Sas For Finance

Download Sas For Finance full books in PDF, epub, and Kindle. Read online Sas For Finance ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

SAS for Finance

Author : Harish Gulati
Publisher : Packt Publishing Ltd
ISBN 13 : 1788622480
Total Pages : 299 pages
Book Rating : 4.7/5 (886 download)

DOWNLOAD NOW!

Book Synopsis SAS for Finance by : Harish Gulati

Download or read book SAS for Finance written by Harish Gulati and published by Packt Publishing Ltd. This book was released on 2018-05-30 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the analytical power of SAS to perform financial analysis efficiently Key Features Leverage the power of SAS to analyze financial data with ease Find hidden patterns in your data, predict future trends, and optimize risk management Learn why leading banks and financial institutions rely on SAS for financial analysis Book Description SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data. SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs. By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data. What you will learn Understand time series data and its relevance in the financial industry Build a time series forecasting model in SAS using advanced modeling theories Develop models in SAS and infer using regression and Markov chains Forecast inflation by building an econometric model in SAS for your financial planning Manage customer loyalty by creating a survival model in SAS using various groupings Understand similarity analysis and clustering in SAS using time series data Who this book is for Financial data analysts and data scientists who want to use SAS to process and analyze financial data and find hidden patterns and trends from it will find this book useful. Prior exposure to SAS will be helpful but is not mandatory. Some basic understanding of the financial concepts is required.

Portfolio and Investment Analysis with SAS

Author : John B. Guerard
Publisher : SAS Institute
ISBN 13 : 1635266890
Total Pages : 277 pages
Book Rating : 4.6/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Portfolio and Investment Analysis with SAS by : John B. Guerard

Download or read book Portfolio and Investment Analysis with SAS written by John B. Guerard and published by SAS Institute. This book was released on 2019-04-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.

Project Finance for Business Development

Author : John E. Triantis
Publisher : John Wiley & Sons
ISBN 13 : 1119486084
Total Pages : 404 pages
Book Rating : 4.1/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Project Finance for Business Development by : John E. Triantis

Download or read book Project Finance for Business Development written by John E. Triantis and published by John Wiley & Sons. This book was released on 2018-05-08 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Raise the skill and competency level of project finance organizations Project Finance for Business Development helps readers understand how to develop a competitive advantage through project finance. Most importantly, it shows how different elements of project finance, such as opportunity screening and evaluation, project development, risk management, and due diligence come together to structure viable and financeable projects—which are crucial pieces missing from the current literature. Eliminating misconceptions about what is really important for successful project financings, this book shows you how to develop, structure, and implement projects successfully by creating competitive advantage. By shedding light on project finance failures, it also helps you avoid failures of your own. • Offers a roadmap for successful financing, participant roles and responsibilities, and assessing and testing project viability • Considers project finance from a broad business development and competitive advantage • Provides a strategic decision-forecasting perspective • Delves deeper than existing treatments of project finance into decisions needed to create and implement effective financing plans Helping readers develop, structure, and implement projects successfully by creating competitive advantage, this book is a useful tool for project sponsors and developers, helping them structure and implement projects by creating competitive advantage.

Practical Business Analytics Using SAS

Author : Shailendra Kadre
Publisher : Apress
ISBN 13 : 1484200438
Total Pages : 565 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis Practical Business Analytics Using SAS by : Shailendra Kadre

Download or read book Practical Business Analytics Using SAS written by Shailendra Kadre and published by Apress. This book was released on 2015-02-07 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just enough theory to understand the practical examples and case studies, which cover all industries. Written for a corporate IT and programming audience that wants to upgrade skills or enter the analytics field, this book includes: More than 200 examples and exercises, including code and datasets for practice. Relevant examples for all industries. Case studies that show how to use SAS analytics to identify opportunities, solve complicated problems, and chart a course. Practical Business Analytics Using SAS: A Hands-on Guide gives you the tools you need to gain insight into the data at your fingertips, predict business conditions for better planning, and make excellent decisions. Whether you are in retail, finance, healthcare, manufacturing, government, or any other industry, this book will help your organization increase revenue, drive down costs, improve marketing, and satisfy customers better than ever before.

Credit Risk Analytics

Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1119143985
Total Pages : 517 pages
Book Rating : 4.1/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Credit Risk Analytics by : Bart Baesens

Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Financial Data Science with SAS

Author : Babatunde O Odusami
Publisher : SAS Institute
ISBN 13 : 1685800157
Total Pages : 405 pages
Book Rating : 4.6/5 (858 download)

DOWNLOAD NOW!

Book Synopsis Financial Data Science with SAS by : Babatunde O Odusami

Download or read book Financial Data Science with SAS written by Babatunde O Odusami and published by SAS Institute. This book was released on 2024-06-14 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to implement data visualization, simulation, statistical predictive models, machine learning models, and financial optimizations using real-world examples in the SAS Analytics environment. Each chapter ends with practice exercises that include use case scenarios to allow readers to test their knowledge. Designed for university students and financial professionals interested in boosting their data science skills, Financial Data Science with SAS is an essential reference guide for understanding how data science is used in the financial services industry and for learning how to use SAS to solve complex business problems.

