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Introductory Financial Economics With Spreadsheets
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Book Synopsis Introductory Financial Economics with Spreadsheets by : Cornelis van de Panne
Download or read book Introductory Financial Economics with Spreadsheets written by Cornelis van de Panne and published by Routledge. This book was released on 2020-08-13 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Book Synopsis Introductory Financial Economics with Spreadsheets by : Cornelis van de Panne
Download or read book Introductory Financial Economics with Spreadsheets written by Cornelis van de Panne and published by Routledge. This book was released on 2020-08-13 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Book Synopsis Financial Modeling by : Joachim Häcker
Download or read book Financial Modeling written by Joachim Häcker and published by Springer. This book was released on 2017-12-11 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model review. It offers guidance on essential modeling concepts around the four core financial activities in the modern financial industry today: financial management; corporate finance; portfolio management and financial derivatives. Written in a highly practical, market focused manner, it gives step-by-step guidance on modeling practical problems in a structured manner. Quick and interactive learning is assured due to the structure as a training course which includes applied examples that are easy to follow. All applied examples contained in the book can be reproduced step by step with the help of the Excel files. The content of this book serves as the foundation for the training course Certified Financial Modeler. In an industry that is becoming increasingly complex, financial modeling is a key skill for practitioners across all key sectors of finance and banking, where complicated problems often need to be solved quickly and clearly. This book will equip readers with the basic modeling skills required across the industry today.
Book Synopsis Quantitative Finance by : Matt Davison
Download or read book Quantitative Finance written by Matt Davison and published by CRC Press. This book was released on 2014-05-08 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.
Book Synopsis Applied Financial Economics -- Programming by : Chiu Yu Ko
Download or read book Applied Financial Economics -- Programming written by Chiu Yu Ko and published by Chiu Yu Ko. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about programming for trading in financial market. We cover Excel (Part 1), Excel VBA (Part 2) and R (Part3) are covered. We first cover Excel that requires minimum programming technique, it is desirable to start learning it first. Then Excel VBA is covered to provide a smooth transition to more complicated R programming. In particular, students first learn how to use Excel to generate a simple trading system and this builds the foundation for the more complicated trading system in R. Excel VBA is commonly used for computationally less demanding calculations in both academic and business world. Students are prepared to how to use them to do various financial analysis including fundamental analysis, technical analysis and time series analysis. In particular, students will learn how to write an analyst report, and create computer-aided technical trading system. R is widely used in computationally heavy financial and statistical computation. Students are prepared how to do data manipulation, conduct econometric analysis (regression, time series), plotting package, webscrapping, and financial analysis. In particular, students will learn how to backtest complex trading strategy and evaluate the performance.
Book Synopsis Principles of Finance with Excel by : Simon Benninga
Download or read book Principles of Finance with Excel written by Simon Benninga and published by Oxford University Press, USA. This book was released on 2017-08-03 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering exceptional resources for students and instructors, Principles of Finance with Excel, Third Edition, combines classroom-tested pedagogy with the powerful functions of Excel software. Authors Simon Benninga and Tal Mofkadi show students how spreadsheets provide new and deeper insightsinto financial decision making.The third edition of Principles of Finance with Excel covers the same topics as standard financial textbooks - including portfolios, capital asset pricing models, stock and bond valuation, capital structure and dividend policy, and option pricing - and can therefore be used in any introductorycourse. In addition, it introduces Excel software as it applies to finance students and practitioners. Throughout the book, the implementation of finance concepts with Excel software is demonstrated and explained. A separate section of PFE provides thorough coverage of all Excel software topics usedin the book: graphs, function data tables, dates, Goal Seek, and Solver.Visit www.oup.com/us/benninga for student and instructor resources, including all the spreadsheets used as examples in the text and in the end-of-chapter problems.
Book Synopsis Introductory Econometrics by : Humberto Barreto
Download or read book Introductory Econometrics written by Humberto Barreto and published by Cambridge University Press. This book was released on 2006 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use 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 accompanying web site with text support can be found at www.wabash.edu/econometrics.
