Conventional wisdom long held that big name, highly athletic hitters and young pitchers with rocket arms were the ticket to success. But Beane and his staff, buoyed by massive amounts of carefully interpreted statistical data, believed that wins could be had by more affordable methods such as hitters with high on-base percentage and pitchers who get lots of ground outs. Given this information and a tight budget, Beane defied tradition and his own scouting department to build winning teams of young affordable players and inexpensive castoff veterans. Lewis was in the room with the A's top management as they spent the summer of 2002 adding and subtracting players and he provides outstanding play-by-play. In the June player draft, Beane acquired nearly every prospect he coveted (few of whom were coveted by other teams) and at the July trading deadline he engaged in a tense battle of nerves to acquire a lefty reliever. Besides being one of the most insider accounts ever written about baseball, Moneyball is populated with fascinating characters. We meet Jeremy Brown, an overweight college catcher who most teams project to be a 15th round draft pick (Beane takes him in the first). Sidearm pitcher Chad Bradford is plucked from the White Sox triple-A club to be a key set-up man and catcher Scott Hatteberg is rebuilt as a first baseman. But the most interesting character is Beane himself. A speedy athletic can't-miss prospect who somehow missed, Beane reinvents himself as a front-office guru, relying on players completely unlike, say, Billy Beane. Lewis, one of the top nonfiction writers of his era (Liar's Poker, The New New Thing), offers highly accessible explanations of baseball stats and his roadmap of Beane's economic approach makes Moneyball an appealing reading experience for business people and sports fans alike. --John Moe

    For many others, it's terrifying. After all, a stable job that delivers a regular paycheck is a blessing. And not everyone has the means or the desire to take on the risks and responsibilities of working for themselves.But what if we could quickly and easily create an additional stream of income without giving up the security of a full-time job? Enter the side hustle.Chris Gullibeau is no stranger to this world, having launched more than a dozen side hustles over his career. Here, he offers a step-by-step guide that takes you from idea to income in just 27 days.Designed for the busy and impatient, this detailed roadmap will show you how to select, launch, refine, and make money from your side hustle in under a month. You'll learn how to:- Brainstorm, borrow, and steal to build an arsenal of great side hustle ideas (day 3) - Apply "Tinder for Side Hustle" logic to pick the best idea at any time (day 6) - Learn, gather, or create everything you need to launch; then set up a real life way to get paid (days 13-14) - Start raking in the money by channeling your inner Girl Scout (day 18) - Master the art of deals, discounts, and special offers (day 21) - Raise your game: improve, expand, or make more money off your hustle (days 24-26)A side hustle is more than just another stream of income, it's also the new job security. When you receive paychecks from different sources, it allows you to take more chances in your "regular" career. More income means more options. More options equals freedom. You don't need entrepreneurial experience to launch a profitable side hustle. You don't have to have an MBA, or know how to code, or be an expert marketer. You don't need employees or investors. With Chris as a guide, anyone can make more money, pursue a passion, and enjoy greater security - without quitting their day job.

    This is one of the biggest debates in economics and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew Lo cuts through this debate with a new framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist.Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency isn't wrong but merely incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought--a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation.A fascinating intellectual journey filled with compelling stories, Adaptive Markets starts with the origins of market efficiency and its failures, turns to the foundations of investor behavior, and concludes with practical implications--including how hedge funds have become the Galapagos Islands of finance, what really happened in the 2008 meltdown, and how we might avoid future crises.An ambitious new answer to fundamental questions in economics, Adaptive Markets is essential reading for anyone who wants to know how markets really work.

    Crafting an engrossing journey from the gushing Pennsylvania oil fields of the 1860s to today's fraught and fractious Middle East, Crude Volatility explains how past periods of stability and volatility in oil prices help us understand the new boom-bust era. Oil's notorious volatility has always been considered a scourge afflicting not only the oil industry but also the broader economy and geopolitical landscape; Robert McNally makes sense of how oil became so central to our world and why it is subject to such extreme price fluctuations.Tracing a history marked by conflict, intrigue, and extreme uncertainty, McNally shows how--even from the oil industry's first years--wild and harmful price volatility prompted industry leaders and officials to undertake extraordinary efforts to stabilize oil prices by controlling production. Herculean market interventions--first, by Rockefeller's Standard Oil, then, by U.S. state regulators in partnership with major international oil companies, and, finally, by OPEC--succeeded to varying degrees in taming the beast. McNally, a veteran oil market and policy expert, explains the consequences of the ebbing of OPEC's power, debunking myths and offering recommendations--including mistakes to avoid--as we confront the unwelcome return of boom and bust oil prices.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    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

    Valuation provides up-to-date insights and practical advice on how to create, manage, and measure an organization's value. Along with all-new case studies that illustrate how valuation techniques and principles are applied in real-world situations, this comprehensive guide has been updated to reflect the events of the Internet bubble and its effect on stock markets, new developments in academic finance, changes in accounting rules (both U. S. and IFRS), and an enhanced global perspective. This edition contains the solid framework that managers at all levels, investors, and students have come to trust.

    System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. Kahneman exposes the extraordinary capabilities—and also the faults and biases—of fast thinking, and reveals the pervasive influence of intuitive impressions on our thoughts and behavior. The impact of loss aversion and overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the challenges of properly framing risks at work and at home, the profound effect of cognitive biases on everything from playing the stock market to planning the next vacation—each of these can be understood only by knowing how the two systems work together to shape our judgments and decisions.Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Thinking, Fast and Slow will transform the way you think about thinking.

