Tom Hayes, a brilliant but troubled mathematician, became the lynchpin of a wild alliance that included a prickly French trader nicknamed “Gollum”; the broker “Abbo,” who liked to publicly strip naked when drinking; a nervous Kazakh chicken farmer known as “Derka Derka”; a broker known as “Village” (short for “Village Idiot”) who racked up huge expense account bills; an executive called “Clumpy” because of his patchwork hair loss; and a broker uncreatively nicknamed “Big Nose” who had once been a semi-professional boxer. This group generated incredible riches —until it all unraveled in spectacularly vicious, backstabbing fashion.With exclusive access to key characters and evidence, The Spider Network is not only a rollicking account of the scam, but also a provocative examination of a financial system that was crooked throughout.

    This work is suitable for institutional investors, portfolio managers, financial analysts, and those requiring access to information on the global fixed income marketplace.

    Students know that Schaum's delivers the goods—in faster learning curves,better test scores,and higher grades!If you don't have a lot of time but want to excel in class,this book helps you: Brush up before tests; Find answers fast; Study quickly and more effectively; Get the big picture without spending hours poring over dull texts Schaum's Outlines give you the information teachers expect you to know in a handy and succinct format—without overwhelming you with unnecessary details. You get a complete overview of the subject—and no distracting minutiae. Plus,you get plenty of practice exercises to test your skill. Compatible with any classroom text,Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember—fast! And Schaum's is so complete it's the perfect tool for preparing for graduate or professional exams! Students of mathematical economics apply complex formulas—a challenging task that even the best students find daunting. But this Schaum's guide demystifies tough problems and gives you plenty of fully worked examples! Chapters include: Review. Economic Applications of Graphs and Equations. The Derivative and the Rules of Differentiation. Uses of the Derivative in Mathematics and Economics. Calculus of Multivariable Functions. Calculus of Multivariable Functions in Economics. Exponential and LogarithmicFunctions. Exponential and Logarithmic Functions in Economics. Differentiation of Exponential and Logarithmic Functions. The Fundamentals of Linear (or Matrix) Algebra. Matrix Inversion. Special Determinants and Matrices and Their Use in Economics. Linear Programming: A Graphic Approach. Linear Programming: The Simplex Algorithm. Linear Programming: The Dual. Integral Calculus: The Indefinite Integral. Integral Calculus: The Definite Integral. Differential Equations. Difference Equations. Second-Order Differential Equations and Difference Equations. The Calculus of Variations

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    Written by a world-renowned industry expert, the reference discusses how to forecast returns under different parameters. Expected returns of major asset classes, investment strategies, and the effects of underlying risk factors such as growth, inflation, liquidity, and different risk perspectives, are also explained. Judging expected returns requires balancing historical returns with both theoretical considerations and current market conditions. Expected Returns provides extensive empirical evidence, surveys of risk-based and behavioral theories, and practical insights.

     Leverage on great companies, churning more and more profits every year

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. The Student Suite CD-ROM, which now accompanies every new copy of the text, contains the latest versions of commercial software for optimization, simulation, and decision analysis.

    

    Jones carefully and gradually develops key concepts, while covering all the necessary background material. Only essential formulas are included. It's one of the most readable, comprehensible investments titles available! * Includes added ethics coverage of the Sarbanes-Oxley Legislation. * Contains increased discussion of globalization issues. * Details the variety of securities available, the markets in which they are traded, mechanics of securities training, and insight into the important concept of risk and return.

    Weygandt, Paul D. Kimmel, and Donald E. Kieso, which incorporates International Financial Reporting Standards (IFRS) into the existing textbook framework. On almost every page, the book addresses every accounting topic from the perspective of IFRS while still highlighting key differences between IFRS and US GAAP. Following the reputation for accuracy, comprehensiveness, and currency, the authors have painstakingly created a book dedicated to assisting students learning accounting topics under the rules of IFRS.

    There is nothing wrong with that desire. But you must have known the secrets of avoiding losses. Share Market is a field that has of late developed overwhelmingly. Millions of people invest in it with enthusiasm and are interested in knowing details about this grey area. Sadly, not everyone who invests in it earn profits. Some people who constantly learn end up earning, but those who do not know anything about it and put their trust on luck lose miserably. This book shows the way to avoid losses and increase gains in share market. This comprehensive book touches upon every aspect of stock market investment. A fantastic starting point for anyone aspiring to enter into the unknown world of share market. Even for investors who are already in the market, this book can serve a guide. People say, you either earn or learn in share market. This book preaches the secrets of learning and earning at the same time. This work takes you through an introduction about shares, functioning of share markets, relevance of stock market indices and different approaches for primary & secondary market investments. In also talks about the real qualities of an investor and how he differs from a speculator in the marketplace. Relationship between inflation & investments and the need for achieving inflation adjusted returns are stressed upon. Various stock selection processes, approaches to adapt for different market conditions and more more importantly the art of avoiding losses are discussed in details. You will learn how to analyse a company, its shares, market dynamics, how to value a business, what price to pay for a company etc. All important parameters, numbers and ratios are explained with interesting real time illustrations. Difference between value investing and growth oriented stock selection process is analysed thoroughly, Likewise, fundamental analysis and technical analysis are compared in a rational way. On top of these, this books describe the qualities that differentiate successful investors from ordinary ones. Those qualities are analysed in detail. More importantly, the book stresses the importance of identifying bad companies and unethical management, and teaches how to stay away from them.

    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

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/