Using SAS in Financial Research

Author : Ekkehart Boehmer
Publisher : SAS Press
ISBN 13 : 9781590470398
Total Pages : 0 pages
Book Rating : 4.4/5 (73 download)

DOWNLOAD NOW!

Book Synopsis Using SAS in Financial Research by : Ekkehart Boehmer

Download or read book Using SAS in Financial Research written by Ekkehart Boehmer and published by SAS Press. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers, graduate students, and practitioners in the financial market now have the first reference-style handbook detailing the mechanics of statistical testing on financial and accounting data. This one-of-a-kind book illustrates how to use SAS software to conduct basic empirical analyses of stock market and financial statement data. It covers various research topics, including investigating the predictability of stock returns, estimating the risk of common stock, and analyzing the impact of earnings and other financial statement information. The use of the SAS language to investigate these issues is demonstrated with numerous real-world examples employing traditional to state-of-the-art analytical estimation techniques. Main topics covered are variance ratio testing, capital asset pricing model, event studies, value versus growth, earnings response coefficients, and microstructure analysis. Readers will find the merging of theoretical and practical concepts unique and informative.

Fair Lending Compliance

Author : Clark R. Abrahams
Publisher : John Wiley & Sons
ISBN 13 : 9780470241899
Total Pages : 356 pages
Book Rating : 4.2/5 (418 download)

DOWNLOAD NOW!

Book Synopsis Fair Lending Compliance by : Clark R. Abrahams

Download or read book Fair Lending Compliance written by Clark R. Abrahams and published by John Wiley & Sons. This book was released on 2008-03-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Fair Lending ComplianceIntelligence and Implications for Credit Risk Management "Brilliant and informative. An in-depth look at innovative approaches to credit risk management written by industry practitioners. This publication will serve as an essential reference text for those who wish to make credit accessible to underserved consumers. It is comprehensive and clearly written." --The Honorable Rodney E. Hood "Abrahams and Zhang's timely treatise is a must-read for all those interested in the critical role of credit in the economy. They ably explore the intersection of credit access and credit risk, suggesting a hybrid approach of human judgment and computer models as the necessary path to balanced and fair lending. In an environment of rapidly changing consumer demographics, as well as regulatory reform initiatives, this book suggests new analytical models by which to provide credit to ensure compliance and to manage enterprise risk." --Frank A. Hirsch Jr., Nelson Mullins Riley & Scarborough LLP Financial Services Attorney and former general counsel for Centura Banks, Inc. "This book tackles head on the market failures that our current risk management systems need to address. Not only do Abrahams and Zhang adeptly articulate why we can and should improve our systems, they provide the analytic evidence, and the steps toward implementations. Fair Lending Compliance fills a much-needed gap in the field. If implemented systematically, this thought leadership will lead to improvements in fair lending practices for all Americans." --Alyssa Stewart Lee, Deputy Director, Urban Markets Initiative The Brookings Institution "[Fair Lending Compliance]...provides a unique blend of qualitative and quantitative guidance to two kinds of financial institutions: those that just need a little help in staying on the right side of complex fair housing regulations; and those that aspire to industry leadership in profitably and responsibly serving the unmet credit needs of diverse businesses and consumers in America's emerging domestic markets." --Michael A. Stegman, PhD, The John D. and Catherine T. MacArthur Foundation, Duncan MacRae '09 and Rebecca Kyle MacRae Professor of Public Policy Emeritus, University of North Carolina at Chapel Hill

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Author : Olivia Parr-Rud
Publisher : SAS Institute
ISBN 13 : 1629593273
Total Pages : 182 pages
Book Rating : 4.6/5 (295 download)

DOWNLOAD NOW!

Book Synopsis Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by : Olivia Parr-Rud

Download or read book Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner written by Olivia Parr-Rud and published by SAS Institute. This book was released on 2014-10 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-step instructions will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. --

Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses

Author : Cheng-Few Lee
Publisher : Springer
ISBN 13 : 3319388673
Total Pages : 1043 pages
Book Rating : 4.3/5 (193 download)

DOWNLOAD NOW!

Book Synopsis Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses by : Cheng-Few Lee

Download or read book Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses written by Cheng-Few Lee and published by Springer. This book was released on 2016-11-24 with total page 1043 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures. One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Financial Risk Management

Author : Jimmy Skoglund
Publisher : John Wiley & Sons
ISBN 13 : 1119157234
Total Pages : 578 pages
Book Rating : 4.1/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Financial Risk Management by : Jimmy Skoglund

Download or read book Financial Risk Management written by Jimmy Skoglund and published by John Wiley & Sons. This book was released on 2015-09-04 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.

