But the full impact of the crises we have recently faced will create far more problems, and unless you're prepared, you'll struggle to regain your financial footing.In The Great Reflation, author Tony Boeckh helps you understand how these crises, and the policies passed to jumpstart the economy, will play out for investments and business, and provides you with the tools to excel in today's rapidly evolving financial landscape. He reveals how similar episodes compare with the current crises and what this could mean for your financial future.Arms you with practical insights that will allow you to evaluate different investment options Explores the implications of the end of the private debt cycle, the possible rise of a new age of thrift, and the new government debt crisis Reveals how you can profit from once-in-a-lifetime opportunities as well as proper portfolio allocation strategies While things may never return to "normal," you can still make choices that will allow you to prosper. This book will show you how.

    Today Nash's beautiful math has become a universal language for research in the social sciences and has infiltrated the realms of evolutionary biology, neuroscience, and even quantum physics. John Nash won the 1994 Nobel Prize in economics for pioneering research published in the 1950s on a new branch of mathematics known as game theory. At the time of Nash's early work, game theory was briefly popular among some mathematicians and Cold War analysts. But it remained obscure until the 1970s when evolutionary biologists began applying it to their work. In the 1980s economists began to embrace game theory. Since then it has found an ever expanding repertoire of applications among a wide range of scientific disciplines. Today neuroscientists peer into game players' brains, anthropologists play games with people from primitive cultures, biologists use games to explain the evolution of human language, and mathematicians exploit games to better understand social networks. A common thread connecting much of this research is its relevance to the ancient quest for a science of human social behavior, or a Code of Nature, in the spirit of the fictional science of psychohistory described in the famous Foundation novels by the late Isaac Asimov. In A Beautiful Math, acclaimed science writer Tom Siegfried describes how game theory links the life sciences, social sciences, and physical sciences in a way that may bring Asimov's dream closer to reality.

    First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as self-evident." --Arthur SchopenhauerThe Ponzi Factor is the most comprehensive research ever compiled on the negative-sum nature of capital gains (non-dividend stocks). The book shows why, as a whole, ALL investors will lose money from buying and selling stocks.Most people don’t realize that profits from buying and selling stocks come from other investors who are also buying and selling stocks. When one investor buys low and sells high, another investor is also buying high and needs to sell for even higher. Companies like Google, Telsa, Facebook never pay their investors. Their investors’ profits are dependent on the inflow of money from new investors, which by definition, is how a Ponzi scheme works.This book is not for everyone. If you are a finance junkie who wants to rationalize why companies don’t have to pay their investors and believe a system that shuffles money between investor can magically create more money than people contribute, then this book is not for you. On the other hand, if you understand why we can’t create money by shuffling it with imaginary paper, and that investors invest because they want money, not value, then you will learn something you will never forget: The mechanics of how the stock market works and what really makes a stock price move.A stock without dividends is a Ponzi asset. It’s not how equity instruments were designed to work historically and not how ownership instruments are supposed to work logically. The Ponzi Factor is not a perspective or an opinion. It is a proof that is based on definition, logic, and it is supported by observable facts and history. This is not a story that will disappear after another market crash. It is an idea that will remain relevant for as long as the stock market exists.Lastly, to critics, the naysayer, and the finance junkies who think the imaginary value = cash. The author will award $20,000 to anyone who can show why non-dividend stocks DO NOT meet the definition of a Ponzi scheme. That’s $20,000 in cash, not value. (Details on this book's website. The Ponzi Factor. Proof by Definition.)

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    

    Objects are introduced early, right after control structures and before arrays and pointers. The STL string class is used throughout. As with all Gaddis books, there is a strong emphasis on problem solving and program design, a careful step-by-step introduction of each new topic, clear and easy to read code listings, concise and practical real world examples, and an abundance of exercises in each chapter.

    

    Some of the objects are described by future historians; others through found materials, short stories, or dialogues. All come from a very real future.

    This approach constantly reminds students of the logic behind what they are learning, and each procedure is taught both verbally and numerically, which helps to emphasize the concepts. Thoroughly revised, with new content and many new practice examples, this text takes the reader from basic procedures through analysis of variance (ANOVA). Students cover statistics and also learn to read and inderstand research articles. - SPSS examplesincluded with each procedure - Dozens of examples updated (especially the in-the-research-literature ones) - Reorganization - The self-contained chapters on correlation and regression have been moved after t-test and analysis of variance - Emphasis on definitional formulas - As opposed to computational formulas - Practical, up-to-date excerpts - For each procedure, the text explains how results are described in research articles. example being described in each way - Interesting examples throughout - Often include studies of or by researchers of diverse ethnicities - Complete package of ancillary materials - A web page with additional practice problems and extensive interactive study materials, plus four mini chapters covering additional material not in the text, a very substantial test bank; an instructors' manual that provides sample syllabi, lecture outlines, and ready-to-copy (or download) power-point slides or transparencies with examples not in the book; and a very complete students' study guide that also provides a thorough workbook for using SPSS with this book.

    Unfortunately, most of us were never taught how to think and communicate about money. The Money Code is a modern tale of one person's journey to uncover the five secrets to living his one best financial life. Through his voyage, you will learn how to:- Prevent bad decisions about money- Identify your Money Mind‚ Fear, Happiness, or Commitment and how it affects every financial decision you make- Use a custom checklist to improve your entire financial life- Clearly discuss decisions about money with the ones you love- Finally take control of your financial life

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

     I have described the fundamental concepts of Price Action in the Part I, the basic knowledge which any trader needs. In Part II, I have illustrate seven TRAP setups you can find on any chart, along with examples and studies for you to better understand the TRAP concept. The only consistent setup you will find on every day, every market and every time frame. • Common Trap • The “Stop-Loss” Trap • “The Giant” Trap • “Failed Breakout” Trap • “Back to Back” Trap (Double-Trap) • News Trap • Morning Specials Trap setups come with minimal risk and maximum potential reward. It’s very simple to understand and exploit. This EBook is written in simplest English, that everybody can understand the complexity of market within 1 week.

    This is the secret that lets tiny quantitative edges create hedge fund billionaires, and defines the powerful modern global derivatives economy. The same practical techniques are still used today by risk-takers in finance as well as many other fields. "Red-Blooded Risk" examines this approach and offers valuable advice for the calculated risk-takers who need precise quantitative guidance that will help separate them from the rest of the pack. While most commentators say that the last financial crisis proved it's time to follow risk-minimizing techniques, they're wrong. The only way to succeed at anything is to manage true risk, which includes the chance of loss. "Red-Blooded Risk" presents specific, actionable strategies that will allow you to be a practical risk-taker in even the most dynamic markets.Contains a secret history of Wall Street, the parts all the other books leave outIncludes an intellectually rigorous narrative addressing what it takes to really make it in any risky activity, on or off Wall StreetAddresses essential issues ranging from the way you think about chance to economics, politics, finance, and lifeWritten by Aaron Brown, one of the most calculated and successful risk takers in the world of finance, who was an active participant in the creation of modern risk management and had a front-row seat to the last meltdownWritten in an engaging but rigorous style, with no equationsContains illustrations and graphic narrative by renowned manga artist Eric KimThere are people who disapprove of every risk before the fact, but never stop anyone from doing anything dangerous because they want to take credit for any success. The recent financial crisis has swelled their ranks, but in learning how to break free of these people, you'll discover how taking on the right risk can open the door to the most profitable opportunities.

    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.