Download or read book Interpreting Our Heritage EasyRead Super Large 18pt Edition written by Freeman Tilden and published by ReadHowYouWant.com. This book was released on 1967 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Interpreting Our Heritage Volume 1 of 2 EasyRead Super Large 24pt Edition written by Freeman Tilden and published by ReadHowYouWant.com. This book was released on 1977 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Salsa Soul and Spirit Volume 2 of 2 EasyRead Super Large 20pt Edition written by and published by ReadHowYouWant.com. This book was released on with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Essays and Lectures EasyRead Super Large 20pt Edition written by Oscar Wilde and published by ReadHowYouWant.com. This book was released on 2015 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Confessions of an Economic Hit Man written by John Perkins and published by Berrett-Koehler Publishers. This book was released on 2004-11-09 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perkins, a former chief economist at a Boston strategic-consulting firm, confesses he was an "economic hit man" for 10 years, helping U.S. intelligence agencies and multinationals cajole and blackmail foreign leaders into serving U.S. foreign policy and awarding lucrative contracts to American business.
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
Download or read book International Business Society Management written by Rob van Tulder and published by Routledge. This book was released on 2005-12-16 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on a wealth of experience, both in research and teaching the authors of this book have developed a text that integrates reputation, responsibility, ethics and accountability.
Download or read book Managing the Transition to a Sustainable Enterprise written by Rob van Tulder and published by Routledge. This book was released on 2013-09-23 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: In combining practice and theory, this textbook provides a management perspective on the ‘business case’ for sustainability. Drawing on examples from 20 frontrunner companies located in the Netherlands, it builds upon a unique research project in which CEOs and middle-managers gave access not only to their decision-making process, but also revealed how their perceptions shaped the transition process. This book identifies four different archetypes of business cases and related business models that business students and managers can use to identify phases and related attitudes towards sustainability. The book provides in-depth analysis and insight into: • theoretical concepts and an overview of the relevant literature • the different business cases for sustainability • behavioural characteristics of each phase and the typical barriers between them • more than 70 tipping points • approaches to shaping stakeholder dialogue • effective engagement of stakeholders in each phase of transition • how companies move through the phases towards higher levels of sustainability • insights of employees of the 20 companies whether the business case was really achieved • summary of the interventions which have proved successful in these companies. This book offers students as well as managers of vocational and academic institutions at undergraduate and postgraduate level insight into real-life transition processes towards sustainability.
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. The previous edition of this now-classic book revealed the existence and subversive manipulations of "economic hit men. John Perkins wrote that they are highly paid professionals who cheat countries around the globe out of trillions of dollars. Their tools include fraudulent financial reports, rigged elections, payoffs, extortion, sex, and murder. In Perkins's case the tool was debt-convincing strategically important countries to borrow huge amounts of money for enormous, development projects that served the very rich while driving the country deeper into poverty and debt. And once indebted, these countries could be controlled. In this latest edition, Perkins provides revealing new details about how he and others did their work. But more importantly, in an explosive new section he describes how the EHM tools are being used around the world more widely than ever-even in the U. S. itself. The cancer has metastasized, yet most people still aren't aware of it. Fear and debt drive the EHM system. We are hammered with messages that terrify us into believing that we must pay any price, assume any debt, to stop the enemies who, we are told, lurk at our doorsteps. The EHM system-employing false economics, bribes, surveillance, deception, debt, coups, assassinations, unbridled military power-has become the dominant system of economics, government, and society today. It has created what Perkins calls a Death Economy. But Perkins offers hope: he concludes with dozens of specific, concrete suggestions for actions all of us can take to wrest control of our world away from the economic hit men, and help give birth to a Life Economy.
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.
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
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.
Download or read book Python for Finance written by Yuxing Yan and published by Packt Publishing Ltd. This book was released on 2014-04-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Download or read book Hands On Python for Finance written by Krish Naik and published by . This book was released on 2019-03-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras Key Features Understand Python data structure fundamentals and work with time series data Use popular Python libraries including TensorFlow, Keras, and SciPy to deploy key concepts in quantitative finance Explore various Python programs and learn finance paradigms Book Description Python is one of the most popular languages used for quantitative finance. With this book, you'll explore the key characteristics of Python for finance, solve problems in finance, and understand risk management. The book starts with major concepts and techniques related to quantitative finance, and an introduction to some key Python libraries. Next, you'll implement time series analysis using pandas and DataFrames. The following chapters will help you gain an understanding of how to measure the diversifiable and non-diversifiable security risk of a portfolio and optimize your portfolio by implementing Markowitz Portfolio Optimization. Sections on regression analysis methodology will help you to value assets and understand the relationship between commodity prices and business stocks. In addition to this, you'll be able to forecast stock prices using Monte Carlo simulation. The book will also highlight forecast models that will show you how to determine the price of a call option by analyzing price variation. You'll also use deep learning for financial data analysis and forecasting. In the concluding chapters, you will create neural networks with TensorFlow and Keras for forecasting and prediction. By the end of this book, you will be equipped with the skills you need to perform different financial analysis tasks using Python What you will learn Clean financial data with data preprocessing Visualize financial data using histograms, color plots, and graphs Perform time series analysis with pandas for forecasting Estimate covariance and the correlation between securities and stocks Optimize your portfolio to understand risks when there is a possibility of higher returns Calculate expected returns of a stock to measure the performance of a portfolio manager Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow Who this book is for This book is ideal for aspiring data scientists, Python developers and anyone who wants to start performing quantitative finance using Python. You can also make this beginner-level guide your first choice if you're looking to pursue a career as a financial analyst or a data analyst. Working knowledge of Python programming language is necessary.
Download or read book W Arthur Lewis and the Birth of Development Economics written by Robert L. Tignor and published by Princeton University Press. This book was released on 2020-06-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: W. Arthur Lewis was one of the foremost intellectuals, economists, and political activists of the twentieth century. In this book, the first intellectual biography of Lewis, Robert Tignor traces Lewis's life from its beginnings on the small island of St. Lucia to Lewis's arrival at Princeton University in the early 1960s. A chronicle of Lewis's unfailing efforts to promote racial justice and decolonization, it provides a history of development economics as seen through the life of one of its most important founders. If there were a record for the number of "firsts" achieved by one man during his lifetime, Lewis would be a contender. He was the first black professor in a British university and also at Princeton University and the first person of African descent to win a Nobel Prize in a field other than literature or peace. His writings, which included his book The Theory of Economic Growth, were among the first to describe the field of development economics. Quickly gaining the attention of the leadership of colonized territories, he helped develop blueprints for the changing relationship between the former colonies and their former rulers. He made significant contributions to Ghana's quest for economic growth and the West Indies' desire to create a first-class institution of higher learning serving all of the Anglophone territories in the Caribbean. This book, based on Lewis's personal papers, provides a new view of this renowned economist and his impact on economic growth in the twentieth century. It will intrigue not only students of development economics but also anyone interested in colonialism and decolonization, and justice for the poor in third-world countries.
Download or read book Interpreting Our Heritage EasyRead Super Large 20pt Edition written by Freeman Tilden and published by ReadHowYouWant.com. This book was released on 1984 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book ESV Economy Bible written by and published by . This book was released on 2017-02-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed especially for outreach, the ESV Economy Bible is a great resource for reaching the world with God's Word.
