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Introduction to Valuation Multiples
by Lucy White Robin GreenwoodOutlines the definition and applicability of financial multiples and their relationship to discounted cash flow analysis.
An Introduction to Value-at-Risk
by Carol Alexander Moorad ChoudhryThe value-at-risk measurement methodology is a widely-used tool in financial market risk management. The fifth edition of Professor Moorad Choudhry's benchmark reference text An Introduction to Value-at-Risk offers an accessible and reader-friendly look at the concept of VaR and its different estimation methods, and is aimed specifically at newcomers to the market or those unfamiliar with modern risk management practices. The author capitalises on his experience in the financial markets to present this concise yet in-depth coverage of VaR, set in the context of risk management as a whole.Topics covered include:Defining value-at-riskVariance-covariance methodologyPortfolio VaRCredit risk and credit VaRStressed VaRCritique and VaR during crisisTopics are illustrated with Bloomberg screens, worked examples and exercises. Related issues such as statistics, volatility and correlation are also introduced as necessary background for students and practitioners. This is essential reading for all those who require an introduction to financial market risk management and risk measurement techniques.Foreword by Carol Alexander, Professor of Finance, University of Sussex.
Introductory Accounting (Idiot's Guides)
by David H. Ringstrom Gail Perry Lisa A. BuckiAccurate accounting is the key to a successful business. But when you&’re dealing with assets and liabilities, profit and loss, and debits and credits, juggling all the numbers can quickly get confusing. Introductory Accounting gives you everything you need to know about basic financial accounting to manage your dollars and cents and keep your accounts in order. Ideal for small businesses, as well as any large company bookkeeper, this book covers:• Structuring your business and choosing an accounting method.• Setting up an accounting system and basic operating procedures (tracking sales, determining costs, managing cash, etc.).• Creating employee records, maintaining a payroll system, and accounting for benefits.• Keeping tax and benefit records.• Reporting costs.• Closing out cash journals and employee accounts at month-end and balancing ledgers.• Preparing month-end and year-end statements and reports. • Producing a balance sheet and monthly profit-and-loss (P&L) statements.• Using accounting software.
Introductory Accounting: A Measurement Approach for Managers
by Daniel P. TinkelmanIntroductory Accounting adopts a measurement approach to teaching graduate students the basics of accounting. Integrating both financial and managerial principles from the U.S. and around the globe, it links accounting to other areas of business (such as finance, operations, and management). Providing students with the context to understand how and why accounting is a valuable part of business, readers will gain an understanding of accounting’s role in financial analysis and managerial decision-making. Tinkelman discusses accounting as an imperfect measurement system, offering guidance on how quantitative data can benefit analysts and managers when used with an understanding of its limitations. The book is strongly grounded in research, and also draws on plenty of examples and cases to bring these issues to life. The conversational style of Introductory Accounting will appeal to MBA students, while key terms and illustrative problems make assignments easy for instructors. Additional materials for students and instructors are available on the book’s companion website.
Introductory Econometrics
by Humberto Barreto Frank M. HowlandThis highly accessible and innovative text and accompanying CD-ROM use Excel (R) workbooks powered by Visual Basic macros to teach the core concepts of econometrics without advanced mathematics. It enables students to run Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The Excel add-ins allow students to draw histograms, to compute P-values and robust standard errors, and to construct their own MonteCarlo and bootstrap simulations. For more readers may visit the web site at www. wabash. edu/econometrics.
Introductory Econometrics
by Phoebus DhrymesThis book has taken form over several years as a result of a number of courses taught at the University of Pennsylvania and at Columbia University and a series of lectures I have given at the International Monetary Fund. Indeed, I began writing down my notes systematically during the academic year 1972-1973 while at the University of California, Los Angeles. The diverse character of the audience, as well as my own conception of what an introductory and often terminal acquaintance with formal econometrics ought to encompass, have determined the style and content of this volume. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. As an example, a relatively elementary one-semester course can be based on Chapters one through five, omitting the appendices to these chapters and a few sections in some of the chapters so indicated. This would acquaint the student with the basic theory of the general linear model, some of the prob#65533; lems often encountered in empirical research, and some proposed solutions. For such a course, I should also recommend a brief excursion into Chapter seven (logit and pro bit analysis) in view of the increasing availability of data sets for which this type of analysis is more suitable than that based on the general linear model.
Introductory Econometrics: A Practical Approach
by Hamid SeddighiThis book constitutes the first serious attempt to explain the basics of econometrics and its applications in the clearest and simplest manner possible. Recognising the fact that a good level of mathematics is no longer a necessary prerequisite for economics/financial economics undergraduate and postgraduate programmes, it introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complex nature.
Introductory Econometrics: A Modern Approach (Third Edition)
by Jeffrey M. WooldridgeThe modern approach of this text recognizes that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.
