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Author:
Publisher: ReadHowYouWant.com
Published:
Total Pages: 446
ISBN-13: 1442961627
DOWNLOAD EBOOKDownload or read book A Game as Old as Empire (Volume 2 of 2) (EasyRead Super Large 20pt Edition) written by and published by ReadHowYouWant.com. This book was released on with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author:
Publisher: ReadHowYouWant.com
Published:
Total Pages: 394
ISBN-13: 1427055513
DOWNLOAD EBOOKDownload or read book The Return of Sherlock Holmes Volume 1 of 2 A Collection of Holmes Adventures (EasyRead Super Large 20pt Edition) written by and published by ReadHowYouWant.com. This book was released on with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: John Perkins
Publisher: Readhowyouwant
Published: 2008-10-13
Total Pages: 324
ISBN-13: 9781427087775
DOWNLOAD EBOOKEconomic hit men (EHMs) are highly paid professionals who cheat countries around the globe out of trillions of dollars. They funnel money from the World Bank, the U.S. Agency for International Development (USAID), and other foreign ""aid"" organizations into the coffers of huge corporations and the pockets of a few wealthy families who control the planet's natural resources. Their tools include fraudulent financial reports, rigged elections, payoffs, extortion, sex, and murder. They play a game as old as empire, but one that has taken on new and terrifying dimensions during this time of globalization.
Download or read book Confessions of an Economic Hit Man written by John Perkins and published by Readhowyouwant. This book was released on 2008-10-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economic hit men (EHMs) are highly paid professionals who cheat countries around the globe out of trillions of dollars. They funnel money from the World Bank, the U.S. Agency for International Development (USAID), and other foreign ""aid"" organizations into the coffers of huge corporations and the pockets of a few wealthy families who control the planet's natural resources. Their tools include fraudulent financial reports, rigged elections, payoffs, extortion, sex, and murder. They play a game as old as empire, but one that has taken on new and terrifying dimensions during this time of globalization.
Download or read book The Crucible written by Arthur Miller and published by . This book was released on 1982 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: John Perkins
Publisher: Berrett-Koehler Publishers
Published: 2016-02-09
Total Pages: 385
ISBN-13: 1626566755
DOWNLOAD EBOOKFeaturing 15 explosive new chapters, this new edition of the New York Times bestseller brings the story of Economic Hit Men up-to-date and, chillingly, home to the U.S.―but it also gives us hope and the tools to fight back. Former economic hit man John Perkins shares new details about the ways he and others cheated countries around the globe out of trillions of dollars. Then he reveals how the deadly EHM cancer he helped create has spread far more widely and deeply than ever in the US and everywhere else—to become the dominant system of business, government, and society today. Finally, he gives an insider view of what we each can do to change it. Economic hit men are the shock troops of what Perkins calls the corporatocracy, a vast network of corporations, banks, colluding governments, and the rich and powerful people tied to them. If the EHMs can't maintain the corrupt status quo through nonviolent coercion, the jackal assassins swoop in. The heart of this book is a completely new section, over 100 pages long, that exposes the fact that all the EHM and jackal tools—false economics, false promises, threats, bribes, extortion, debt, deception, coups, assassinations, unbridled military power—are used around the world today exponentially more than during the era Perkins exposed over a decade ago. As dark as the story gets, this reformed EHM also provides hope. Perkins offers specific actions each of us can take to transform what he calls a failing Death Economy into a Life Economy that provides sustainable abundance for all.
Download or read book The New Confessions of an Economic Hit Man written by John Perkins and published by Berrett-Koehler Publishers. This book was released on 2016-02-09 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring 15 explosive new chapters, this new edition of the New York Times bestseller brings the story of Economic Hit Men up-to-date and, chillingly, home to the U.S.―but it also gives us hope and the tools to fight back. Former economic hit man John Perkins shares new details about the ways he and others cheated countries around the globe out of trillions of dollars. Then he reveals how the deadly EHM cancer he helped create has spread far more widely and deeply than ever in the US and everywhere else—to become the dominant system of business, government, and society today. Finally, he gives an insider view of what we each can do to change it. Economic hit men are the shock troops of what Perkins calls the corporatocracy, a vast network of corporations, banks, colluding governments, and the rich and powerful people tied to them. If the EHMs can't maintain the corrupt status quo through nonviolent coercion, the jackal assassins swoop in. The heart of this book is a completely new section, over 100 pages long, that exposes the fact that all the EHM and jackal tools—false economics, false promises, threats, bribes, extortion, debt, deception, coups, assassinations, unbridled military power—are used around the world today exponentially more than during the era Perkins exposed over a decade ago. As dark as the story gets, this reformed EHM also provides hope. Perkins offers specific actions each of us can take to transform what he calls a failing Death Economy into a Life Economy that provides sustainable abundance for all.
Author: Allan Ahlberg
Publisher: Penguin UK
Published: 1991-08-01
Total Pages: 120
ISBN-13: 0141942479
DOWNLOAD EBOOK'The teacher tapped his forehead. At last! the children cried! The answer, Sir's, in your head... What a perfect place to hide' Jump into Allan Ahlberg's playful world of poetry, perfect for primary school children. Shed a tear for The Boy Without A Name, discover the secrets to teachers (they NEVER leave the school!?) and try to solve the riddles of The Answer. Packed with rhythmic poetry and playful songs, this timeless collection has delighted children for generations. 'Every desk should hide a copy; every staff room own one' - The Observer Discover more school stories from Alan Ahlberg: Starting School Please Mrs Butler
Download or read book Heard it in the Playground written by Allan Ahlberg and published by Penguin UK. This book was released on 1991-08-01 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'The teacher tapped his forehead. At last! the children cried! The answer, Sir's, in your head... What a perfect place to hide' Jump into Allan Ahlberg's playful world of poetry, perfect for primary school children. Shed a tear for The Boy Without A Name, discover the secrets to teachers (they NEVER leave the school!?) and try to solve the riddles of The Answer. Packed with rhythmic poetry and playful songs, this timeless collection has delighted children for generations. 'Every desk should hide a copy; every staff room own one' - The Observer Discover more school stories from Alan Ahlberg: Starting School Please Mrs Butler
Author: Yves Hilpisch
Publisher: "O'Reilly Media, Inc."
Published: 2014-12-11
Total Pages: 750
ISBN-13: 1491945389
DOWNLOAD EBOOKThe financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. 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 practices Financial 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 regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2014-12-11 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. 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 practices Financial 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 regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
Author: Eryk Lewinson
Publisher: Packt Publishing Ltd
Published: 2020-01-31
Total Pages: 426
ISBN-13: 1789617324
DOWNLOAD EBOOKSolve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Download or read book Python for Finance Cookbook written by Eryk Lewinson and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Author: Yves Hilpisch
Publisher: "O'Reilly Media, Inc."
Published: 2020-10-14
Total Pages: 478
ISBN-13: 1492055387
DOWNLOAD EBOOKThe widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Author: James Ma Weiming
Publisher: Packt Publishing Ltd
Published: 2015-04-29
Total Pages: 340
ISBN-13: 1784397873
DOWNLOAD EBOOKIf you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Download or read book Mastering Python for Finance written by James Ma Weiming and published by Packt Publishing Ltd. This book was released on 2015-04-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
