Author: Gerard Verschuuren Publisher: Tickling Keys, Inc. ISBN: 1615470220 Category : Computers Languages : en Pages : 177
Book Description
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.
Author: Gerard M. Verschuuren Publisher: Tickling Keys, Inc. ISBN: 1615473351 Category : Computers Languages : en Pages : 177
Book Description
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.
Author: Gerard M. Verschuuren Publisher: Tickling Keys, Inc. ISBN: 1615473572 Category : Computers Languages : en Pages : 264
Book Description
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.
Author: Luis Fernando Ibarra Publisher: CRC Press ISBN: 1040019692 Category : Mathematics Languages : en Pages : 291
Book Description
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.
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.
Author: Anthony Mazzurco Publisher: Gatekeeper Press ISBN: 1662902506 Category : Technology & Engineering Languages : en Pages : 226
Book Description
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.
Author: Keith A. Allman Publisher: John Wiley & Sons ISBN: 1118137221 Category : Business & Economics Languages : en Pages : 220
Book Description
"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.
Author: Gerard M. Verschuuren Publisher: Createspace Independent Publishing Platform ISBN: 9781540445179 Category : Languages : en Pages : 230
Book Description
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.
Author: David Hartvigsen Publisher: Createspace Independent Publishing Platform ISBN: 9781518857966 Category : Computer simulation Languages : en Pages : 0
Book Description
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
Author: Akram Najjar Publisher: Gatekeeper Press ISBN: 1642371572 Category : Business & Economics Languages : en Pages : 768
Book Description
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.
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Author: Gerard Verschuuren
Author: Gerard M. Verschuuren
Author: Gerard M. Verschuuren
Author: Luis Fernando Ibarra
Author: Matt Davison
Author: Anthony Mazzurco
Author: Keith A. Allman
Author: Gerard M. Verschuuren
Author: David Hartvigsen
Author: Akram Najjar