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Excel Simulations
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Book Synopsis Excel Simulations by : Gerard M. Verschuuren
Download or read book Excel Simulations written by Gerard M. Verschuuren and published by Tickling Keys, Inc.. This book was released on 2013-11-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.
Book Synopsis 100 Excel Simulations by : Gerard M. Verschuuren
Download or read book 100 Excel Simulations written by Gerard M. Verschuuren and published by Tickling Keys, Inc.. This book was released on 2016-11-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.
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 Simulation and Statistics with Excel by : Luis Fernando Ibarra
Download or read book Simulation and Statistics with Excel written by Luis Fernando Ibarra and published by CRC Press. This book was released on 2024-05-15 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of simulation techniques has increased in importance in recent history, and simulation activities are an important resource for advanced preparation for the organization and execution of events. When formal mathematics is not enough, simulation may be the only option capable of approximating solutions. Simulation and Statistics with Excel: An Introduction to Business Students offers a non-rigorous and practical tour of the simulation procedure on computers, using a versatile and accessible resource, the Microsoft Excel spreadsheet. This book covers the concepts essential to understanding the basic principles and approaches of statistical simulation, allowing for the study of complex systems. Aimed at students in business and operational research beginning to use simulation as an instrument for understanding existing or proposed processes, this book will lay solid foundations in understanding simulation experimentation. Key Features: Provides a basis to understand the approaches and principles of simulator experiments. Uses a universal and easily accessible resource. Introduces simple examples to teach the fundamentals of simulation.
Book Synopsis Excel Simulations by : Gerard Verschuuren
Download or read book Excel Simulations written by Gerard Verschuuren and published by Tickling Keys, Inc.. This book was released on 2013-11-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.
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 Practical Monte Carlo Simulation with Excel - Part 1 of 2 by : Akram Najjar
Download or read book Practical Monte Carlo Simulation with Excel - Part 1 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 100 Excel VBA Simulations by : Gerard M. Verschuuren
Download or read book 100 Excel VBA Simulations written by Gerard M. Verschuuren and published by Createspace Independent Publishing Platform. This book was released on 2016-11-18 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a variety of Excel simulations by using Visual Basic (VBA), from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook. The simulations covered offer a fun alternative to the usual Excel topics and include situations such as roulette, password cracking, sex determination, population growth, and traffic patterns, among many others.
Book Synopsis Financial Simulation Modeling in Excel by : Keith A. Allman
Download or read book Financial Simulation Modeling in Excel written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2011-09-02 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.
Book Synopsis Mathematical Modeling with Excel by : Brian Albright
Download or read book Mathematical Modeling with Excel written by Brian Albright and published by CRC Press. This book was released on 2019-11-25 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical section begins with a general description of the scenario being modeled. The model is then built using the appropriate mathematical tools. Then it is implemented and analyzed in Excel via step-by-step instructions. In the exercises, we ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.
Book Synopsis Excel Data Analysis by : Hector Guerrero
Download or read book Excel Data Analysis written by Hector Guerrero and published by Springer. This book was released on 2018-12-14 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.
Book Synopsis 130 Excel Simulations in Action by : Gerard Verschuuren
Download or read book 130 Excel Simulations in Action written by Gerard Verschuuren and published by Createspace Independent Publishing Platform. This book was released on 2017-10-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of Excel simulations, from gambling to genetics. The 130 simulations covered offer an exciting and fun alternative the usual Excel topics and include situations such as roulette, sex determination, population growth, and traffic patterns, among 125 others.
