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Math for Managers is a practical summary of formulas every manager needs. The book is organized into logical chapters, and each formula introduced includes an example and the Excel program needed to make the process of calculation simple. It adds a practical side to the challenge of calculating the sometimes complex formulas of compound interest, rates of return, breakeven after tax liability, balance sheet and income ratios, depreciation, reports and budgets, proration, statistics, and more. Additional appendices are provided to explain incredible math shortcuts. This book will benefit managers and executives at any level within an organization, as well as academic instructors and business students. Michael C. Thomsett is a market expert, author, speaker, and coach. His many books include Stock Market Math, Candlestick Charting, The Mathematics of Options, and A Technical Approach to Trend Analysis.
the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques.
In this accessible, prescriptive, and widely applicable manual, Google’s first engineering director and current Innovation Agitator Emeritus provides critical advice for rethinking how we launch a new idea, product, or business, insights to help successfully beat the law of market failure: that most new products will fail, even if competently executed. Millions of people around the world are working to introduce new ideas. Some will turn out to be stunning successes and have a major impact on our world and our culture: The next Google, the next Polio vaccine, the next Harry Potter, the next Red Cross, the next Ford Mustang. Others successes will be smaller and more personal, but no less meaningful: A restaurant that becomes a neighborhood favorite, a biography that tells an important story, a local nonprofit that cares for abandoned pets. Simultaneously, other groups are working equally hard to develop new ideas that, when launched, will fail. Some will fail spectacularly and publicly: New Coke, the movie John Carter, the Ford Edsel. Others failures will be smaller and more private, but no less failure: A home-based business that never takes off, a children’s book that neither publishers nor children have any interest in, a charity for a cause too few people care about. Most people believe that their venture will be successful. But the law of market failure tells us that up to 90 percent of most new products, services, businesses, and initiatives will fail soon after launch—regardless of how promising they sound, how much we commit to them, or how well we execute them. This is a hard fact to accept. Combining detailed case studies with personal insight drawn from his time at Google, his experience as an entrepreneur and consultant, and his lectures at Stanford University and Google, Alberto Savoia offers an unparalleled approach to beating the beast that is market failure: “Make sure you are building The Right It before you build It right,” he advises. In The Right It, he provides lessons on creating your own hard data, a strategy for market engagement, and an introduction to the concept of a pretotype (not a prototype). Groundbreaking, entertaining, and highly practical, this essential guide delivers a proven formula for ensuring ideas, products, services, and businesses succeed.
This new text presents Mathematics and Statistics in a user friendly approach designed to meet the needs of students taking introductory courses in business, accountancy, finance and economics. A section is included to support students with weaker or rusty mathematics and provide additional reinforcement for stronger students. Every topic is illustrated using a selection of applications from business, management and finance. The text includes accessible treatment of all the ideas and concepts relevant to students in these areas of study.
In the past, practical applications motivated the development of mathematical theories, which then became the subject of study in pure mathematics where abstract concepts are studied for their own sake. The activity of applied mathematics is thus intimately connected with research in pure mathematics, which is also referred to as theoretical mathematics. Theoretical and Applied Mathematics in International Business is an essential research publication that explores the importance and implications of applied and theoretical mathematics within international business, including areas such as finance, general management, sales and marketing, and supply chain management. Highlighting topics such as data mining, global economics, and general management, this publication is ideal for scholars, specialists, managers, corporate professionals, researchers, and academicians.
Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics. Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk. In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates. Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.