Or the "Phantom of Fine Hall," a figure many students had seen shuffling around the corridors of the math and physics building wearing purple sneakers and writing numerology treatises on the blackboards. The Phantom was John Nash, one of the most brilliant mathematicians of his generation, who had spiraled into schizophrenia in the 1950s. His most important work had been in game theory, which by the 1980s was underpinning a large part of economics. When the Nobel Prize committee began debating a prize for game theory, Nash's name inevitably came up—only to be dismissed, since the prize clearly could not go to a madman. But in 1994 Nash, in remission from schizophrenia, shared the Nobel Prize in economics for work done some 45 years previously.Economist and journalist Sylvia Nasar has written a biography of Nash that looks at all sides of his life. She gives an intelligent, understandable exposition of his mathematical ideas and a picture of schizophrenia that is evocative but decidedly unromantic. Her story of the machinations behind Nash's Nobel is fascinating and one of very few such accounts available in print (the CIA could learn a thing or two from the Nobel committees).

    The Second Edition of Trading Chaos is a cutting edge book that combines trading psychology and Chaos Theory and its particular effect on the markets. By examining both of these facets in relation to the current market, readers will have the best of all possible worlds when trading. Bill Williams, PhD, CTA (Solana Beach, CA), is President of Profitunity.com, a leader in the field of education for traders and investors. Justine Gregory-Williams (Solana Beach, CA) is President of the Profitunity Trading Group and a full-time trader.

    Changes in the fifth edition include: A new chapter on credit derivatives (Chapter 21). New! Business Snapshots highlight real-world situations and relevant issues. The first six chapters have been -reorganized to better meet the needs of students and .instructors. A new release of the Excel-based software, DerivaGem, is included with each text. A useful Solutions Manual/Study Guide, which includes the worked-out answers to the "Questions and Problems" sections of each chapter, can be purchased separately (ISBN: 0-13-144570-7).

    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 will also be extremely useful for those preparing for other MBA entrance examinations like XAT, SNAP, CMAT, NMAT, etc. Quantitative Aptitude is quite challenging component of the CAT question paper and the other mentioned MBA entrance examinations. In his inimitable style, Arun Sharma, an acknowledged authority on the topic, provides a comprehensive package of theory and practice problems to enable aspirants to attempt questions with extra speed and confidence.

    Many believe that it cannot be taught, and those who are successful in starting a business are born with something others do not have. Innovation-based entrepreneurship can be broken down into discreet behaviors and processes that can be taught to the intelligent, hardworking, people using this book.Eric Ries and Steve Blank were wrong; the road to a successful start-up is not just four steps. "Innovation Driven"" Entrepreneurship "breaks it down into 24 steps which include: Market segmentationQuantify the value propositionDefine your coreMap the process to acquire a paying costumerTest key assumptionsDevelop a product plan, and more.

    Macroeconomics1. Maximizing UtilityDecreasing Marginal Utility | Opportunity Costs2. Evaluating Production PossibilitiesProduction Possibilities Frontiers | Absolute and Comparative Advantage3. DemandDeterminants of Demand | Elasticity of Demand | Change in Demand vs. Change in Quantity Demanded4. SupplyDeterminants of Supply | Elasticity of Supply | Change in Supply vs. Change in Quantity Supplied5. Market EquilibriumHow Market Equilibrium is Reached | The Effect of Changes in Supply and Demand6. Government InterventionPrice Ceilings and Price Floors | Taxes and Subsidies7. Costs of ProductionMarginal Cost of Production | Fixed vs. Variable Costs | Short Run vs. Long Run | Sunk Costs | Economic Costs vs. Accounting Costs8. Perfect CompetitionFirms Are Price Takers | Making Decisions at the Margin | Consumer and Producer Surplus9. MonopolyMarket Power | Deadweight Loss with a Monopoly | Monopolies and Government10. OligopolyCollusion | Cheating the Cartel | Government Intervention in Oligopolies11. Monopolistic CompetitionCompeting via Product Differentiation | Loss of Surplus with Monopolistic CompetitionConclusion: The Insights and Limitations of Economics

    Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life. In A Mind for Numbers, Dr. Oakley lets us in on the secrets to effectively learning math and science—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn math. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. A Mind for Numbers shows us that we all have what it takes to excel in math, and learning it is not as painful as some might think!

    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

    The book's patient explanations are written in an informal, non-intimidating style. To underscore the relevance of mathematics to economics, the author allows the economist's analytical needs to motivate the study of related mathematical techniques; he then illustrates these techniques with appropriate economics models. Graphic illustrations often visually reinforce algebraic results. Many exercise problems serve as drills and help bolster student confidence. These major types of economic analysis are covered: statics, comparative statics, optimization problems, dynamics, and mathematical programming. These mathematical methods are introduced: matrix algebra, differential and integral calculus, differential equations, difference equations, and convex sets.

    Investors have flocked to dividend stocks in search of yield; however, fewer companies are paying out less in dividends due to legal, tax, and structural changes in the US markets. Dividend payments are only one use of a company’s free cash flow; other uses of cash include: share repurchases, debt paydown, reinvestment in the business, and mergers and acquisitions. Consequently, investors in the 21st century must look to all of the direct and indirect ways in which companies distribute their cash to shareholders, a metric commonly referred to as “Shareholder Yield”. In this book, we analyze portfolios based on the various cash flow metrics and find that portfolios of companies with high shareholder yields outperform both broad market indices and high dividend yield portfolios by a substantial margin.With all of the uncertainty in the markets today, Shareholder Yield helps the reader answer one of the most often asked question in investing today - "Where do I find yield"?-- Amazon.com

     But most people don't know how to harness it for profits. It took me over a decade to figure it out, and now I'm ready to share everything that I've learned. This is exactly the book that I wish I'd had when I was first learning how to trade. Don't be the sucker that Wall Street leaves holding the bag. In this book, you will learn: The one thing you must never do if a stock gaps to new highs The simplest ways to make money in the stock market How to tell when you are in a bull market, or a bear market How to identify which stocks are "market leaders" 10 ways to develop a winning trader's mindset The secrets to trading in a bear market How to use the RSI and Stochastics in different market environments How to run your trading like a business And much, much more! Join the thousands of smart traders who have improved their trading by reading this book. Amazon best-selling author and retired hedge fund manager, Matthew Kratter will teach you the secrets that he has used to trade profitably for the last 20 years. And if you ever get stuck, you can always reach out to him by email (provided inside of the book), and he will help you. Scroll to the top of this page and click BUY NOW.

    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.

    He shares his investing philosophy and offers advice on all aspects of financial planning, including engaging an adviser; building a property portfolio; investing in shares, bonds or managed funds; growing your superannuation; and ethical investment.It’s Your Money is an indispensable guide for anyone who wants to do more with their money. Alan shows how, with a few careful steps and some practical wisdom, anyone can invest sensibly and successfully. He gives you the tools to be confidently in charge of your money and your future, your way.It’s Your Money is an indispensable guide for anyone who wants to do more with their money

     Speed Mathematics teaches simple methods that will enable you to make lightning calculations in your head-including multiplication, division, addition, and subtraction, as well as working with fractions, squaring numbers, and extracting square and cube roots. Here's just one example of this revolutionary approach to basic mathematics: 96 x 97 = Subtract each number from 100. 96 x 97 = 4 3 Subtract diagonally. Either 96--3 or 97-- 4. The result is the first part of the answer. 96 x 97 = 93 4 3 Multiply the numbers in the circles. 4 x 3 = 12. This is the second part of the answer. 96 x 97 = 9312 4 3 It's that easy!