Book Synopsis Financial Modeling with Crystal Ball and Excel by : John Charnes
Download or read book Financial Modeling with Crystal Ball and Excel written by John Charnes and published by John Wiley & Sons. This book was released on 2011-08-04 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel
Download or read book SimQuick written by David Hartvigsen and published by Createspace Independent Publishing Platform. This book was released on 2016-01-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This booklet accompanies a software package called SimQuick. SimQuick is a freely-distributed Excel spreadsheet (with macros) for building simulation models of processes: waiting lines, supply chains, manufacturing facilities, and project scheduling. SimQuick is easy to learn, easy to use, and flexible in its modeling capability. Recently updated (2016), it has been used in industry and in educational settings since 2001. If you can open an Excel spreadsheet on your computer (PC or Mac), then you can immediately use SimQuick. This 3rd edition booklet presents the basics of process simulation by having the reader construct, run, and analyze simulations of realistic processes using SimQuick. It contains a wide variety of examples and exercises based on processes such as: a bank, a 1-800 call center, a fast food restaurant, a hospital emergency room, an airport security system, an inventory management system, and a software development project. The booklet supports either a quick introduction to process simulation (in as little as an hour or two of class time or independent reading), or a more in-depth treatment. To read more about this booklet and SimQuick, and to download a free copy of the SimQuick software, go toSimQuick.net. To read about the author, go to David-Hartvigsen.net
Book Synopsis Practical Monte Carlo Simulation with Excel - Part 2 of 2 by : Akram Najjar
Download or read book Practical Monte Carlo Simulation with Excel - Part 2 of 2 written by Akram Najjar and published by Gatekeeper Press. This book was released on 2018-04-18 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a fair number of stand alone applications as well as add on’s to Microsoft Excel in the market to be used to run Monte Carlo Simulation (MCS) models. However, out of the box, Excel has all the functions you need to develop such models. What is needed are robust modeling procedures, techniques and analytic formulations. Initially, I started with one book. This grew out of proportion as more and more applications and models were identified. Some of these had not been modeled with MCS before. I had to break the book into two parts. Part 1 presents the basics of modeling always providing methods and typical models as applications of simulation. Part 1 also spends time on clarifying different ways of analyzing the simulation output using a variety of statistical functions and procedures all found within Excel. The eBook clarifies a variety of Excel facilities needed in different parts of simulation: sensitivity analysis, linear regression and the Analysis Toolpack. Finally, Part 1 presents a few standard modeling techniques that can be used in a variety of models, specifically in Part 2. Part 2 concentrates on applications such as project management, acceptance sampling, sales and budget forecasting, queuing models, reliability engineering and more. Since these operations behave according to specific statistical distributions, time is spent on clarifying a variety of these functions. When one or two are not available in Excel, alternative methods of computation are presented. A special chapter addresses Markov Processes and shows how simulation can be coupled to such an analysis. The uses and applications of statistical distributions in these operations are addressed in depth. Having covered Uniform, Normal and Discrete Distributions in Part 1, Part 2 proceeds to present and give applications for the following distributions: binomial, negative binomial, geometric, hypergeometric, triangular (not commonly used but is the basis as to why betaPERT is preferred), Poisson, exponential, Gamma and Weibull. No programming is required although in one single case, an embedded VBA module is included. It is used to formulate a method that allows the analyst to develop a two level simulation. To get the results of each of the primary runs in the model, the model runs a further “sub-simulation”. No VBA competence is required. The two eBooks come with 21 and 54 step by step models, respectively, and with supporting images. Whenever statistical functions are used, they are fully clarified using a common sense and non-theoretical approach. All the workouts are solved and are available for download from this page.
Book Synopsis Digital Circuit Simulation Using Excel by : Anthony Mazzurco
Download or read book Digital Circuit Simulation Using Excel written by Anthony Mazzurco and published by Gatekeeper Press. This book was released on 2020-09-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops techniques for simulating digital logic circuits in Microsoft’s Excel that provide a useful tool to both the student and the practicing engineer. It introduces the subject by showing how logic devices, taken from the standard 7400 family, can be modeled and stored in a library. These functions can then be combined by the user as building blocks to design more complex circuits, both combinatorial and sequential. The simulations not only allow the designs to be verified to ensure they provide expected outputs and states, but can also perform detailed timing analysis. Worst case timing conditions can be imposed to stress the circuits so that the resultant behavior can be observed. Methods showing how the user can add additional devices to the simulation library are also covered.
Book Synopsis Teaching Macroeconomics with Microsoft Excel® by : Humberto Barreto
Download or read book Teaching Macroeconomics with Microsoft Excel® written by Humberto Barreto and published by Cambridge University Press. This book was released on 2016-05-23 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humberto Barreto gives professors a simple way to teach fundamental concepts for any undergraduate macroeconomics course using Microsoft Excel® with Excel workbooks and add-ins and videos freely available on his university website. The Excel files are designed to be used by students with any textbook, and have been used many times by the author in his own teaching. Each Excel workbook contains links to short screencasts, around five to ten minutes, that show the cursor and typing as the file is manipulated with narration that walks the student through the steps needed to complete a task. The book shows professors a simple way to present macroeconomic models and incorporate data into their courses.
