Addressing the growing demand to learn how to manage personal investments and finances, the authors have turned the spotlight on individual rather than institutional investors. Their strong real-word focus includes superior coverage of mutual funds, international investments, and investment decision techniques. The new edition makes use of the Internet through exercises and cross references to Internet resources. An accompanying CD-ROM offers hands-on practice in analyzing companies for investment purposes. All these distinctive features ensure that Fundamentals of Investing will continue to define the market for years to come.

    If you start with just a single penny and double it every day for 31 days, you end up with … $21,474,836.48. More than 21 million dollars in a single month! This is an example of the power of investment. Over the long-term, stock market is by far the best investment you can make. But there are many pitfalls for the unwary investor.  Help has arrived! A new book, Stock Market Investment Starter Guide: Step-by-Step Guide to Invest in Stock Market for Absolute Beginners, gives you the foundation you need to be successful but without common jargons that is everywhere. Using clear, straightforward language, Stock Market Investment Starter Guide breaks down the complexities of stock investment into easy-to-understand steps that anyone can follow. You’ll learn: How to invest in stocks, not gamble on them The 3 basic trading styles How to choose a broker, and read a stock chart When to buy, and when to sell Most important investing patterns to look for The 7 investing mistakes you must avoid And much, much more! There’s no reason to fear the stock market. You CAN make good money and safeguard your future with sensible strategy and planning. Grab a copy of Stock Market Investment Starter Guide today, and get started trading--the right way!

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.

    Excellent for beginners or experienced investors, Nothing Down for the 2000s is the key to generating low-risk, high-profit wealth and to a potential future of security and financial independence.

    This is not the same as “doing math.” The latter usually involves the application of formulas, procedures, and symbolic manipulations; mathematical thinking is a powerful way of thinking about things in the world -- logically, analytically, quantitatively, and with precision. It is not a natural way of thinking, but it can be learned. Mathematicians, scientists, and engineers need to “do math,” and it takes many years of college-level education to learn all that is required. Mathematical thinking is valuable to everyone, and can be mastered in about six weeks by anyone who has completed high school mathematics. Mathematical thinking does not have to be about mathematics at all, but parts of mathematics provide the ideal target domain to learn how to think that way, and that is the approach taken by this short but valuable book. The book is written primarily for first and second year students of science, technology, engineering, and mathematics (STEM) at colleges and universities, and for high school students intending to study a STEM subject at university. Many students encounter difficulty going from high school math to college-level mathematics. Even if they did well at math in school, most are knocked off course for a while by the shift in emphasis, from the K-12 focus on mastering procedures to the “mathematical thinking” characteristic of much university mathematics. Though the majority survive the transition, many do not. To help them make the shift, colleges and universities often have a “transition course.” This book could serve as a textbook or a supplementary source for such a course. Because of the widespread applicability of mathematical thinking, however, the book has been kept short and written in an engaging style, to make it accessible to anyone who seeks to extend and improve their analytic thinking skills. Going beyond a basic grasp of analytic thinking that everyone can benefit from, the STEM student who truly masters mathematical thinking will find that college-level mathematics goes from being confusing, frustrating, and at times seemingly impossible, to making sense and being hard but doable. Dr. Keith Devlin is a professional mathematician at Stanford University and the author of 31 previous books and over 80 research papers. His books have earned him many awards, including the Pythagoras Prize, the Carl Sagan Award, and the Joint Policy Board for Mathematics Communications Award. He is known to millions of NPR listeners as “the Math Guy” on Weekend Edition with Scott Simon. He writes a popular monthly blog “Devlin’s Angle” for the Mathematical Association of America, another blog under the name “profkeithdevlin”, and also blogs on various topics for the Huffington Post.

    The author's conversational writing style presents the politics and science of economic theories to tomorrow's decision-makers.

