Weygandt, Paul D. Kimmel, and Donald E. Kieso, which incorporates International Financial Reporting Standards (IFRS) into the existing textbook framework. On almost every page, the book addresses every accounting topic from the perspective of IFRS while still highlighting key differences between IFRS and US GAAP. Following the reputation for accuracy, comprehensiveness, and currency, the authors have painstakingly created a book dedicated to assisting students learning accounting topics under the rules of IFRS.

    The new edition provides invitations - not requirements - to use technology, as well as new conceptual problems, and new projects that focus on writing and working in teams.

    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

    This book is written in a simple manner for readers to understand the various terminologies and working process of the financial markets. If you are looking to understand and enter the stock markets but don't know from where to start, then this book is for you. The basic concepts are same for Indian and overseas markets so it will help you understanding both. It will help you as a reference guide for investing in stock markets. Specifically it will help you in:- 1. Know basic terms and conditions of the stock market. 2. Know products and services associated with the stock market. 3. Know how to kick start in stock markets. 4. know Do's and Don'ts in Stock Markets. 5. Selecting a broker. 6. How to make your first trade. 7. Additional mental mastering technique that will help you to achieve more on markets as well in life. 8. Insight of a trader/investor who has more than 10+ years of experience in stock markets. 9. Illustrated examples for more clarity on topics.

     They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them.  They were accustomed to risking billions.     At the card table that night was Peter Muller, an eccentric, whip-smart whiz kid who’d studied theoretical mathematics at Princeton and now managed a fabulously successful hedge fund called PDT…when he wasn’t playing his keyboard for morning commuters on the New York subway.  With him was Ken Griffin, who as an undergraduate trading convertible bonds out of his Harvard dorm room had outsmarted the Wall Street pros and made money in one of the worst bear markets of all time.  Now he was the tough-as-nails head of Citadel Investment Group, one of the most powerful money machines on earth. There too were Cliff Asness, the sharp-tongued, mercurial founder of the hedge fund AQR, a man as famous for his computer-smashing rages as for his brilliance, and Boaz Weinstein, chess life-master and king of the credit default swap, who while juggling $30 billion worth of positions for Deutsche Bank found time for frequent visits to Las Vegas with the famed MIT card-counting team.     On that night in 2006, these four men and their cohorts were the new kings of Wall Street.  Muller, Griffin, Asness, and Weinstein were among the best and brightest of a  new breed, the quants.  Over the prior twenty years, this species of math whiz --technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers-- had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino.  The quants believed that a dizzying, indecipherable-to-mere-mortals cocktail of differential calculus, quantum physics, and advanced geometry held the key to reaping riches from the financial markets.  And they helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse.     Few realized that night, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster.     Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize – and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast.  Had their years of success been dumb luck, fool’s gold, a good run that could come to an end on any given day?  What if The Truth they sought -- the secret of the markets -- wasn’t knowable? Worse, what if there wasn’t any Truth?   In The Quants, Scott Patterson tells the story not just of these men, but of Jim Simons, the reclusive founder of the most successful hedge fund in history; Aaron Brown, the quant who used his math skills to humiliate Wall Street’s old guard at their trademark game of Liar’s Poker, and years later found himself with a front-row seat to the rapid emergence of mortgage-backed securities; and gadflies and dissenters such as Paul Wilmott, Nassim Taleb, and Benoit Mandelbrot.     With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris…and an ominous warning about Wall Street’s future.

    Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin.See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web.Many Solidity tutorials out there today have the same flaw: they are written for "advanced" JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You'll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment.What You'll LearnSee how Ethereum (and other cryptocurrencies) workCompare distributed apps (dapps) to web appsWrite Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applicationsDeploy your own dapp, coin, and blockchainWork with basic and intermediate smart contractsWho This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmersExperts will find the advanced sample projects in this book rewarding because of the power of Solidity

    Beginning at the intermediate level and ending at a level appropriate for the graduate student, this is a core text for upper level undergraduate and taught graduate microeconomics courses.