Model Risk Management with SAS

Author : SAS
Publisher : SAS Institute
ISBN 13 : 1970170654
Total Pages : 117 pages
Book Rating : 4.9/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Model Risk Management with SAS by : SAS

Download or read book Model Risk Management with SAS written by SAS and published by SAS Institute. This book was released on 2020-06-29 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cut through the complexity of model risk management with a guide to solutions from SAS! There is an increasing demand for more model governance and model risk awareness. At the same time, high-performing models are expected to be deployed faster than ever. SAS Model Risk Management is a user-friendly, web-based application that facilitates the capture and life cycle management of statistical model-related information. It enables all stakeholders in the model life cycle — developers, validators, internal audit, and management – to get overview reports as well as detailed information in one central place. Model Risk Management with SAS introduces you to the features and capabilities of this software, including the entry, collection, transfer, storage, tracking, and reporting of models that are drawn from multiple lines of business across an organization. This book teaches key concepts, terminology, and base functionality that are integral to SAS Model Risk Management through hands-on examples and demonstrations. With this guide to SAS Model Risk Management, your organization can be confident it is making fact-based decisions and mitigating model risk.

Fraud Analytics with SAS

Author :
Publisher :
ISBN 13 : 9781642954753
Total Pages : 108 pages
Book Rating : 4.9/5 (547 download)

DOWNLOAD NOW!

Book Synopsis Fraud Analytics with SAS by :

Download or read book Fraud Analytics with SAS written by and published by . This book was released on 2019-06-21 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques. Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. Also available free as a PDF from: sas.com/books.

Too Big to Ignore

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1118641868
Total Pages : 256 pages
Book Rating : 4.1/5 (186 download)

DOWNLOAD NOW!

Book Synopsis Too Big to Ignore by : Phil Simon

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2013-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Learning SAS by Example

Author : Ron Cody
Publisher : SAS Institute
ISBN 13 : 1635266564
Total Pages : 536 pages
Book Rating : 4.6/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Learning SAS by Example by : Ron Cody

Download or read book Learning SAS by Example written by Ron Cody and published by SAS Institute. This book was released on 2018-07-03 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.

SAS Programming and Data Visualization Techniques

Author : Philip R. Holland
Publisher : Apress
ISBN 13 : 1484205685
Total Pages : 251 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis SAS Programming and Data Visualization Techniques by : Philip R. Holland

Download or read book SAS Programming and Data Visualization Techniques written by Philip R. Holland and published by Apress. This book was released on 2015-08-19 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Programming and Data Visualization Techniques: A Power User’s Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that this book’s insights can keep you from throwing money at problems needlessly. Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques—through code samples and example—that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs. He also provides an expert’s overview of Graph Templates, which was recently moved into Base SAS. You will learn to create attractive, standardized, reusable, and platform-independent graphs—both statistical and non-statistical—to help you and your business users explore, visualize, and capitalize on your company’s data. In addition, you will find many examples and cases pertaining to healthcare, finance, retail, and other industries. Among other things, SAS Programming and Data Visualization Techniques will show you how to: Write efficient and reus able SAS code Combine look-up data sets with larger data sets effectively Run R and Perl from SAS Run SAS programs from SAS Studio and Enterprise Guide Output data into insightful, valuable charts and graphs SAS Programming and Data Visualization Techniques prepares you to make better use of your existing SAS components by learning to use the newest features, improve your coding efficiency, help you develop applications that are easier to maintain, and make data analysis easier. In other words, it will save you time, money, and effort—and make you a more valuable member of the development team. What You'll Learn How to write more efficient SAS code—either code that runs quicker, code that is easier to maintain, or both How to do more with the SAS components you already license How to take advantage of the newest features in SAS How to interface external applications with SAS software How to create graphs using SAS ODS Graphics Who This Book Is For SAS programmers wanting to improve their existing programming skills, and programming managers wanting to make better use of the SAS software they already license.

Forecasting Examples for Business and Economics Using the SAS System

Author : SAS Institute
Publisher : Sas Inst
ISBN 13 : 9781555447632
Total Pages : 404 pages
Book Rating : 4.4/5 (476 download)

DOWNLOAD NOW!

Book Synopsis Forecasting Examples for Business and Economics Using the SAS System by : SAS Institute

Download or read book Forecasting Examples for Business and Economics Using the SAS System written by SAS Institute and published by Sas Inst. This book was released on 1996 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerous step-by-step examples show you--the economist, business forecaster, student, or researcher--how to use SAS to generate forecasts for a variety of business and economic data. Examples are based on both time series models and econometric models. You'll learn how to use SAS to forecast time series data using Box-Jenkins ARIMA methodology; develop and forecast transfer functions and intervention models; fit and forecast regression models with autocorrelated, heteroskedastic, and ARCH-GARCH error terms; estimate nonlinear regression models; create forecast confidence limits using Monte Carlo simulation; and more! The main focus of the book is on the code-based procedures in SAS/ETS software, but this book also provides an introduction to the interactive Time Series Forecasting System, and it shows how to plot data and forecasts with SAS/GRAPH software.