Introductory Financial Economics with Spreadsheets

Introductory Financial Economics with Spreadsheets PDF Author: Cornelis van de Panne
Publisher: Routledge
ISBN: 1000100200
Category : Business & Economics
Languages : en
Pages : 216

Book Description
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.

Introductory Financial Economics with Spreadsheets

Introductory Financial Economics with Spreadsheets PDF Author: Cornelis van de Panne
Publisher: Routledge
ISBN: 1000150887
Category : Business & Economics
Languages : en
Pages : 238

Book Description
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.

Financial Modeling

Financial Modeling PDF Author: Joachim Häcker
Publisher: Springer
ISBN: 1137426586
Category : Business & Economics
Languages : en
Pages : 1012

Book Description
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.

Quantitative Finance

Quantitative Finance PDF Author: Matt Davison
Publisher: CRC Press
ISBN: 1439871698
Category : Business & Economics
Languages : en
Pages : 523

Book Description
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.

Principles of Finance with Excel

Principles of Finance with Excel PDF Author: Simon Benninga
Publisher: Oxford University Press, USA
ISBN: 9780199755479
Category : Business & Economics
Languages : en
Pages : 801

Book Description
Finance is a topic that requires much computation, and in todayâe(tm)s business world that computation is almost entirely done using Microsoft Excel. Despite this, existing finance textbooks continue to rely heavily on hand calculators, and business school students find that when they leave the academic environment they have to relearn finance using Excel. Addressing this issue, Principles of Finance with Excel is the only introductory finance text that comprehensively integrates Excel into the teaching and practice of finance. The second edition covers the same topics as standard financial textbooks, including portfolios, capital asset pricing models, stock and bond valuation, capital structure, and dividend and optional policy, and can therefore be used in any introductory course. However, this text also introduces Excel as it applies to finance students, demonstrating and explaining the implementation of finance concepts with Excel, and providing thorough coverage of all Excel topics including graphs, function data tables, dates in Excel, Goal Seek, and Solver. Combining classroom-tested pedagogy with the powerful functions of Excel, Simon Benninga, one of the most recognised names in financial modelling, shows students how spreadsheets can provide new and deeper insights into financial decision making.

Introductory Econometrics

Introductory Econometrics PDF Author: Humberto Barreto
Publisher: Cambridge University Press
ISBN: 9780521843195
Category : Business & Economics
Languages : en
Pages : 810

Book Description
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.

Applied Financial Economics -- Programming

Applied Financial Economics -- Programming PDF Author: Chiu Yu Ko
Publisher: Chiu Yu Ko
ISBN:
Category :
Languages : en
Pages : 267

Book Description
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.

Financial Modeling, fifth edition

Financial Modeling, fifth edition PDF Author: Simon Benninga
Publisher: MIT Press
ISBN: 0262368242
Category : Business & Economics
Languages : en
Pages : 1049

Book Description
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.

Financial Modeling

Financial Modeling PDF Author: Simon Benninga
Publisher: MIT Press
ISBN: 9780262024822
Category : Business & Economics
Languages : en
Pages : 648

Book Description
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 problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.

Financial Products

Financial Products PDF Author: Bill Dalton
Publisher:
ISBN: 9780511437649
Category : Finance
Languages : en
Pages : 399

Book Description
A step-by-step guide to some of the most important ideas in financial mathematics, including options, future contracts, bonds and derivatives.