of Speculation

Author: Philip L. Carret

Publisher: Pickle Partners Publishing

Published: 2015-11-06

Total Pages: 401

ISBN-13: 1786256746

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Philip L. Carret (1896-1998) was a famed investor and founder of The Pioneer Fund (Fidelity Mutual Trust), one of the first Mutual Funds in the United States. A former Barron’s reporter and WWI aviator, Carret launched the Mutual Trust in 1928 after managing money for his friends and family. The initial effort evolved into Pioneer Investments. He ran the fund for 55 years, during which an investment of $10,000 became $8 million. Warren Buffett said of him that he had “the best long term investment record of anyone I know” He is most famous for the long successful track record he achieved investing in Common Stocks and for being one of Warren Buffett’s role models. This book comprises a series of articles written for Barron’s and published in book form in 1930.—Print Ed.

Efficiency and Anomalies in Stock Markets
Efficiency and Anomalies in Stock Markets

Author: Wing-Keung Wong

Publisher: Mdpi AG

Published: 2022-02-17

Total Pages: 232

ISBN-13: 9783036530802

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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.

Devil Take the Hindmost
Devil Take the Hindmost

Author: Edward Chancellor

Publisher: Penguin

Published: 2000-06-01

Total Pages: 401

ISBN-13: 0452281806

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A lively, original, and challenging history of stock market speculation from the 17th century to present day. Is your investment in that new Internet stock a sign of stock market savvy or an act of peculiarly American speculative folly? How has the psychology of investing changed—and not changed—over the last five hundred years? In Devil Take the Hindmost, Edward Chancellor traces the origins of the speculative spirit back to ancient Rome and chronicles its revival in the modern world: from the tulip scandal of 1630s Holland, to “stockjobbing” in London's Exchange Alley, to the infamous South Sea Bubble of 1720, which prompted Sir Isaac Newton to comment, “I can calculate the motion of heavenly bodies, but not the madness of people.” Here are brokers underwriting risks that included highway robbery and the “assurance of female chastity”; credit notes and lottery tickets circulating as money; wise and unwise investors from Alexander Pope and Benjamin Disraeli to Ivan Boesky and Hillary Rodham Clinton. From the Gilded Age to the Roaring Twenties, from the nineteenth century railway mania to the crash of 1929, from junk bonds and the Japanese bubble economy to the day-traders of the Information Era, Devil Take the Hindmost tells a fascinating story of human dreams and folly through the ages.

Technical Analysis of the Financial Markets
Technical Analysis of the Financial Markets

Author: John J. Murphy

Publisher: Penguin

Published: 1999-01-01

Total Pages: 579

ISBN-13: 0735200661

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John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.

Deep Learning Tools for Predicting Stock Market Movements
Deep Learning Tools for Predicting Stock Market Movements

Author: Renuka Sharma

Publisher: John Wiley & Sons

Published: 2024-04-10

Total Pages: 358

ISBN-13: 1394214316

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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.