quantitative finance a simulation based introduction using excel

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Quantitative Finance

Author : Matt Davison
ISBN : 9781439871683
Genre : Business & Economics
File Size : 29. 15 MB
Format : PDF, Mobi
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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.

Quantitative Methods For Decision Making Using Excel

Author : Glyn Davis
ISBN : 9780199694068
Genre : Business & Economics
File Size : 58. 65 MB
Format : PDF, ePub, Docs
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Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions

Fundamentals Of Forecasting Using Excel

Author : Kenneth D. Lawrence
ISBN : 083113335X
Genre : Computers
File Size : 25. 40 MB
Format : PDF, ePub
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Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series-moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used both as a primary text and as a supplementary text. Highlights the use of Excel screen shots, data tables, and graphs. Features Full Scale Use of Excel in Forecasting without the Use of Specialized Forecast Packages Includes Excel templates. Emphasizes the practical application of forecasting. Provides coverage of Special Forecasting, including New Product Forecasting, Network Models Forecasting, Links to Input/Output Modeling, and Combination of Forecasting.

Financial Modeling With Crystal Ball And Excel Website

Author : John Charnes
ISBN : 9781118175446
Genre : Business & Economics
File Size : 86. 9 MB
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Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process. It also discusses simulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Ball and Excel contains instructions, theory, and practical example models to help apply risk analysis to such areas as derivative pricing, cost estimation, portfolio allocation and optimization, credit risk, and cash flow analysis. It includes the resources needed to develop essential skills in the areas of valuation, pricing, hedging, trading, risk management, project evaluation, credit risk, and portfolio management. Offers an updated edition of the bestselling book covering the newest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation—an essential skill applied by many corporate finance and investment professionals Written by John Charnes, the former finance department chair at the University of Kansas and senior vice president of global portfolio strategies at Bank of America, who is currently President and Chief Data Scientist at Syntelli Solutions, Inc. Risk Analytics and Predictive Intelligence Division (Syntelli RAPID) Engaging and informative, this book is a vital resource designed to help you become more adept at financial modeling and simulation.

Business Risk And Simulation Modelling In Practice

Author : Michael Rees
ISBN : 9781118904053
Genre : Business & Economics
File Size : 61. 59 MB
Format : PDF, ePub, Docs
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The complete guide to the principles and practice of risk quantification Risk analysis can enhance traditional financial modeling in any decision-related situation, and in some cases, is an indispensable part of the decision process. Business Risk and Simulation Modeling in Practice covers the principles and tools in depth, helping readers gain a greater understanding of effective application in real-world scenarios. This book provides a practical, comprehensive, and in-depth guide to the industry's fundamental principles and tools. Based on the author's many years in training and consultancy, this book provides real-life solutions to risk modeling applications, demonstrated with highly developed practical models that directly apply to real situations. Coverage includes the use of Excel and VBA, as well as in-depth guidance to Palisade's @RISK Excel add-in, which allows a richer range of models to be built more quickly, flexibly, and transparently. The underlying theory and statistical concepts of risk analysis are covered from a rigorous, yet practical perspective, with a non-mathematical focus accessible to a wide variety of readers. The companion website provides additional resources, including one hundred worked examples and preformatted spreadsheets. Understand the fundamental concepts and practices of risk analysis and modeling Master the use of Excel, VBA, and @RISK for dependency and correlation modeling Learn which distribution fits which scenario, and how to use it appropriately Examine example models to better understand the more complex concepts The quantification of risk is an increasingly important aspect of all forms of decision-making, and is a natural extension of general financial modeling. To be effective, professionals need a firm grasp of both the fundamental concepts and the tools of the trade. Business Risk and Simulation Modeling in Practice provides clear, complete guidance, enhanced with expert perspective.

Advanced Modelling In Finance Using Excel And Vba

Author : Mary Jackson
ISBN : 9780470061664
Genre : Business & Economics
File Size : 29. 21 MB
Format : PDF, ePub, Docs
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This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Principles Of Financial Modelling

Author : Michael Rees
ISBN : 9781118904008
Genre : Business & Economics
File Size : 72. 84 MB
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The comprehensive, broadly-applicable, real-world guide to financial modelling Principles of Financial Modelling – Model Design and Best Practices Using Excel and VBAcovers the full spectrum of financial modelling tools and techniques in order to provide practical skills that are grounded in real-world applications. Based on rigorously-tested materials created for consulting projects and for training courses, this book demonstrates how to plan, design and build financial models that are flexible, robust, transparent, and highly applicable to a wide range of planning, forecasting and decision-support contexts. This book integrates theory and practice to provide a high-value resource for anyone wanting to gain a practical understanding of this complex and nuanced topic. Highlights of its content include extensive coverage of: Model design and best practices, including the optimisation of data structures and layout, maximising transparency, balancing complexity with flexibility, dealing with circularity, model audit and error-checking Sensitivity and scenario analysis, simulation, and optimisation Data manipulation and analysis The use and choice of Excel functions and functionality, including advanced functions and those from all categories, as well as of VBA and its key areas of application within financial modelling The companion website provides approximately 235 Excel files (screen-clips of most of which are shown in the text), which demonstrate key principles in modelling, as well as providing many examples of the use of Excel functions and VBA macros. These facilitate learning and have a strong emphasis on practical solutions and direct real-world application. For practical instruction, robust technique and clear presentation, Principles of Financial Modelling is the premier guide to real-world financial modelling from the ground up. It provides clear instruction applicable across sectors, settings and countries, and is presented in a well-structured and highly-developed format that is accessible to people with different backgrounds.

Data Analysis And Decision Making With Microsoft Excel Revised

Author : S. Albright
ISBN : 9780324662443
Genre : Business & Economics
File Size : 67. 80 MB
Format : PDF, Docs
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The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration. This edition has been revised to be compatible with Excel 2007 and the corresponding add-ins for Excel 2007. If you have moved to Excel 2007, you should use this revised edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Financial Modelling In Python

Author : Shayne Fletcher
ISBN : 9780470747896
Genre : Business & Economics
File Size : 64. 15 MB
Format : PDF, Kindle
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"Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel.

Handbook Of Financial Risk Management

Author : Ngai Hang Chan
ISBN : 9781118573549
Genre : Business & Economics
File Size : 75. 58 MB
Format : PDF, ePub, Mobi
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An authoritative handbook on risk management techniques andsimulations as applied to financial engineering topics, theories,and statistical methodologies The Handbook of Financial Risk Management: Simulations and CaseStudies illustrates the prac­tical implementation ofsimulation techniques in the banking and financial industriesthrough the use of real-world applications. Striking a balance between theory and practice, the Handbookof Financial Risk Management: Simulations and Case Studiesdemonstrates how simulation algorithms can be used to solvepractical problems and showcases how accuracy and efficiency inimplementing various simulation methods are indispensable tools inrisk management. The book provides the reader with an intuitiveunderstanding of financial risk management and deepens insight intothose financial products that cannot be priced traditionally. TheHandbook of Financial Risk Management also features: Examples in each chapter derived from consulting projects,current research, and course instruction Topics such as volatility, fixed-income derivatives, LIBORMarket Models, and risk measures Over twenty-four recognized simulation models Commentary, data sets, and computer subroutines available on achapter-by-chapter basis As a complete reference for practitioners, the book is useful inthe fields of finance, business, applied statistics, econometrics,and engineering. The Handbook of Financial Risk Managementis also an excellent text or supplement for graduate and MBA-levelstudents in courses on financial risk management andsimulation.

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