The firm--buttressed by the most aggressive and sophisticated p.r. machine in the financial industry--often boasts of "The Goldman Way," a business model predicated on hiring the most talented people, indoctrinating them in a corporate culture where partners stifle their egos for the greater good, and honoring the "14 Principles," the first of which is "Our clients' interests always come first." But there is another way of viewing Goldman--a secretive money-making machine that has straddled the line between conflict-of-interest and legitimate deal-making for decades; a firm that has exerted undue influence over government since the early part of the 20th century; a company composed of "cyborgs" who are kept in line by an internal "reputational risk department" staffed by former CIA operatives and private investigators; a workplace rife with brutal power struggles; a Wall Street titan whose clever bet against the mortgage market in 2007--a bet not revealed to its clients--may have made the financial ruin of the Great Recession worse. As William D. Cohan shows in his riveting chronicle of Goldman's rise to the summit of world capitalism, the firm has shown a remarkable ability to weather financial crises, congressional, federal and SEC investigations, and numerous lawsuits, all with its reputation and its enormous profits intact. By reading thousands of pages of government documents, court cases, SEC filings, Freedom of Information Act papers and other sources, and conducting over 100 interviews, including interviews with clients, competitors, regulators, current and former Goldman employees (including the six living men who have run Goldman), Cohan has constructed a vivid narrative that looks behind the veil of secrecy to reveal how Goldman has become so profitable, and so powerful. Part of the answer is the firm's assiduous cultivation of people in power--dating back to 1913, when Henry Goldman advised the government on how the new Federal Reserve, designed to oversee Wall Street, should be constituted. Sidney Weinberg, who ran the firm for four decades, advised presidents from Roosevelt to Kennedy and was nicknamed "The Politician" for his behind-the-scenes friendships with government officials.  Goldman executives ran fundraising efforts for Nixon, Reagan, Clinton and George W. Bush.  The firm showered lucrative consulting or speaking fees on figures like Henry Kissinger and Lawrence Summers. Famously, and fatefully, two Goldman leaders-- Robert Rubin and Henry Paulson--became Secretaries of the Treasury, where their actions both before and during the financial crisis of 2008 became the stuff of controversy and conspiracy theories.  Another major strand in the firm's DNA is its eagerness to deal on both sides of a transaction, eliding questions of conflict of interest by the mere assertion of their innate honesty and nobility, a refrain repeated many times in its history, most notoriously by current Goldman CEO Lloyd Blankfein's jesting assertion that he was doing "God's work." As Michiko Kakutani's New York Times review of HOUSE OF CARDS said, "Cohan writes with an insider's knowledge of the workings of Wall Street, a reporter's investigative instincts and a natural storyteller's narrative command." In MONEY & POWER, Cohan has marshaled all these gifts in a powerful and definitive account of an institution whose public claims of virtue look very much like ruthlessness when exposed to the light of day.

    How did this marvel of self-organized complexity evolve? How is wealth created within this system? And how can wealth be increased for the benefit of individuals, businesses, and society? In The Origin of Wealth, Eric D. Beinhocker argues that modern science provides a radical perspective on these age-old questions, with far-reaching implications. According to Beinhocker, wealth creation is the product of a simple but profoundly powerful evolutionary formula: differentiate, select, and amplify. In this view, the economy is a "complex adaptive system" in which physical technologies, social technologies, and business designs continuously interact to create novel products, new ideas, and increasing wealth. Taking readers on an entertaining journey through economic history, from the Stone Age to modern economy, Beinhocker explores how "complexity economics" provides provocative insights on issues ranging from creating adaptive organizations to the evolutionary workings of stock markets to new perspectives on government policies. A landmark book that shatters conventional economic theory, The Origin of Wealth will rewire our thinking about how we came to be here—and where we are going.

    The 11th edition of this text continues to build on four major marketing themes: building and managing profitable customer relationships, building and managing strong brands to create brand equity, harnessing new marketing technologies in the digital age, and marketing in a socially responsible way around the globe.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    These are the best pieces from some of the most respected money managers and investment researchers in the world.You'll get valuable insights into:-- The strategies that produce some of the highest historical returns -- Five due diligence questions we must ask before investing -- Why we often make poor "complex" investing decisions -- The easiest, most powerful method to estimate future stock returns -- How to spend our investment gains to maximize genuine happinessThe Best Investment Writing - Volume 1 reads like a masters course in investing. See how it can help you become a better investor today.With contributions from: Jason Zweig, Gary Antonacci, Morgan Housel, Ben Hunt, Todd Tresidder, Patrick O'Shaughnessy, Meb Faber, David Merkel, Norbert Keimling, Adam Butler, Stan Altshuller, Tom McClellan, Jared Dillian, Raoul Pal, Barry Ritholtz, Ken Fisher, Chris Meredith, Aswath Damodaran, Ben Carlson, Dave Nadig, Josh Brown, Corey Hoffstein, Jason Hsu, Wes Gray, John Reese, Larry Swedroe, Cullen Roche, Jonathan Clements, Michael Kitces, Charlie Bilello, John Mauldin

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    The applications and computations in operations research are emphasized. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

    This title presents the use of focus companies and the financial statements. The decision-making focus shows the relevance of financial accounting regardless of whether or not the student has chosen to major in accounting.