Introductory Econometrics: A Modern Approach (Mindtap Course List Series)
by Jeffrey M. WooldridgeGain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called 'causal effects' or 'treatment effects,' to provide a complete understanding of the impact and importance of econometrics today.
Introductory Econometrics: Intuition, Proof, and Practice
by Jeffrey ZaxIntroductory Econometrics: Intuition, Proof, and Practice attempts to distill econometrics into a form that preserves its essence, but that is acceptable—and even appealing—to the student's intellectual palate. This book insists on rigor when it is essential, but it emphasizes intuition and seizes upon entertainment wherever possible. Introductory Econometrics is motivated by three beliefs. First, students are, perhaps despite themselves, interested in questions that only econometrics can answer. Second, through these answers, they can come to understand, appreciate, and even enjoy the enterprise of econometrics. Third, this text, which presents select innovations in presentation and practice, can provoke readers' interest and encourage the responsible and insightful application of econometric techniques. In particular, author Jeffrey S. Zax gives readers many opportunities to practice proofs—which are challenging, but which he has found to improve student comprehension. Learning from proofs gives readers an organic understanding of the message behind the numbers, a message that will benefit them as they come across statistics in their daily lives. An ideal core text for foundational econometrics courses, this book is appropriate for any student with a solid understanding of basic algebra—and a willingness to use that tool to investigate complicated issues.
Introductory Econometrics for Finance
by Chris BrooksA complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python software guides.
Introductory Econometrics for Finance
by Chris BrooksThis best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: · Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models · Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models · Detailed examples and case studies from finance show students how techniques are applied in real research · Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results · Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice · Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods · Thoroughly class-tested in leading finance schools
Introductory Econometrics for Undergraduates: A Student's Guide to the Basics
by Kacapyr EliaThoroughly classroom tested, this introductory text covers all the statistical topics that constitute a foundation for basic econometrics, with concise explanations of technical material.
Introductory Financial Economics with Spreadsheets
by Cornelis van de PanneThis text combines the teaching and explanation of spreadsheets with the essentials of finance and economics in a highly-visual, interactive and project-based approach. Students progressively build skills in Microsoft Excel, by proceeding through a variety of basic applications. Users of other spreadsheets will also benefit from the book. This innovative publication includes an accompanying disk that provides the spreadsheet files on which the text is based and the data for the exercises and assignments following each chapter.
Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences (Ninth Edition)
by Ernest F. Haeussler Richard S. PaulThis ninth edition of Introductory Mathematical Analysis continues to provide a mathematical foundation for students in business, economics, and the life and social sciences. It begins with noncalculus topics such as equations, functions, matrix algebra, linear programming, mathematics of finance, and probability. Then it progresses through both single-variable and multivariable calculus, including continuous random variables.
Introductory Mathematical Economics
by Adil H. MouhammedThis book provides both students and individuals with a simple and rigorous introduction to various mathematical techniques used in economic theory. It discusses the applications to macroeconomics and market models, and describes derivatives and their applications to economic theory.
Introductory Mathematics and Statistics for Islamic Finance
by Abbas Mirakhor Noureddine KricheneA unique primer on quantitative methods as applied to Islamic financeIntroductory Mathematics and Statistics for Islamic Finance + Website is a comprehensive guide to quantitative methods, specifically as applied within the realm of Islamic finance. With applications based on research, the book provides readers with the working knowledge of math and statistics required to understand Islamic finance theory and practice. The numerous worked examples give students with various backgrounds a uniform set of common tools for studying Islamic finance.The in-depth study of finance requires a strong foundation in quantitative methods. Without a good grasp of math, probability, and statistics, published theoretical and applied works in Islamic finance remain out of reach. Unlike a typical math text, this book guides students through only the methods that directly apply to Islamic finance, without wasting time on irrelevant techniques. Each chapter contains a detailed explanation of the topic at hand, followed by an example based on real situations encountered in Islamic finance. Topics include:Algebra and matricesCalculus and differential equationsProbability theoryStatisticsWritten by leading experts on the subject, the book serves as a useful primer on the analysis methods and techniques students will encounter in published research, as well as day-to-day operations in finance. Anyone aspiring to be successful in Islamic finance needs these skills, and Introductory Mathematics and Statistics for Islamic Finance + Website is a clear, concise, and highly relevant guide.
