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| Author | : Langston Hughes |
| Publisher | : Macmillan + ORM |
| Total Pages | : 252 |
| Release | : 2011-04-01 |
| Genre | : Fiction |
| ISBN | : 1429924098 |
Jesse B. Simple, Simple to his fans, made weekly appearances beginning in 1943 in Langston Hughes' column in the Chicago Defender. Simple may have shared his readers feelings of loss and dispossession, but he also cheered them on with his wonderful wit and passion for life.
| Author | : Arnold M. Goodman |
| Publisher | : KTAV Publishing House, Inc. |
| Total Pages | : 158 |
| Release | : 2003 |
| Genre | : History |
| ISBN | : 9780881257878 |
| Author | : Jae K. Shim |
| Publisher | : John Wiley & Sons |
| Total Pages | : 450 |
| Release | : 2008-12-03 |
| Genre | : Business & Economics |
| ISBN | : 0470454350 |
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!
| Author | : Richard Kluger |
| Publisher | : Vintage |
| Total Pages | : 882 |
| Release | : 2011-08-24 |
| Genre | : Law |
| ISBN | : 030754608X |
Simple Justice is the definitive history of the landmark case Brown v. Board of Education and the epic struggle for racial equality in this country. Combining intensive research with original interviews with surviving participants, Richard Kluger provides the fullest possible view of the human and legal drama in the years before 1954, the cumulative assaults on the white power structure that defended segregation, and the step-by-step establishment of a team of inspired black lawyers that could successfully challenge the law. Now, on the fiftieth anniversary of the unanimous Supreme Court decision that ended legal segregation, Kluger has updated his work with a new final chapter covering events and issues that have arisen since the book was first published, including developments in civil rights and recent cases involving affirmative action, which rose directly out of Brown v. Board of Education.
| Author | : Ruey S. Tsay |
| Publisher | : John Wiley & Sons |
| Total Pages | : 576 |
| Release | : 2005-09-15 |
| Genre | : Business & Economics |
| ISBN | : 0471746185 |
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.
| Author | : Ruey S. Tsay |
| Publisher | : John Wiley & Sons |
| Total Pages | : 388 |
| Release | : 2014-08-21 |
| Genre | : Business & Economics |
| ISBN | : 1119013461 |
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.
| Author | : Chris Brooks |
| Publisher | : Cambridge University Press |
| Total Pages | : 672 |
| Release | : 2008-05-22 |
| Genre | : Business & Economics |
| ISBN | : 052169468X |
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.
| Author | : Mary Adams, EA |
| Publisher | : Author House |
| Total Pages | : 583 |
| Release | : 2011-10 |
| Genre | : Business & Economics |
| ISBN | : 1467042757 |
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.
| Author | : James Gentle |
| Publisher | : CRC Press |
| Total Pages | : 541 |
| Release | : 2020-03-12 |
| Genre | : Business & Economics |
| ISBN | : 0429939221 |
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.
| Author | : Kay Correll |
| Publisher | : Zura Lu Publishing LLC |
| Total Pages | : 169 |
| Release | : 2020-01-09 |
| Genre | : Fiction |
| ISBN | : 194476139X |
Sometimes not everything is exactly as it seems... When her aunt is injured, Sara hurries back to Belle Island to help out at Charming Inn. She’s sure she can run the inn and work remotely for her job back in Boston. If only she can juggle all of it… But what are the chances she’d run into Noah McNeil after all these years and what is he doing on her island? He disappeared from her life in Boston without a word over twenty years ago. And now he has a dog? He always swore he didn't have time for pets… Sara and her two best friends, Robin and Charlotte, struggle to keep Charming Inn running while Sara struggles to ignore Noah completely. But maybe, just maybe, Noah isn’t quite the man she thought he was. Join these three best friends and the familiar people of Belle Island in this delightful spin-off of the Lighthouse Point series. This is book one in the Charming Inn series: One Simple Wish - Book One Two of a Kind - Book Two Three Simple Things - Book Three Four Short Weeks - Book Four Five Years or So - Book Five keywords: sweet romance, clean and wholesome, small town romance series, women’s fiction, drama, saga, best friends, women friends, southern romance, beach read, friendship, heartwarming, sweet, clean, inspirational, Kay Correll, Comfort Crossing, Lighthouse Point, contemporary romance, happily ever after, HEA, seasoned romance, older romance, Later in life, Similar to, Debbie Macomber, Robyn Carr, Sherryl Woods, Inglath Cooper, Olivia Miles, Debbie White, JoAnn Ross, Debbie Mason, Susan Wiggs, Nancy Thayer, Karen Kingsbury, family life, seasoned romance, older characters, older heroine, Kay Cordell, Kay Cornell, Kay Correl, Amelia C. Adams, Jenny Hale, Sheila Roberts, Pamela Kelley, Christine Nolfi, Joanne DeMaio, Meredith Summers, Jan Moran, Cindy Nichols, Viola Shipman