    In The Little Book that Beats the Market--a New York Times bestseller with 300,000 copies in print--Greenblatt explained how investors can outperform the popular market averages by simply and systematically applying a formula that seeks out good businesses when they are available at bargain prices. Now, with a new Introduction and Afterword for 2010, The Little Book that Still Beats the Market updates and expands upon the research findings from the original book. Included are data and analysis covering the recent financial crisis and model performance through the end of 2009. In a straightforward and accessible style, the book explores the basic principles of successful stock market investing and then reveals the author's time-tested formula that makes buying above average companies at below average prices automatic. Though the formula has been extensively tested and is a breakthrough in the academic and professional world, Greenblatt explains it using 6th grade math, plain language and humor. He shows how to use his method to beat both the market and professional managers by a wide margin. You'll also learn why success eludes almost all individual and professional investors, and why the formula will continue to work even after everyone "knows" it. While the formula may be simple, understanding why the formula works is the true key to success for investors. The book will take readers on a step-by-step journey so that they can learn the principles of value investing in a way that will provide them with a long term strategy that they can understand and stick with through both good and bad periods for the stock market.As the Wall Street Journal stated about the original edition, "Mr. Greenblatt...says his goal was to provide advice that, while sophisticated, could be understood and followed by his five children, ages 6 to 15. They are in luck. His 'Little Book' is one of the best, clearest guides to value investing out there."

    And thirty years later, if you're going to read only one book on Watergate, that's still the one. Today, Enron is the biggest business story of our time, and Fortune senior writers Bethany McLean and Peter Elkind are the new Woodward and Bernstein.Remarkably, it was just two years ago that Enron was thought to epitomize a great New Economy company, with its skyrocketing profits and share price. But that was before Fortune published an article by McLean that asked a seemingly innocent question: How exactly does Enron make money? From that point on, Enron's house of cards began to crumble. Now, McLean and Elkind have investigated much deeper, to offer the definitive book about the Enron scandal and the fascinating people behind it.Meticulously researched and character driven, Smartest Guys in the Room takes the reader deep into Enron's past—and behind the closed doors of private meetings. Drawing on a wide range of unique sources, the book follows Enron's rise from obscurity to the top of the business world to its disastrous demise. It reveals as never before major characters such as Ken Lay, Jeff Skilling, and Andy Fastow, as well as lesser known players like Cliff Baxter and Rebecca Mark. Smartest Guys in the Room is a story of greed, arrogance, and deceit—a microcosm of all that is wrong with American business today. Above all, it's a fascinating human drama that will prove to be the authoritative account of the Enron scandal.

    Wealthy, powerful, and potentially dangerous, hedge fund moguls have become the It Boys of twenty-first ­century capitalism. Ken Griffin of Citadel started out trading convertible bonds from his dorm room at Harvard. Julian Robertson staffed his hedge fund with college athletes half his age, then he flew them to various retreats in the Rockies and raced them up the mountains. Paul Tudor Jones posed for a magazine photograph next to a killer shark and happily declared that a 1929-style crash would be "total rock-and-roll" for him. Michael Steinhardt was capable of reducing underlings to sobs. "All I want to do is kill myself," one said. "Can I watch?" Steinhardt responded. Finance professors have long argued that beating the market is impossible, and yet drawing on insights from physics, economics, and psychology, these titans have cracked the market's mysteries and gone on to earn fortunes. Their innovation has transformed the world, spawning new markets in exotic financial instruments and rewriting the rules of capitalism. More than just a history, More Money Than God is a window on tomorrow's financial system. Hedge funds have been left for dead after past financial panics: After the stock market rout of the early 1970s, after the bond market bloodbath of 1994, after the collapse of Long Term Capital Management in 1998, and yet again after the dot-com crash in 2000. Each time, hedge funds have proved to be survivors, and it would be wrong to bet against them now. Banks such as CitiGroup, brokers such as Bear Stearns and Lehman Brothers, home lenders such as Fannie Mae and Freddie Mac, insurers such as AIG, and money market funds run by giants such as Fidelity-all have failed or been bailed out. But the hedge fund industry has survived the test of 2008 far better than its rivals. The future of finance lies in the history of hedge funds.

    Who better to try to find order in the apparently unreasoned chaos of the global financial markets? Thomas A. Bass takes us inside their start-up company, following it from its inception as a motley collection of longhaired Ph.D.s to its passage into the centers of financial power, where the predictors find investors and finally go live with real money. The Predictors is a dizzying, often hilarious tale of genius and greed.

    But satisfactory answers have been hard to find for lack of adequate data and clear guiding theories. In Capital in the Twenty-First Century, Thomas Piketty analyzes a unique collection of data from twenty countries, ranging as far back as the eighteenth century, to uncover key economic and social patterns. His findings will transform debate and set the agenda for the next generation of thought about wealth and inequality.Piketty shows that modern economic growth and the diffusion of knowledge have allowed us to avoid inequalities on the apocalyptic scale predicted by Karl Marx. But we have not modified the deep structures of capital and inequality as much as we thought in the optimistic decades following World War II. The main driver of inequality—the tendency of returns on capital to exceed the rate of economic growth—today threatens to generate extreme inequalities that stir discontent and undermine democratic values. But economic trends are not acts of God. Political action has curbed dangerous inequalities in the past, Piketty says, and may do so again.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications