There was a time when the stock market was a mechanism for growing businesses to raise money, playing a large role in the industrial revolution-boosting America to a global superpower. Today the stock market has morphed into a high-tech system of fluctuating arbitrary numbers which are used by individuals and industries alike to find profit opportunities by placing bets, masqueraded as sophisticated financial maneuvers with fancy labels and acronyms. Nowhere is this more evident than with the tendencies observed today. There is a shocking trend by today's Millennial generation to shamelessly and unapologetically find ways to use the stock market to place very high-risk bets. And unlike formal Wall Street investment institutions, these gamblers, of sorts, don't attempt to disguise the game: they are proud to call Wall Street a casino. Jaime Rogozinski combs through various elements of how reckless investors play Wall Street similar to a casino. He illustrates these often in playful ways, using entertaining and compelling real-world anecdotes. His stories are taken straight from Reddit's r/wallstreetbets community which Jaime founded in 2012, and currently has more than 800,000 followers in addition to 3 million unique visitors a month. WallStreetBets is a forum based gathering where people are notoriously known for taking a brazen and public approach at gambling with the stock market.

     During a single historic weekend (September 12-14, 2008) the fate of Lehman Brothers was sealed, Merrill Lynch barely survived, and AIG became a ward of the federal government. Top CNBC anchor Maria Bartiromo spent the entire weekend taking frantic phone calls from the most powerful players on Wall Street and in Washington, as they toiled to keep the economy from complete collapse. Those CEOs and dozens of other sources gave Bartiromo behind-the-scenes details unavailable to other members of the media, of the crisis and its aftermath. Now she draws on her high-level network to provide an eyewitness account of the biggest events of the financial crisis including at length interviews with former treasury secretary Henry Paulson, former AIG chairman Hank Greenberg, former Merrill Lynch CEO John Thain, and JP Morgan CEO Jamie Dimon, among many others. Writing with both authority and dramatic flair, Bartiromo weaves a thrilling narrative that will make news. She also tackles the big questions: how did an unmatched period of market euphoria and growth turn sour, catapulting the economy into a dangerous slide? And in the long run, how will the near-catastrophe really change Wall Street?

    The book explains in easy manner the various investing avenues that you have, the advantages and disadvantages of each. It gives the overall picture of the Indian market.Here are some of the topics that are covered in the book:• Finding and choosing a broker - Online vs traditional broker• How to invest, how much to invest and investment goals• The difference between mutual funds, index funds, and ETFs• How to make your first tradeQuick and easy to read, this will help you start trading and gives you that basic knowlegde that is required before you select a stock to trade

    Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty. About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.

    

    Shilling explains in clear language and compelling logic why the world economy will struggle for several more years and what investors can do to protect and grow their wealth in the difficult times ahead. The investment strategies that worked for last 25 years will not work in the next 10 years. Shilling advises readers to avoid broad exposure to stocks, real estate, and commodities and to focus on high-quality bonds, high-dividend stocks, and consumer staple and food stocks. Written by one of today's best forecasters of economic trends-twice voted by Institutional Investor as Wall Street's top economist Clearly explains what to invest in, what to avoid, and how to cope with a deflationary, slow-growth economy Demonstrates how Shilling has been consistently right about major economic trends since he began forecasting in the early 1980s Filled with in-depth insights and practical advice, this timely guide lays out a convincing case for why investors need to be prepared for a long period of weak growth and deflation-not inflation-and what you can do to prosper in the difficult times ahead.

    How did Tata transform itself from a family-owned business to one of the most professionally managed enterprises in the world? How did it become a world leader in an array of unrelated businesses—from steel and automobile manufacturing to hotels and IT consulting? What exactly is the ‘Tata Way’, which has earned it so much admiration and respect?This brief history of the Tatas charts the contribution of every Tata chairman—from Jamsetji Tata, who set up the company in 1868, to Ratan Tata and Cyrus Mistry—and explores the values at the heart of the Tata Group, as well as the role played in its development by the philanthropic trusts that own two-thirds of the company.For anyone curious about this Indian company that has become a leading global player, this book is the perfect introduction.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    Do I have a strong enough case to go to trial? Will the Fed change interest rates? Can I trust this person? This book examines how people answer such questions. How do people cope with the complexities of the world economy, the uncertain behavior of friends and adversaries, or their own changing tastes and personalities? When are people's judgments prone to bias, and what is responsible for their biases? This book compiles psychologists' best attempts to answer these important questions.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

    Detailing the technical indicators and money management strategies that have worked best for him, T. Livingston breaks down what every savvy trader needs to profit in today’s stock market. Topics discussed include how to analyze the general market, which stocks to trade, when to buy, position sizing, profit targets, and selling rules. Swing Into It provides a variety of different examples so that the reader will be prepared for various market scenarios. Detailed sample trades are included so that the reader can see how Livingston thinks throughout each phase of his trades. If you’re looking to get started in swing trading or seeking to refine your trading system, Swing Into It belongs in your library.

    Thorp is the father of card counting, and in this classic guide he shares the revolutionary point system that has been successfully used by professional and amateur card players for generations. This book provides:o an overview of the basic rules of the game o proven winning strategies ranging from simple to advanced o methods to overcome casino counter measures o ways to spot cheating o charts and tables that clearly illustrate key conceptsA fascinating read and an indispensable resource for winning big, Beat the Dealer is the bible for players of this game of chance.**Bring these strategies into the casino: Perforated cards included in the book**

    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

    Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.