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This book introduces the readers to the rapidly growing literature and latest results on financial, fundamental and seasonal anomalies, stock selection modeling and portfolio management. Fifty years ago, finance professors taught the Efficient Markets Hypothesis which states that the average investor could not outperform the stock market based on technical, seasonal and fundamental data. Many, if not most faculty and investors, no longer share that opinion. In this book, the authors report original empirical evidence that applied investment research can produce statistically significant stock selection and excess portfolio returns in the US, and larger excess returns in international and emerging markets.
In an ever-changing economy, market specialists strive to find new ways to evaluate the risks and potential reward of economic ventures by assessing the importance of human reaction during the economic planning process. The Handbook of Research on Behavioral Finance and Investment Strategies: Decision Making in the Financial Industry presents an interdisciplinary, comparative, and competitive analysis of the thought processes and planning necessary for individual and corporate economic management. This publication is an essential reference source for professionals, practitioners, and managers working in the field of finance, as well as researchers and academicians interested in an interdisciplinary approach to combine financial management, sociology, and psychology.
This volume provides the definitive treatment of fortune's formula or the Kelly capital growth criterion as it is often called. The strategy is to maximize long run wealth of the investor by maximizing the period by period expected utility of wealth with a logarithmic utility function. Mathematical theorems show that only the log utility function maximizes asymptotic long run wealth and minimizes the expected time to arbitrary large goals. In general, the strategy is risky in the short term but as the number of bets increase, the Kelly bettor's wealth tends to be much larger than those with essentially different strategies. So most of the time, the Kelly bettor will have much more wealth than these other bettors but the Kelly strategy can lead to considerable losses a small percent of the time. There are ways to reduce this risk at the cost of lower expected final wealth using fractional Kelly strategies that blend the Kelly suggested wager with cash. The various classic reprinted papers and the new ones written specifically for this volume cover various aspects of the theory and practice of dynamic investing. Good and bad properties are discussed, as are fixed-mix and volatility induced growth strategies. The relationships with utility theory and the use of these ideas by great investors are featured.
Behavioural investing seeks to bridge the gap between psychology and investing. All too many investors are unaware of the mental pitfalls that await them. Even once we are aware of our biases, we must recognise that knowledge does not equal behaviour. The solution lies is designing and adopting an investment process that is at least partially robust to behavioural decision-making errors. Behavioural Investing: A Practitioner’s Guide to Applying Behavioural Finance explores the biases we face, the way in which they show up in the investment process, and urges readers to adopt an empirically based sceptical approach to investing. This book is unique in combining insights from the field of applied psychology with a through understanding of the investment problem. The content is practitioner focused throughout and will be essential reading for any investment professional looking to improve their investing behaviour to maximise returns. Key features include: The only book to cover the applications of behavioural finance An executive summary for every chapter with key points highlighted at the chapter start Information on the key behavioural biases of professional investors, including The seven sins of fund management, Investment myth busting, and The Tao of investing Practical examples showing how using a psychologically inspired model can improve on standard, common practice valuation tools Written by an internationally renowned expert in the field of behavioural finance
Consumer needs and demands are constantly changing. Because of this, marketing science and finance have their own concepts and theoretical backgrounds for evaluating consumer-related challenges. However, examining the function of finance with a marketing discipline can help to better understand internal management processes and compete in today’s market. The Handbook of Research on Decision-Making Techniques in Financial Marketing is a collection of innovative research that integrates financial and marketing functions to make better sense of the workplace environment and business-related challenges. Different financial challenges are taken into consideration while many of them are based on marketing theories such as agency theory, product life cycle, and optimal consumer experience. While highlighting topics including behavioral financing, corporate ethics, and Islamic banking, this book is ideally designed for financiers, marketers, financial analysts, marketing strategists, researchers, policymakers, government officials, academicians, students, and industry professionals.
Applied Equity Analysis treats stock valuation as a practical, hands-on tool rather than a vague, theoretical exercise—and covers the entire valuation process from financial statement analysis through the final investment recommendation. Its integrated approach to valuation builds viable connections between a firm’s competitive situation and the ultimate behavior of its common stock. Techniques explained include EVA, newer hybrid valuation techniques, and relative multiple analysis.
The Handbook of International Investment Law and Policy is a one-stop reference source. This Handbook covers the main conceptual questions in a logical, scholarly yet easy to comprehend manner. It is based on a truly global vision insisting particularly on Global South related issues and developments. In this respect, the Handbook of International Investment Law and Policy provides an excellent modern treatment of international investment law which is one of the fastest growing areas of international economic law. Professor Julien Chaisse, Professor Leïla Choukroune, and Professor Sufian Jusoh are the editors-in-chief of the Handbook of International Investment Law and Policy, a 1,500-page reference book, which is anticipated becoming one of the most influenced reference books in the international economic law areas. This Handbook is a highly comprehensive set of four volumes of original materials designed to cover all facets of international investment law and policy. The chapters, written by world-leading experts, explore key ideas and debates in relation to: international investment substantive law (Volume I), Investor-state dispute settlement (Volume II); interaction between international investment law and other fields of international law (Volume III); and, the new trends and challenges for international investment law (Volume IV). The Handbook will feature more than 80 contributions from leading experts (academics, lawyers, government officials), including Vivienne Bath, M. Sornarajah, Mélida Hodgson, Rahul Donde, Roberto Echandi, Andrew Mitchell, Ernst-Ulrich Petersmann, Christina L. Beharry, Krista Nadakavukaren Schefer, Leon Trakman, Prabhash Ranjan, Emmanuel Jacomy, Mariel Dimsey, Stavros Brekoulakis, Romesh Weeramantry, Nathalie Bernasconi-Osterwalder, David Collins, Damilola S. Olawuyi, Katia Fach Gomez, Jaemin Lee, Alejandro Carballo-Leyda, Patrick W. Pearsall, Mark Feldman, Surya Deva, Luke Nottage, Rafael Leal-Arcas, James Nedumpara, Rodrigo Polanco, etc. This Handbook will be an essential reference tool for students and scholars of international economic law. Policy makers and researchers alike will find the Handbook of International Investment Law and Policy useful for years to come.
Aswath Damodaran, distinguished author, Professor of Finance, and David Margolis, Teaching Fellow at the NYU Stern School of Business, has delivered the newest edition of Applied Corporate Finance. This readable text provides the practical advice students and practitioners need rather than a sole concentration on debate theory, assumptions, or models. Like no other text of its kind, Applied Corporate Finance, 4th Edition applies corporate finance to real companies. It now contains six real-world core companies to study and follow. Business decisions are classified for students into three groups: investment, financing, and dividend decisions.
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).