Book Synopsis Benefit-Cost Analysis by : Harry F. Campbell
Download or read book Benefit-Cost Analysis written by Harry F. Campbell and published by Cambridge University Press. This book was released on 2003-05-27 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the text of this introduction to benefit cost analysis, emphasis is on applications, and a worked case study is progressively undertaken as an illustration of the analytical principles in operation. The first part covers basic theory and procedures. Part Two advances to material on internationally tradeable goods and projects that affect market prices, and part Three introduces special topics such as the treatment of risk and uncertainty, income distributional effects and the valuation of non-marketed goods. Instructors' resource web site: http://www.uq.edu.au/economics/bca
Download or read book Financial Products written by Bill Dalton and published by . This book was released on 2008 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to some of the most important ideas in financial mathematics, including options, future contracts, bonds and derivatives.
Book Synopsis Financial Modeling by : Simon Benninga
Download or read book Financial Modeling written by Simon Benninga and published by Mit Press. This book was released on 1997-01-01 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel. In this sense, this is a finance "cookbook", providing recipes with lists of ingredients and instructions. Areas covered include the computation of corporate finance problems, standard portfolio problems, option pricing and applications, and duration and immunization. The author includes a set of chapters dealing with advanced techniqueS, including random number generation, matrix manipulation, and the Gauss-Seidel method. Although the reader should know enough about Excel to set up a simple spreadsheet, the author explains advanced Excel techniques such as functions, macros, the use of data tables, and VBA programming. The book comes with a disk containing Excel worksheets and solutions to end-of-chapter exercises.
Book Synopsis Mathematical Financial Economics by : Igor V. Evstigneev
Download or read book Mathematical Financial Economics written by Igor V. Evstigneev and published by Springer. This book was released on 2015-05-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is an elementary introduction to the key topics in mathematical finance and financial economics - two realms of ideas that substantially overlap but are often treated separately from each other. Our goal is to present the highlights in the field, with the emphasis on the financial and economic content of the models, concepts and results. The book provides a novel, unified treatment of the subject by deriving each topic from common fundamental principles and showing the interrelations between the key themes. Although the presentation is fully rigorous, with some rare and clearly marked exceptions, the book restricts itself to the use of only elementary mathematical concepts and techniques. No advanced mathematics (such as stochastic calculus) is used.
Book Synopsis Quantitative Finance by : Matt Davison
Download or read book Quantitative Finance written by Matt Davison and published by CRC Press. This book was released on 2014-05-08 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.
Book Synopsis Cost-Benefit Analysis by : Harry F. Campbell
Download or read book Cost-Benefit Analysis written by Harry F. Campbell and published by Taylor & Francis. This book was released on 2022-12-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, Cost-Benefit Analysis has been updated, offering readers the perfect introduction to project, programme and policy appraisal using basic tools of financial and economic analysis. The key economic questions of any social cost-benefit analysis are: do the benefits of the project or policy exceed the costs, no matter how widely costs and benefits are spread, and irrespective of whether or not project impacts, such as environmental effects, are reflected in market prices? And which group or groups of individuals receive the benefits and which bear the costs? This book addresses these questions with an emphasis on putting the theory presented in the book into practice. This third edition has several attractive features: Readers are encouraged to develop their own skills by applying the tools and techniques of cost-benefit analysis to case studies and examples, including an analysis of a project which is developed throughout the book. The book emphasizes the use of spreadsheets which are invaluable in providing a framework for the cost-benefit analysis. A dedicated chapter provides guidance for writing up a report which summarises the analysis which has been undertaken. New pedagogical features, including Technical Notes and Examples, have been added as an aid to readers throughout the text. An appendix provides 14 additional case studies which can be developed in class or as assignment projects. Additional material for instructors and students is provided through Support Material maintained by Routledge. This updated edition is an ideal text for a course on cost-benefit analysis where the emphasis is on practical application of principles and equipping students to conduct appraisals. It is also a useful handbook for professionals looking for a logical framework in which to undertake their cost-benefit analysis work.
Book Synopsis Excel Modeling and Estimation in Corporate Finance by : Craig W. Holden
Download or read book Excel Modeling and Estimation in Corporate Finance written by Craig W. Holden and published by Prentice Hall. This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For undergraduate and graduate courses in corporate finance or financial management. This book focuses on active learning by teaching students how to build and estimate financial models using Excel so they understand the steps involved, rather than being handed completed spreadsheets.
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.
Book Synopsis Financial Modeling, fifth edition by : Simon Benninga
Download or read book Financial Modeling, fifth edition written by Simon Benninga and published by National Geographic Books. This book was released on 2022-02-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.
Book Synopsis Quantitative Finance by : Matt Davison
Download or read book Quantitative Finance written by Matt Davison and published by . This book was released on 2016 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book's CRC Press web page.