    This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

    Why you should be a commercial investor, where the biggest pitfalls are, which types of properties are best for those just getting started, how to analyze any commercial deal quickly, how to speak the language of commercial real estate, the 4 guiding principles of commercial investment and much, much more. Let the author of Commercial Real Estate Investing for Dummies walk you through how to get started in Commercial Real Estate in this incredibly informative book.

    This comprehensive, market-leading text emphasizes the three major driving forces behind e-commerce: technology change, business development, and social controversies. Each of these driving forces is represented in every chapter, and together they provide a coherent conceptual framework for understanding e-commerce, typical of Laudon books. The book offers in-depth and comprehensive coverage of concepts in marketing, economics, IS/IT, privacy and intellectual property. The book contains numerous case studies and an additional case book is available.

    This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies

    Not anymore. The best-selling author of The Complete Idiot's Guide® to Calculus has taken what appears to be a typical calculus workbook, chock full of solved calculus problems, and made legible notes in the margins, adding missing steps and simplifying solutions. Finally, everything is made perfectly clear. Students will be prepared to solve those obscure problems that were never discussed in class but always seem to find their way onto exams.--Includes 1,000 problems with comprehensive solutions--Annotated notes throughout the text clarify what's being asked in each problem and fill in missing steps--Kelley is a former award-winning calculus teacher

    Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.

    It is important for every person to save for one’s retirement as one can expect to live for twenty years after one retires as life expectancy of an Indian is going up steadily due to lower infant mortality and better medical care. There is a complete absence of social security safety net for most Indians today, even for those working in Government sector, there is no inflation adjusted pension available anymore. I have tried to simplify the advantages and disadvantages involved in investing your savings in various asset classes. I have deliberately left out two of the most popular forms of investment among middle class Indians 1) Life insurance 2) Real estate Let us consider life insurance first most of us confuse insurance as an instrument of savings, it is not. We have this wrong view because of the tax breaks given to income tax assesses by the Central Government. Insurance is a product that mitigates risk and is sold by the rich to the middle class and is always skewed in the favour of the insurer rather than the insured. A substantial portion of the total money invested by you goes towards paying agent’s commission and premium for insuring you for the risk of mortality. The balance left out is invested in government securities and other securities. Hence the amount of money invested out of the total premium paid is less than half paid by the insurer. The return on money invested by the policy holder is less than half of the money he would have earned either in bonds or fixed deposits. A person who needs insurance is a person whose family will need support in the event of his untimely death. Alternately insurance is required for a person who has debt in form of mortgage and does not want to burden his family in the event of his passing. The product which covers these risks is called term insurance. One should not buy insurance to avoid taxes as there is better tax saving tools available. Real estate is also considered as a good investment by several retail investors but nothing can be further from the truth. Nobody makes money by buying plots in the middle of nowhere. The easy availability of mortgages from the nineties and the tax breaks given by the Central Government on housing loans has created an unparalleled boom in the residential market. There is now a painful correction process under way in that sector. The price of land is reflexively connected to availability of money. The lower the cost of money, greater the returns in real estate. Buying plots in the middle of nowhere is similar to buying lottery tickets as investment. Land cannot be liquidated immediately into cash at a short notice to meet urgent requirements. Cost of maintenance and protection of real estate from illegal occupation is prohibitive and time consuming. Verification of title deeds to the property is a complex process and needs sound legal advice. You should have a house to live and another to collect rent as rent is equivalent of inflation adjusted pension. The return on investment generated in the three different asset classes over 25 years would be in the following order 1) Equities 2) Gold and finally 3) Debt instruments. I enjoyed writing this book as a companion volume to my first book. It is my fond hope that you enjoy reading this book.

    Collected from the series of blog posts starting at: https://bartoszmilewski.com/2014/10/2...Hardcover available at: http://www.blurb.com/b/9008339-catego...