Financialization over the past three decades has created a structure that lacks resilience and supports absurd volumes of trading. The finance sector devotes too little attention to the search for new investment opportunities and the stewardship of existing ones, and far too much to secondary-market dealing in existing assets. Regulation has contributed more to the problems than the solutions.Why? What is finance for? John Kay, with wide practical and academic experience in the world of finance, understands the operation of the financial sector better than most. He believes in good banks and effective asset managers, but good banks and effective asset managers are not what he sees.In a dazzling and revelatory tour of the financial world as it has emerged from the wreckage of the 2008 crisis, Kay does not flinch in his criticism: we do need some of the things that Citigroup and Goldman Sachs do, but we do not need Citigroup and Goldman to do them. And many of the things done by Citigroup and Goldman do not need to be done at all. The finance sector needs to be reminded of its primary purpose: to manage other people's money for the benefit of businesses and households. It is an aberration when the some of the finest mathematical and scientific minds are tasked with devising algorithms for the sole purpose of exploiting the weakness of other algorithms for computerized trading in securities. To travel further down that road leads to ruin.

    But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.Joel Best bases his discussion on a wide assortment of intriguing contemporary issues that have garnered much recent media attention, including abortion, cyberporn, homelessness, the Million Man March, teen suicide, the U.S. census, and much more. Using examples from the New York Times, the Washington Post, and other major newspapers and television programs, he unravels many fascinating examples of the use, misuse, and abuse of statistical information.In this book Best shows us exactly how and why bad statistics emerge, spread, and come to shape policy debates. He recommends specific ways to detect bad statistics, and shows how to think more critically about "stat wars," or disputes over social statistics among various experts. Understanding this book does not require sophisticated mathematical knowledge; Best discusses the most basic and most easily understood forms of statistics, such as percentages, averages, and rates.This accessible book provides an alternative to either naively accepting the statistics we hear or cynically assuming that all numbers are meaningless. It shows how anyone can become a more intelligent, critical, and empowered consumer of the statistics that inundate both the social sciences and our media-saturated lives.

    This book tackles such questions head-on.   The authors begin with the great economist John Maynard Keynes. In 1930 Keynes predicted that, within a century, per capita income would steadily rise, people’s basic needs would be met, and no one would have to work more than fifteen hours a week. Clearly, he was wrong: though income has increased as he envisioned, our wants have seemingly gone unsatisfied, and we continue to work long hours.   The Skidelskys explain why Keynes was mistaken. Then, arguing from the premise that economics is a moral science, they trace the concept of the good life from Aristotle to the present and show how our lives over the last half century have strayed from that ideal. Finally, they issue a call to think anew about what really matters in our lives and how to attain it.   How Much Is Enough? is that rarity, a work of deep intelligence and ethical commitment accessible to all readers. It will be lauded, debated, cited, and criticized. It will not be ignored.

    Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester college-level statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts. The Essentials For Dummies Series Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easy-to-understand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject.

    In this seventh edition, Robert L. Heilbroner provides a new theme that connects thinkers as diverse as Adam Smith and Karl Marx. The theme is the common focus of their highly varied ideas—namely, the search to understand how a capitalist society works. It is a focus never more needed than in this age of confusing economic headlines.In a bold new concluding chapter entitled “The End of the Worldly Philosophy?” Heilbroner reminds us that the word “end” refers to both the purpose and limits of economics. This chapter conveys a concern that today’s increasingly “scientific” economics may overlook fundamental social and political issues that are central to economics. Thus, unlike its predecessors, this new edition provides not just an indispensable illumination of our past but a call to action for our future. (amazon.com)

    In addition to fine-tuning and streamlining the prose and the overall presentation, the authors have comprehensively updated the text and the applications to reflect recent economic developments and topics of current interest. Students in particular will find the Study Guide, with its practice questions, exercises, and problems, to be an excellent source of study support and extra review material. It is available in both a one- and a two-volume edition.

    It reveals the attraction that has drawn leading mathematicians and amateurs alike to number theory over the course of history.

    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.

    Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.

    Reflecting the demands for entry-level accountants, the focus of this book is on fostering critical thinking skills, reducing emphasis on memorisation and encouraging more analysis and interpretation by requiring use of technology tools, spreadsheets and databases.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    It's wrong. And not just wrong, but dangerous.Money: the Unauthorised Biography unfolds a panoramic secret history and explains the truth about money: what it is, where it comes from, and how it works.Drawing on stories from throughout human history and around the globe, Money will radically rearrange your understanding of the world and shows how money can once again become the most powerful force for freedom we have ever known.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Lester Award for the Outstanding Book in Industrial Relations and Labor Economics, Princeton UniversityAn Economist Best Economics and Business Book of the YearA Financial Times Best Economics Book of the YearInequality is one of our most urgent social problems. Curbed in the decades after World War II, it has recently returned with a vengeance. We all know the scale of the problem--talk about the 99% and the 1% is entrenched in public debate--but there has been little discussion of what we can do but despair. According to the distinguished economist Anthony Atkinson, however, we can do much more than skeptics imagine."[Atkinson] sets forth a list of concrete, innovative, and persuasive proposals meant to show that alternatives still exist, that the battle for social progress and equality must reclaim its legitimacy, here and now... Witty, elegant, profound, this book should be read."--Thomas Piketty, New York Review of Books"An uncomfortable affront to our reigning triumphalists. [Atkinson's] premise is straightforward: inequality is not unavoidable, a fact of life like the weather, but the product of conscious human behavior.--Owen Jones, The Guardian

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates