The Return of Simple


Book Description

Collected humorous stories from the iconic American writer’s newspaper column, featuring his most memorable and spirited fictional character. In 1940, Langston Hughes introduced Jesse B. Semple, or “Simple,” to readers in his Chicago Defender column, “From Here to Yonder.” From his familiar perch in a fictional Harlem bar, Simple held forth on a variety of subjects—low wages, interracial marriage, birth control, race riots, the police—then central to black life in urban America. More than fifty years later, Simple’s concerns are, startlingly, still ours, and his voice, ringing with poetic wisdom and humor, reminds us of the rich African American folk tradition Langston Hughes helped to revive. This brilliantly edited collection by Akiba Sullivan Harper brings together the best stories from a number of Simple volumes long out of print and a few never before published. Its feel is so contemporary and relevant to American life one must marvel at Hughes’s ability to pass through the barrier of time. Praise for The Return of Simple “A glorious revelation . . . a chance for fairweather Hughes fans to acquaint themselves with something other than his poems and plays. This is the author as loquacious unleashed social commentator, who—prompted by ‘just one more beer, my friend’—holds up a mirror and shows us the world, which hasn’t changed very much, not in all this time.” —Boston Globe “Hughes’s slices of urban black life belong also to the larger continuum of great American humor, from Mark Twain to Armistead Maupin. Quite simply, an indispensable part of our cultural heritage.” —Kirkus Reviews




A Plain Pine Box


Book Description




Budgeting Basics and Beyond


Book Description

If the very thought of budgets pushes your sanity over the limit, then this practical, easy-to-use guide is just what you need. Budgeting Basics and Beyond, Third Edition equips you with an all-in-one resource guaranteed to make the budgeting process easier, less stressful, and more effective. Written by Jae Shim and Joel Siegel, the new edition covers Balanced Scorecard, budgeting for nonprofit organizations, business simulations for executive and management training, and much more!




An Introduction to Analysis of Financial Data with R


Book Description

A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.




Analysis of Financial Time Series


Book Description

Provides statistical tools and techniques needed to understandtoday's financial markets The Second Edition of this critically acclaimed text provides acomprehensive and systematic introduction to financial econometricmodels and their applications in modeling and predicting financialtime series data. This latest edition continues to emphasizeempirical financial data and focuses on real-world examples.Following this approach, readers will master key aspects offinancial time series, including volatility modeling, neuralnetwork applications, market microstructure and high-frequencyfinancial data, continuous-time models and Ito's Lemma, Value atRisk, multiple returns analysis, financial factor models, andeconometric modeling via computation-intensive methods. The author begins with the basic characteristics of financialtime series data, setting the foundation for the three maintopics: Analysis and application of univariate financial timeseries Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text,including the addition of S-Plus® commands and illustrations.Exercises have been thoroughly updated and expanded and include themost current data, providing readers with more opportunities to putthe models and methods into practice. Among the new material addedto the text, readers will find: Consistent covariance estimation under heteroscedasticity andserial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing adeeper understanding of financial markets through firsthandexperience in working with financial data. This is an idealtextbook for MBA students as well as a reference for researchersand professionals in business and finance.




I Am Dandy


Book Description

In a world of uniformity and globalized styles, only some cultivated gentlemen retain their independence over the way they dress and live. In this book, photographer Rose Callahan and writer Nathaniel Adams document the well-kempt lives of 57 protagonists of contemporary dandyism with a keen, yet empathie eye. Their carefully composed portraits not only depict the clothes, accessories, and homes of their subjects, but also capture the essence of their lifestyles in thoroughly entertaining and deeply insightful texts. The diversity of the men portrayed in I am Dandy is striking. They come from a variety of different countries, cultures, and social circles and make their livings in a range of occupations. By showcasing their styles, attitudes, and philosophies in all of their nuances, the book reveals that dandyism today is an attitude and calling that can be cultivated on any budget.




Introductory Econometrics for Finance


Book Description

This best-selling introduction to econometrics is specifically written for finance students. The new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts.




Tax Preparation Made Simple


Book Description

This book will give you the tools to prepare some of the most common tax returns. As you read through each chapter, you will learn the tax laws and see them in practice with comprehensive illustrations. Throughout the book there are review questions and tax problems for you to work out, because we believe practice is the key to learning. We have included an Answer Guide in the Appendix to assist you. There are two parts to this text. The first part will teach you to prepare a basic return while the second part will introduce some of the more involved aspects of taxation. Each chapter focuses on certain aspects and walks you through that aspect of the tax return step by step. By the time you finish this book you will be amazed at how easy it is to prepare a tax return! Mary W. Adams in an Enrolled Agent, eligible to represent taxpayers before the Internal Revenue Service. She has been preparing tax returns for several years with ABS Tax Service in Mobile, Alabama, giving her real world knowledge of tax preparation. She has been teaching tax preparation courses since 2001 and has captured the fundamentals of basic tax preparation in her own work, while trying to make the learning process as enjoyable as is the teaching process for her. She lives in Mobile, Alabama, with her husband and three children. She continues to prepare tax returns for ABS Tax Service.




Statistical Analysis of Financial Data


Book Description

Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated. The appendix also describes how to use R to obtain current financial data from the internet. Chapter 2 describes the methods of exploratory data analysis, especially graphical methods, and illustrates them on real financial data. Chapter 3 covers probability distributions useful in financial analysis, especially heavy-tailed distributions, and describes methods of computer simulation of financial data. Chapter 4 covers basic methods of statistical inference, especially the use of linear models in analysis, and Chapter 5 describes methods of time series with special emphasis on models and methods applicable to analysis of financial data. Features * Covers statistical methods for analyzing models appropriate for financial data, especially models with outliers or heavy-tailed distributions. * Describes both the basics of R and advanced techniques useful in financial data analysis. * Driven by real, current financial data, not just stale data deposited on some static website. * Includes a large number of exercises, many requiring the use of open-source software to acquire real financial data from the internet and to analyze it.




Simple, Fair and Pro-growth


Book Description

The official account of the advisory panel formed by Presi-dent George W. Bush to identify major problems in the U.S.Federal Tax Code and to recommend options to make the codesimpler, fairer and more conducive to economic growth. Thepanel's report was submitted to U.S. Secretary of the Trea-sury John W. Snow on Nov. 1, 2005. Chaired by Connie MackIII, the panel recommended 2 reform options: the SimplifiedIncome Tax Plan & the Growth & Investment Tax Plan.