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Author: John C. Bogle Publisher: John Wiley & Sons ISBN: 1118238214 Category : Business & Economics Languages : en Pages : 391
Book Description
Recommended Reading by Warren Buffet in his March 2013 Letter to Shareholders How speculation has come to dominate investment—a hard-hitting look from the creator of the first index fund. Over the course of his sixty-year career in the mutual fund industry, Vanguard Group founder John C. Bogle has witnessed a massive shift in the culture of the financial sector. The prudent, value-adding culture of long-term investment has been crowded out by an aggressive, value-destroying culture of short-term speculation. Mr. Bogle has not been merely an eye-witness to these changes, but one of the financial sector’s most active participants. In The Clash of the Cultures, he urges a return to the common sense principles of long-term investing. Provocative and refreshingly candid, this book discusses Mr. Bogle's views on the changing culture in the mutual fund industry, how speculation has invaded our national retirement system, the failure of our institutional money managers to effectively participate in corporate governance, and the need for a federal standard of fiduciary duty. Mr. Bogle recounts the history of the index mutual fund, how he created it, and how exchange-traded index funds have altered its original concept of long-term investing. He also presents a first-hand history of Wellington Fund, a real-world case study on the success of investment and the failure of speculation. The book concludes with ten simple rules that will help investors meet their financial goals. Here, he presents a common sense strategy that "may not be the best strategy ever devised. But the number of strategies that are worse is infinite." The Clash of the Cultures: Investment vs. Speculation completes the trilogy of best-selling books, beginning with Bogle on Investing: The First 50 Years (2001) and Don't Count on It! (2011)
Author: John C. Bogle Publisher: John Wiley & Sons ISBN: 1118238214 Category : Business & Economics Languages : en Pages : 391
Book Description
Recommended Reading by Warren Buffet in his March 2013 Letter to Shareholders How speculation has come to dominate investment—a hard-hitting look from the creator of the first index fund. Over the course of his sixty-year career in the mutual fund industry, Vanguard Group founder John C. Bogle has witnessed a massive shift in the culture of the financial sector. The prudent, value-adding culture of long-term investment has been crowded out by an aggressive, value-destroying culture of short-term speculation. Mr. Bogle has not been merely an eye-witness to these changes, but one of the financial sector’s most active participants. In The Clash of the Cultures, he urges a return to the common sense principles of long-term investing. Provocative and refreshingly candid, this book discusses Mr. Bogle's views on the changing culture in the mutual fund industry, how speculation has invaded our national retirement system, the failure of our institutional money managers to effectively participate in corporate governance, and the need for a federal standard of fiduciary duty. Mr. Bogle recounts the history of the index mutual fund, how he created it, and how exchange-traded index funds have altered its original concept of long-term investing. He also presents a first-hand history of Wellington Fund, a real-world case study on the success of investment and the failure of speculation. The book concludes with ten simple rules that will help investors meet their financial goals. Here, he presents a common sense strategy that "may not be the best strategy ever devised. But the number of strategies that are worse is infinite." The Clash of the Cultures: Investment vs. Speculation completes the trilogy of best-selling books, beginning with Bogle on Investing: The First 50 Years (2001) and Don't Count on It! (2011)
Author: Stephen Satchell Publisher: Elsevier ISBN: 0080550673 Category : Business & Economics Languages : en Pages : 299
Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Author: Graham Elliott Publisher: Elsevier ISBN: 0444627405 Category : Business & Economics Languages : en Pages : 667
Book Description
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics
Author: Marcos Lopez de Prado Publisher: John Wiley & Sons ISBN: 1119482119 Category : Business & Economics Languages : en Pages : 395
Book Description
Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Author: Costis Skiadas Publisher: Princeton University Press ISBN: 1400830141 Category : Business & Economics Languages : en Pages : 363
Book Description
Asset Pricing Theory is an advanced textbook for doctoral students and researchers that offers a modern introduction to the theoretical and methodological foundations of competitive asset pricing. Costis Skiadas develops in depth the fundamentals of arbitrage pricing, mean-variance analysis, equilibrium pricing, and optimal consumption/portfolio choice in discrete settings, but with emphasis on geometric and martingale methods that facilitate an effortless transition to the more advanced continuous-time theory. Among the book's many innovations are its use of recursive utility as the benchmark representation of dynamic preferences, and an associated theory of equilibrium pricing and optimal portfolio choice that goes beyond the existing literature. Asset Pricing Theory is complete with extensive exercises at the end of every chapter and comprehensive mathematical appendixes, making this book a self-contained resource for graduate students and academic researchers, as well as mathematically sophisticated practitioners seeking a deeper understanding of concepts and methods on which practical models are built. Covers in depth the modern theoretical foundations of competitive asset pricing and consumption/portfolio choice Uses recursive utility as the benchmark preference representation in dynamic settings Sets the foundations for advanced modeling using geometric arguments and martingale methodology Features self-contained mathematical appendixes Includes extensive end-of-chapter exercises
Author: Emmanuel Jurczenko Publisher: John Wiley & Sons ISBN: 1786305445 Category : Business & Economics Languages : en Pages : 460
Book Description
This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.
Author: Wayne Ferson Publisher: MIT Press ISBN: 0262039370 Category : Business & Economics Languages : en Pages : 497
Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: Rajendra Akerkar Publisher: Jones & Bartlett Publishers ISBN: 1449662706 Category : Computers Languages : en Pages : 375
Book Description
A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.
Author: John C. Bogle
Author: John C. Bogle
Author: Stephen Satchell
Author: Graham Elliott
Author: Marcos Lopez de Prado
Author: Costis Skiadas
Author: Emmanuel Jurczenko
Author: John H. Cochrane
Author: Wayne Ferson
Author: Roy Henriksson
Author: Rajendra Akerkar