Author Brent Donnelly has been a successful interbank FX trader for more than 20 years and in this book, he shares the specific strategies and tactics he has used to profit in the forex marketplace. The book helps investors understand and master foreign exchange trading in order to achieve sustainable long-term financial success. The book builds in intensity and depth one topic at a time, starting with the basics and moving on to intermediate then advanced setups and strategies. Whether you are new to currency trading or have years of experience, The Art of Currency Trading provides the information you need to learn to trade like an expert. This much-needed guide provides: an insider’s view of what drives currency price movements; a clear explanation of how to combine macro fundamentals, technical analysis, behavioral finance and diligent risk management to trade successfully; specific techniques and setups you can use to make money trading foreign exchange; and steps you can take to better understand yourself and improve your trading psychology and discipline. Written for currency traders of all skill levels, international stock and bond investors, corporate treasurers, commodity traders, and asset managers, The Art of Currency Trading offers a comprehensive guide to foreign exchange trading written by a noted expert in the field.

    Froeb/McCann's MANAGERIAL ECONOMICS: A PROBLEM SOLVING APPROACH, 2E covers traditional material using a problem-based pedagogy built around common business mistakes. Models are used sparingly, and then only to the extent that they help students figure out why mistakes are made, and how to fix them. This edition's succinct, fast-paced presentation and challenging, interactive applications place students in the role of a decision maker who has to identify mistakes that reduce profits, and propose solutions to bring profits back up. The lively book provides an excellent ongoing reference for students pursuing business careers. New chapters and updates highlight mistakes that precipitated the financial crisis. With MANAGERIAL ECONOMICS, 2E your students are taught to use economics to not only identify profitable decisions, but also how to implement them within an organization.

    This book takes the view that business is an exciting process and that accounting is the perfect window through which to understand how economic events affect businesses.

    This title is aimed at courses in applied econometrics, political methodology, and sociological methods or a one-year graduate course in econometrics for social scientists.

    But those people haven't met Allison Schrager, an economist and award-winning journalist who has spent her career examining how people manage risk in their lives and careers.Whether we realize it or not, we all take risks large and small every day. Even the most cautious among us cannot opt out--the question is always which risks to take, not whether to take them at all. What most of us don't know is how to measure those risks and maximize the chances of getting what we want out of life.In An Economist Walks into a Brothel, Schrager equips readers with five principles for dealing with risk, principles used by some of the world's most interesting risk takers. For instance, she interviews a professional poker player about how to stay rational when the stakes are high, a paparazzo in Manhattan about how to spot different kinds of risk, horse breeders in Kentucky about how to diversify risk and minimize losses, and a war general who led troops in Iraq about how to prepare for what we don't see coming.When you start to look at risky decisions through Schrager's new framework, you can increase the upside to any situation and better mitigate the downside.

    Most important, they focus on the decisions we make every day and, using entertaining examples, provide invaluable tips on avoiding the financial faux pas that can cost thousands of dollars each year.

    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.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    While many of the mathematicians and software engineers on Wall Street failed when their abstractions turned ugly in practice, a special breed of physicists has a much deeper history of revolutionizing finance. Taking us from fin-de-siècle Paris to Rat Pack-era Las Vegas, from wartime government labs to Yippie communes on the Pacific coast, Weatherall shows how physicists successfully brought their science to bear on some of the thorniest problems in economics, from options pricing to bubbles.The crisis was partly a failure of mathematical modeling. But even more, it was a failure of some very sophisticated financial institutions to think like physicists. Models—whether in science or finance—have limitations; they break down under certain conditions. And in 2008, sophisticated models fell into the hands of people who didn’t understand their purpose, and didn’t care. It was a catastrophic misuse of science.The solution, however, is not to give up on models; it's to make them better. Weatherall reveals the people and ideas on the cusp of a new era in finance. We see a geophysicist use a model designed for earthquakes to predict a massive stock market crash. We discover a physicist-run hedge fund that earned 2,478.6% over the course of the 1990s. And we see how an obscure idea from quantum theory might soon be used to create a far more accurate Consumer Price Index.Both persuasive and accessible, The Physics of Wall Street is riveting history that will change how we think about our economic future.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless.The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

     In this new edition, Management, 9e has been extensively revised with a sincere commitment to help instructors teach and students learn in today's complex and globally competitive environment. The subject matter has been carefully chosen to meet AACSB accreditation guidelines while allowing extensive flexibility to fit various course designs and sizes. Along with updates of core material, Management, 9e offers a number of changes in the organization, content, and design that respond to current themes and developments in the theory and practice of management.

    In a series of startling experiments, Canadian scientist Dr. John Coates identified a feedback loop between testosterone and success that dramatically lowers the fear of risk in men, especially young men; he has vividly dubbed the moment when traders transform into exuberant high flyers "the hour between dog and wolf." Similarly, intense failure leads to a rise in levels of cortisol, which dramatically lowers the appetite for risk. His book expands on his seminal research to offer lessons from the exploding new field studying the biology of risk. Coates's conclusions shed light on all types of high-pressure decision-making, from the sports field to the battlefield, and leaves us with a powerful recognition: to handle risk isn't a matter of mind over body, it's a matter of mind and body working together. We all have it in us to be transformed from dog to wolf; the only question is whether we can understand the causes and the consequences.

    The very things done to make markets safer, have, in fact, created a world that is far more dangerous. From the 1987 crash to Citigroup closing the Salomon Arb unit, from staggering losses at UBS to the demise of Long-Term Capital Management, Bookstaber gives readers a front row seat to the management decisions made by some of the most powerful financial figures in the world that led to catastrophe, and describes the impact of his own activities on markets and market crashes. Much of the innovation of the last 30 years has wreaked havoc on the markets and cost trillions of dollars. A Demon of Our Own Design tells the story of man's attempt to manage market risk and what it has wrought. In the process of showing what we have done, Bookstaber shines a light on what the future holds for a world where capital and power have moved from Wall Street institutions to elite and highly leveraged hedge funds.