This student-friendly text takes a hands-on approach to economic theory, issues and politics using a lively writing style which engages the student with clear explanations, easy to understand graphs and relevant examples.

    She founded the Facebook group Extreme Couponing and Bargains UK (the second largest Facebook group in the world) and is on TikTok, Youtube and Instagram helping as many people as possible to save money too.This book contains all her best hacks and tips to save money and make money - simple, life-changing ideas for everyone.Holly has included her favourite hacks from the Extreme Couponing and Bargains UK community too, who inspired her to write this book. And has asked all her money-saving expert friends to contribute tips too.All the costly moments of everyday life are included, from supermarket shops to kids parties - even special occasions like weddings and Christmas.Discover lots of fun ways to get saving, find the bargains and make your money go further.

    and around the world. International Economics: Theory and Policy is a proven approach in which each half of the book leads with an intuitive introduction to theory and follows with self-contained chapters to cover key policy applications. The Eighth Edition integrates the latest research, data, and policy in hot topics such as outsourcing, economic geography, trade and environment, financial derivatives, the subprime crisis, and China's exchange rate policies.

    Providing a concise introduction to abstract algebra, this work unfolds some of the fundamental systems with the aim of reaching applicable, significant results.

    We all sense that, but Mervyn King knows it firsthand; his ten years at the helm of the Bank of England, including at the height of the financial crisis, revealed profound truths about the mechanisms of our capitalist society. In The End of Alchemy he offers us an essential work about the history and future of money and banking, the keys to modern finance.The Industrial Revolution built the foundation of our modern capitalist age. Yet the flowering of technological innovations during that dynamic period relied on the widespread adoption of two much older ideas: the creation of paper money and the invention of banks that issued credit. We take these systems for granted today, yet at their core both ideas were revolutionary and almost magical. Common paper became as precious as gold, and risky long-term loans were transformed into safe short-term bank deposits. As King argues, this is financial alchemy—the creation of extraordinary financial powers that defy reality and common sense. Faith in these powers has led to huge benefits; the liquidity they create has fueled economic growth for two centuries now. However, they have also produced an unending string of economic disasters, from hyperinflations to banking collapses to the recent global recession and current stagnation.How do we reconcile the potent strengths of these ideas with their inherent weaknesses? King draws on his unique experience to present fresh interpretations of these economic forces and to point the way forward for the global economy. His bold solutions cut through current overstuffed and needlessly complex legislation to provide a clear path to durable prosperity and the end of overreliance on the alchemy of our financial ancestors.

    

    An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.

    government began standardizing and regulating financial reporting in 1929 when the stock market crash made it painfully clear that businesses often made absurd claims and that investors were either gullible, unable to verify information, or both. Now, financial reports are used by a company's management to measure profitability (or lack of it), optimize operations and guide the company, by banks and other lenders to gauge the company's financial health, and by institutional or individual investors interested in purchasing stock. Unless you're financially savvy, annual reports with all those figures, frustrating footnotes, and fine print are boring and intimidating. However, once you have a fundamental knowledge of finance and its basic terminology, you can find the juicy parts. Reading Financial Reports For Dummies by Lita Epstein, a teacher of online financial courses and author of Trading for Dummies, gets you up to speed so you can:Go past the prose that can maximize the positive and minimize the negative and get information in dollars and cents Get an overview from the big three--the balance sheet, income statement, and statement of cash flows Understand the lingo and read between the lines Calculate basics like PE, Dividend Payout Ratio, ROS, ROA, ROE, Operating Margin, and Net Margin It pays for investors to be somewhat skeptical instead of gullible. Pressured to please Wall Street, companies are sometimes tempted to use "creative" accounting. You'll discover how to:Detect red flags (that, unfortunately, aren't emphasized in red) such as lawsuits, changes in accounting methods, and obligations to retirees and future retirees Understand the different reporting requirements for public companies and private companies with various types of business structures Analyze a company's cash flow, a prime indicator of its financial health Scrutinize deals such as mergers, acquisitions, liquidations and other major changes in key assets Organized so you can start where you're comfortable and proceed at your own pace, Reading Financial Reports for Dummies helps managers prepare annual reports and use financial reporting to budget more efficiently and helps investors base their decisions on knowledge instead of hype. Whether you're in business or in the stock market, knowledge is always an asset.

    If you or someone you know is discontented, distressed, or downright disturbed, maybe the Great White North is right for you, eh. But how much do you really know about Canada? Can you do a job that Canada needs (do you play hockey, drill for oil, or make poutine?)? Can you identify the best Canadian province for your lifestyle (lots of tundra or just some tundra?)? Can you master the proper pronunciation of "sorry"? What strange wizardry is the Canadian government? Is maple syrup acceptable substitution for currency? At long last, How to Move to Canada can help make your vague threat into a cold Canadian reality. This book is also full of activities such as: Color the flag of your new homeland Match the strange Canuck dialect with their local definitions And more! PLEASE NOTE: This is a humor book. It won't really help you emigrate. Rather, it's a subversive mix of real information on the Great White North plus a hilarious look at all the reasons why you won't like it there any better — and why they probably won't have you anyway.

    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.

    An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economic, social, political, and biological phenomena. The book introduces in an accessible manner the main ideas behind the theory rather than their mathematical expression. All concepts are defined precisely, and logical reasoning is used throughout. The book requires an understanding of basic mathematics but assumes no specific knowledge of economics, political science, or other social or behavioral sciences. Coverage includes the fundamental concepts of strategic games, extensive games with perfect information, and coalitional games; the more advanced subjects of Bayesian games and extensive games with imperfect information; and the topics of repeated games, bargaining theory, evolutionary equilibrium, rationalizability, and maxminimization. The book offers a wide variety of illustrations from the social and behavioral sciences and more than 280 exercises. Each topic features examples that highlight theoretical points and illustrations that demonstrate how the theory may be used. Explaining the key concepts of game theory as simply as possible while maintaining complete precision, An Introduction to Game Theory is ideal for undergraduate and introductory graduate courses in game theory.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    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.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results