Introductory Regression Analysis: with Computer Application for Business and Economics
by Allen WebsterRegression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
Introductory Relational Database Design for Business, with Microsoft Access
by Jonathan Eckstein Bonnie R. SchultzA hands-on beginner’s guide to designing relational databases and managing data using Microsoft Access Relational databases represent one of the most enduring and pervasive forms of information technology. Yet most texts covering relational database design assume an extensive, sophisticated computer science background. There are texts on relational database software tools like Microsoft Access that assume less background, but they focus primarily on details of the user interface, with inadequate coverage of the underlying design issues of how to structure databases. Growing out of Professor Jonathan Eckstein’s twenty years’ experience teaching courses on management information systems (MIS) at Rutgers Business School, this book fills this gap in the literature by providing a rigorous introduction to relational databases for readers without prior computer science or programming experience. Relational Database Design for Business, with Microsoft Access helps readers to quickly develop a thorough, practical understanding of relational database design. It takes a step-by-step, real-world approach, using application examples from business and finance every step the way. As a result, readers learn to think concretely about database design and how to address issues that commonly arise when developing and manipulating relational databases. By the time they finish the final chapter, students will have the knowledge and skills needed to build relational databases with dozens of tables. They will also be able to build complete Microsoft Access applications around such databases. This text: Takes a hands-on approach using numerous real-world examples drawn from the worlds of business, finance, and more Gets readers up and running, fast, with the skills they need to use and develop relational databases with Microsoft Access Moves swiftly from conceptual fundamentals to advanced design techniques Leads readers step-by-step through data management and design, relational database theory, multiple tables and the possible relationships between them, Microsoft Access features such as forms and navigation, formulating queries in SQL, and normalization Introductory Relational Database Design for Business, with Microsoft Access is the definitive guide for undergraduate and graduate students in business, finance, and data analysis without prior experience in database design. While Microsoft Access is its primary “hands-on” learning vehicle, most of the skills in this text are transferrable to other relational database software such as MySQL.
Introductory Statistics and Analytics: A Resampling Perspective
by Peter C. BruceConcise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrapA uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes:Over 300 "Try It Yourself" exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical conceptsNumerous interactive links designed to provide solutions to exercises and further information on crucial conceptsLinkages that connect statistics to the rapidly growing field of data scienceMultiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze dataAreas of concern and/or contrasting points-of-view indicated through the use of "Caution" iconsIntroductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Introductory Statistics for Business and Economics
by Jan UbøeThis textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context. Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part.
Introductory Statistics for Business and Economics (Fourth Edition)
by Thomas H. Wonnacott Ronald J. WonnacottThis Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Introduzione al Business English
by Federico Casablanca Sergio Casado RodríguezEbook orientato a tutte quelle persone interessate a perfezionare il proprio inglese e introdursi i una delle sue varianti imprescindibili, l'inglese aziendale o Business English.
The Introvert Entrepreneur
by Beth BuelowA practical guide to help introverts harness their natural gifts and entrepreneurial spirit Think you have to be loud and brash to be successful in business? Think again. The strengths and traits of the typical introvert lend themselves well to entrepreneurship, as well as "intrapreneurship" and a range of business roles. In The Introvert Entrepreneur, professional coach Beth Buelow shows readers how to harness their natural gifts (including curiosity, independence, and a love of research) and counteract their challenges (such as an aversion to networking and self-promotion). She addresses a wide range of topics --from managing fears and expectations and developing a growth mindset to networking, marketing, leadership skills, and community-building--informed by interviews with introverts who have created successful businesses without compromising their core personality. Filled with fresh insights and actionable advice, this essential guide will support anyone who's striving to make a difference in a loud and chaotic world.From the Trade Paperback edition.
The Introverted Leader: Building On Your Quiet Strength (Bk Business Ser.)
by Jennifer KahnweilerNEW EDITION, REVISED AND EXPANDEDThe Introverted LeaderBuilding on Your Quiet Strength, Second EditionFinally, a book that recognizes the immense value that introverts bring to the workplace.”—Daniel Pink, author of Drive and WhenA prevailing myth is that a big, vibrant personality is needed to succeed in the workplace, but often the quietest people have the loudest minds. Unfortunately, in our extroverted business culture, introverts can feel excluded, overlooked, or misunderstood. Jennifer Kahnweiler shows that introversion is a source of strength. Just look at Arianna Huffington and Mark Zuckerberg, two introverts who have learned to be themselves and thrive in type A work environments.This revised and expanded second edition draws on new research, interviews, and insights from thousands of introverted leaders, including fresh information on the unique challenges faced by introverted women; how leaders can shape a more inclusive, introvert-friendly workplace; the brains of introverts; and the correlation between introverted leadership and company performance.Kahnweiler lays out a well-tested progressive four-step strategy called “The 4 Ps Process” for succeeding in the workplace by building on your natural quiet strengths. First, preparation: carefully devise a game plan for any potentially anxiety-provoking situation. Then, presence: knowing you're prepared, be completely focused on the present moment. Then you can push—go beyond your comfort zone. And finally, practice, practice, practice.A newly revised quiz helps pinpoint where to amplify your quiet strengths and when to consider flexing your style. Kahnweiler shows exactly how to apply the 4 Ps in areas that can be particularly challenging for introverts—including networking, making presentations, and handling meetings. Aspiring leaders will be able to contribute more fully to their organization while staying true to themselves and serve as models and mentors to others as they move forward in their careers.