    Now, Fundamental Analysis For Dummies puts this tried and true method for gauging any company's true underlying value into sensible and handy step-by-step instructions..In this easy-to-understand, practical, and savvy guide you'll discover why this powerful tool is particularly important to investors in times of economic downturn and how it helps you assess a business's overall financial performance by using historical and present data to forecast its future monetary value. You'll also learn how to use fundamental analysis to spot bargains in the market, minimize your risk, and improve your overall investment skills.Shows how to predict the future value of a business based on its current and historical financial data Helps you guage a company's performance against its competitors Covers evaluation of internal management Reveals how to determine if in a company's credit standing is any jeopardy Applies fundamental analysis to other investment vehicles, including currency, bonds, and commodities Matt Krantz is a writer and reporter for USA TODAY and USATODAY.COM where he covers investments and financial markets Read Fundamental Analysis For Dummies and find the bargains that could make you the next Warren Buffett!

    Years of experience as a finance professor and a consultant have led him to see that what matters aren't asset classlabels, but instead the bundles of overlapping risks they represent. Factor risks must be the focus of our attention if we are to weather market turmoil and receive the rewards that come with doing so.Clearly written yet full of the latest research and data, Asset Management is indispensable reading for trustees, professional money managers, smart private investors, and business students who want to understand the economics behind factor risk premiums, to harvest them efficiently in theirportfolios, and to embark on the search for true alpha.

    The book combines engaging anecdotes with industry research to illustrate the principles and methods of this complex strategy, and explains the reasoning behind seemingly incomprehensible activist maneuvers. Written by an active value investor, Deep Value provides an insider's perspective on shareholder activist strategies in a format accessible to both professional investors and laypeople. The Deep Value investment philosophy as described by Graham initially identified targets by their discount to liquidation value. This approach was extremely effective, but those opportunities are few and far between in the modern market, forcing activists to adapt. Current activists assess value from a much broader palate, and exploit a much wider range of tools to achieve their goals. Deep Value enumerates and expands upon the resources and strategies available to value investors today, and describes how the economic climate is allowing value investing to re-emerge. Topics include: Target identification, and determining the most advantageous ends Strategies and tactics of effective activism Unseating management and fomenting change Eyeing conditions for the next M&A boom Activist hedge funds have been quiet since the early 2000s, but economic conditions, shareholder sentiment, and available opportunities are creating a fertile environment for another golden age of activism. Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations provides the in-depth information investors need to get up to speed before getting left behind.

    Students uncover how real-world managers design, implement, and use planning and control systems to implement business strategies. The 12th edition builds on the strengths of prior editions by offering a rich diversity of cases balanced with current content and research.

    This is a sustainable source of advantage in today’s turbulent global marketplace, where demand is difficult to predict and supply chains need to be more flexible as a result. In fact, the real competition today is not between companies, but between supply chains. The winning approach to supply chains is an integrated perspective that takes account of networks of relationships, sustainability and product design, as well as the logistics of procurement, distribution, and fulfilment. Logistics and Supply Chain Management examines the tools, core processes and initiatives that ensure businesses gain and maintain their competitive advantage. The fourth edition has been completely updated and now contains four new chapters covering:· managing supply chain relationships· product design in the supply chain· matching supply and demand · creating a sustainable supply chain Front Flap The updated 4th edition of the bestselling Logistics and Supply Chain Management is the practical guide to all the key topics in an integrated approach to supply chains, including: The link between logistics and customer value Logistics and the bottom line – measuring costs and performance Creating a responsive supply chain Managing the global pipeline Managing supply chain relationships Managing risk in the supply chain Matching supply and demand Creating a sustainable supply chain Product design in the supply chain Back Flap About the author Martin Christopher is Chairman of the Centre for Logistics and Supply Chain Management. He has written numerous books and articles and is on the editorial advisory board of a several professional journals. Until recently he was co-editor of The International Journal of Logistics Management and his latest books have focused upon relationship marketing, logistics and supply chain management. He has held appointments as Visiting Professor at the Universities of British Columbia, Canada, New South Wales, Australia and South Florida, USA. Professor Christopher is a Fellow of the Chartered Institute of Marketing, the Chartered Institute of Logistics and Transport and the Chartered Institute of Purchasing and Supply. In 1987 he was awarded the Sir Robert Lawrence medal of the Institute of Logistics and Transport for his contribution to the development of logistics education in Britain. In 2005 he was awarded the Distinguished Service Award of the USA Council for Supply Chain Management Professionals. In 2007 he was designated as Foundation Professor by the Chartered Institute of Purchasing and Supply. Martin has also worked as a consultant for major international companies in North America, Europe, the Far East and Australasia.

    Designed for two-semester, beginning graduate courses in Mathematical Statistics, and for senior undergraduate Mathematics, Statistics, and Actuarial Science majors, this text retains its ongoing features and continues to provide students with background material.