    Cohen changed Wall Street. He and his fellow pioneers of the hedge fund industry didn't lay railroads, build factories, or invent new technologies. Rather, they made their billions through speculation, by placing bets in the market that turned out to be right more often than wrong and for this, they gained not only extreme personal wealth but formidable influence throughout society. Hedge funds now oversee more than $3 trillion in assets, and the competition between them is so fierce that traders will do whatever they can to get an edge.Cohen was one of the industry's biggest success stories, the person everyone else in the business wanted to be. Born into a middle-class family on Long Island, he longed from an early age to be a star on Wall Street. He mastered poker in high school, went off to Wharton, and in 1992 launched the hedge fund SAC Capital, which he built into a $15 billion empire, almost entirely on the basis of his wizard like stock trading. He cultivated an air of mystery, reclusiveness, and excess, building a 35,000-square-foot mansion in Greenwich, Connecticut, flying to work by helicopter, and amassing one of the largest private art collections in the world. On Wall Street, Cohen was revered as a genius: one of the greatest traders who ever lived.That image was shattered when SAC Capital became the target of a sprawling, seven-year investigation, led by a determined group of FBI agents, prosecutors, and SEC enforcement attorneys. Labeled by prosecutors as a magnet for market cheaters whose culture encouraged the relentless pursuit of edge and even black edge, which is inside information SAC Capital was ultimately indicted and pleaded guilty to charges of securities and wire fraud in connection with a vast insider trading scheme, even as Cohen himself was never charged.Black Edge offers a revelatory look at the gray zone in which so much of Wall Street functions. It's a riveting, true-life legal thriller that takes readers inside the government's pursuit of Cohen and his employees, and raises urgent and troubling questions about the power and wealth of those who sit at the pinnacle of modern Wall Street.

    The definitive reference on trading systems, the book explains the tools and techniques of successful trading to help traders develop a program that meets their own unique needs. Presenting an analytical framework for comparing systematic methods and techniques, this new edition offers expanded coverage in nearly all areas, including trends, momentum, arbitrage, integration of fundamental statistics, and risk management. Comprehensive and in-depth, the book describes each technique and how it can be used to a trader's advantage, and shows similarities and variations that may serve as valuable alternatives. The book also walks readers through basic mathematical and statistical concepts of trading system design and methodology, such as how much data to use, how to create an index, risk measurements, and more. Packed with examples, this thoroughly revised and updated Fifth Edition covers more systems, more methods, and more risk analysis techniques than ever before. The ultimate guide to trading system design and methods, newly revised Includes expanded coverage of trading techniques, arbitrage, statistical tools, and risk management models Written by acclaimed expert Perry J. Kaufman Features spreadsheets and TradeStation programs for a more extensive and interactive learning experience Provides readers with access to a companion website loaded with supplemental materials Written by a global leader in the trading field, Trading Systems and Methods, Fifth Edition is the essential reference to trading system design and methods updated for a post-crisis trading environment.

    Throughout the book the authors show how managers use financial theory to solve practical problems and as a way of learning how to respond to change by showing not just how but why companies and management act as they do. The text is comprehensive, authoritative, and modern and yet the material is presented at a common sense level. The discussions and illustrations are unique due to the depth of detail blended with a distinct sense of humor for which the book is well known and highly regarded. This text is a valued reference for thousands of practicing financial managers.

    It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.

    But sometimes the solutions are not as interesting as the beautiful symmetric patterns that lead to them. Written in a friendly style for a general audience, Fearless Symmetry is the first popular math book to discuss these elegant and mysterious patterns and the ingenious techniques mathematicians use to uncover them.Hidden symmetries were first discovered nearly two hundred years ago by French mathematician �variste Galois. They have been used extensively in the oldest and largest branch of mathematics--number theory--for such diverse applications as acoustics, radar, and codes and ciphers. They have also been employed in the study of Fibonacci numbers and to attack well-known problems such as Fermat's Last Theorem, Pythagorean Triples, and the ever-elusive Riemann Hypothesis. Mathematicians are still devising techniques for teasing out these mysterious patterns, and their uses are limited only by the imagination.The first popular book to address representation theory and reciprocity laws, Fearless Symmetry focuses on how mathematicians solve equations and prove theorems. It discusses rules of math and why they are just as important as those in any games one might play. The book starts with basic properties of integers and permutations and reaches current research in number theory. Along the way, it takes delightful historical and philosophical digressions. Required reading for all math buffs, the book will appeal to anyone curious about popular mathematics and its myriad contributions to everyday life.

    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.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.