A Practical Introduction To Econometric Methods PDF Download

A Practical Introduction to Econometric Methods PDF
Author: Patrick K. Watson
Publisher: University of West Indies Press
Size: 11.91 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 307
View: 6910

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An introduction to the theory and practice of classical and modern econometric methods. It seeks to help the reader: understand the scope and limitations of econometrics; read, write and interpret articles and reports of an applied econometric nature; and to build upon the elements introduced.

A Practical Introduction To Day Trading PDF Download

A Practical Introduction to Day Trading PDF
Author: Don Charles
Publisher: Cambridge Scholars Publishing
Size: 22.81 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 133
View: 3352

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Many individuals enter financial markets with the objective of earning a profit from capitalizing on price fluctuations. However, many of these new traders lose their money in attempting to do so. The reason for this is often because these new traders lack any fundamental understanding of financial markets, they cannot interpret any data, and they have no strategy for trading. Trading in markets is really about deploying strategies and managing risks. Indeed, successful traders are those who have strategies which they have proved to be consistent in granting them more financial gains than financial losses. The purpose of this book is to help a potentially uninformed retail trader or inquisitive reader understand more about financial markets, and assist them in gaining the technical skills required to profit from trading. It represents a beginner’s guide to trading, with a core focus on stocks and currencies.

Spreadsheet Modeling And Decision Analysis A Practical Introduction To Business Analytics PDF Download

Spreadsheet Modeling and Decision Analysis  A Practical Introduction to Business Analytics PDF
Author: Cliff Ragsdale
Publisher: Cengage Learning
Size: 17.95 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 840
View: 4052

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SPREADSHEET MODELING AND DECISION ANALYSIS, Seventh Edition, provides instruction in the most commonly used management science techniques and shows how these tools can be implemented using Microsoft Office Excel 2013. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Spreadsheet Modeling Decision Analysis A Practical Introduction To Business Analytics PDF Download

Spreadsheet Modeling   Decision Analysis  A Practical Introduction to Business Analytics PDF
Author: Cliff Ragsdale
Publisher: Cengage Learning
Size: 64.21 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 864
View: 4075

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Written by an innovator in teaching spreadsheets and a highly regarded leader in business analytics, Cliff Ragsdale’s SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS ANALYTICS, 8E helps readers master important spreadsheet and business analytics skills. Readers find everything needed to become proficient in today’s most widely used business analytics techniques using Microsoft Office Excel 2016. Learning to make effective decisions in today's business world takes training and experience. Author Cliff Ragsdale guides learners through the skills needed, using the latest Excel for Windows. Readers apply what they’ve learned to real business situations with step-by-step instructions and annotated screen images that make examples easy to follow. The World of Management Science sections further demonstrates how each topic applies to a real company. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A Concise Introduction To Econometrics PDF Download

A Concise Introduction to Econometrics PDF
Author: Philip Hans Franses
Publisher: Cambridge University Press
Size: 21.99 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 117
View: 3171

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This 2002 book is an ideal practical introduction to the basics of econometrics.

The Econometrics Of Individual Risk PDF Download

The Econometrics of Individual Risk PDF
Author: Christian Gourieroux
Publisher: Princeton University Press
Size: 69.52 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 256
View: 5111

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The individual risks faced by banks, insurers, and marketers are less well understood than aggregate risks such as market-price changes. But the risks incurred or carried by individual people, companies, insurance policies, or credit agreements can be just as devastating as macroevents such as share-price fluctuations. A comprehensive introduction, The Econometrics of Individual Risk is the first book to provide a complete econometric methodology for quantifying and managing this underappreciated but important variety of risk. The book presents a course in the econometric theory of individual risk illustrated by empirical examples. And, unlike other texts, it is focused entirely on solving the actual individual risk problems businesses confront today. Christian Gourieroux and Joann Jasiak emphasize the microeconometric aspect of risk analysis by extensively discussing practical problems such as retail credit scoring, credit card transaction dynamics, and profit maximization in promotional mailing. They address regulatory issues in sections on computing the minimum capital reserve for coverage of potential losses, and on the credit-risk measure CreditVar. The book will interest graduate students in economics, business, finance, and actuarial studies, as well as actuaries and financial analysts.

Econometric Methods For Labour Economics PDF Download

Econometric Methods for Labour Economics PDF
Author: Stephen Bazen
Publisher: Oxford University Press
Size: 78.14 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 148
View: 5959

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An accessible presentation of the standard statistical techniques used by labour economists. It emphasises both the input and output of empirical analysis and covers the application of five major econometric methods.

Modeling Techniques In Predictive Analytics With Python And R PDF Download

Modeling Techniques in Predictive Analytics with Python and R PDF
Author: Thomas W. Miller
Publisher: FT Press
Size: 59.48 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 448
View: 900

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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Econometric Methods With Applications In Business And Economics PDF Download

Econometric Methods with Applications in Business and Economics PDF
Author: Christiaan Heij
Publisher: OUP Oxford
Size: 43.87 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 816
View: 1582

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Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.

The Econometric Analysis Of Non Uniqueness In Rational Expectations Models PDF Download

The Econometric Analysis of Non Uniqueness in Rational Expectations Models PDF
Author: L. Broze
Publisher: Elsevier
Size: 63.73 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 245
View: 2693

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This book is devoted to the econometric analysis of linear multivariate rational expectation models. It shows that the interpretation of multiplicity in terms of "new degrees of freedom" is consistent with a rigorous econometric reasoning. Non-uniqueness is the central theme of this book. Each chapter is concerned with a specific econometric aspect of rational expectations equilibria. The most constructive result lies in the possibility of an empirical determination of the equilibrium followed by the economy.

An Introduction To State Space Time Series Analysis PDF Download

An Introduction to State Space Time Series Analysis PDF
Author: Jacques J. F. Commandeur
Publisher: OUP Oxford
Size: 19.62 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 192
View: 1890

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Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers a step by step approach to the analysis of the salient features in time series such as the trend, seasonal, and irregular components. Practical problems such as forecasting and missing values are treated in some detail. This useful book will appeal to practitioners and researchers who use time series on a daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a basic time series course in econometrics and statistics, typically at an advanced undergraduate level or graduate level.