Financial Modelling In Practice

Author: Michael Rees
Editor: John Wiley & Sons
ISBN: 9781119995203
File Size: 32,95 MB
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Financial Modelling in Practice: A Concise Guide for Intermediate and Advanced Level is a practical, comprehensive and in-depth guide to financial modelling designed to cover the modelling issues that are relevant to facilitate the construction of robust and readily understandable models. Based on the authors extensive experience of building models in business and finance, and of training others how to do so this book starts with a review of Excel functions that are generally most relevant for building intermediate and advanced level models (such as Lookup functions, database and statistical functions and so on). It then discusses the principles involved in designing, structuring and building relevant, accurate and readily understandable models (including the use of sensitivity analysis techniques) before covering key application areas, such as the modelling of financial statements, of cash flow valuation, risk analysis, options and real options. Finally, the topic of financial modelling using VBA is treated. Practical examples are used throughout and model examples are included in the attached CD-ROM. Aimed at intermediate and advanced level modellers in Excel who wish to extend and consolidate their knowledge, this book is focused, practical, and application-driven, facilitating knowledge to build or audit a much wider range of financial models. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Principles Of Financial Modelling

Author: Michael Rees
Editor: John Wiley & Sons
ISBN: 1118904001
File Size: 22,82 MB
Format: PDF, Docs
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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.

Practical Financial Modelling

Author: Jonathan Swan
Editor: Butterworth-Heinemann
ISBN: 9780080570112
File Size: 49,87 MB
Format: PDF
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This second edition of Practical Financial Modelling is vital tool for all finance and management professionals whose work involves the production and development of complex spreadsheets and financial models. The author bridges the gap between the Excel manual and financial literature with a wealth of practical advise and useful tips. The book identifies good practice and highlights those areas which are prone to error and inconsistency resulting in a refreshingly simple approach to building and using financial models suitable for novice and experienced modellers. By using practical worked examples the most effective ways in which problems can be solved are explored. Key themes include: model structure, audit formulae and functions and model use. New to the second edition: Instructive information on Excel 2007 and its enhanced modelling functions and feature; Risk controls in developing and using financial models; Test-yourself modelling problems and applied examples in every chapter; Substantial information related to reporting and charting techniques and an appendix devoted to parallel comparison of how-to in Excel 2003 and 2007. • Instructive information on Excel 2007 and its enhanced modelling functions and features • Risk controls in developing and using financial models • Test-yourself modelling problems and applied examples in every chapter • Substantial information relating to reporting and charting techniques • An appendix devoted to a parallel comparison of how-to in Excel 2003 and Excel 2007

Financial Modelling With Excel

Author: Terry Ord
Editor:
ISBN: 9780646432618
File Size: 75,45 MB
Format: PDF, ePub, Mobi
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Market Practice In Financial Modelling

Author: Chia Chiang Tan
Editor: World Scientific Publishing Company
ISBN: 9814434582
File Size: 78,69 MB
Format: PDF, ePub, Mobi
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Written to bridge the gap between foundational quantitative finance and market practice, this book goes beyond the basics covered in most textbooks by presenting content concerning actual industry norms, thus resulting in a clearer picture of the field for the readers. These include, for instance, the practitioner's perspective of how local versus stochastic volatility affects forward smile, or the implications of mean reversion on forward volatility. Key considerations for modelling in rates, equities and foreign exchange are presented from the perspective of common themes across various assets, as well as their individual characteristics. The discussion on models emphasizes the key aspects that are relevant to the pricing of different types of financial derivatives, so that the reader can observe how an appropriate choice of models is essential in reflecting the risk profile and hedging considerations for different products. With the knowledge gleaned from this book, readers will attain a more comprehensive understanding of market practice in derivatives modelling. Foreword Foreword (246 KB)

Business Risk And Simulation Modelling In Practice

Author: Michael Rees
Editor: John Wiley & Sons
ISBN: 1118904044
File Size: 46,38 MB
Format: PDF
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The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website.

Using Excel For Business And Financial Modelling

Author: Danielle Stein Fairhurst
Editor: Wiley
ISBN: 111952038X
File Size: 41,51 MB
Format: PDF
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A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.

Financial Modeling In Excel For Dummies

Author: Danielle Stein Fairhurst
Editor: John Wiley & Sons
ISBN: 1119357543
File Size: 39,46 MB
Format: PDF, Docs
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Make informed business decisions with the beginner's guide to financial modeling using Microsoft Excel Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is a basic understanding of Excel to start building simple models with practical hands-on exercises and before you know it, you'll be modeling your way to optimized profits for your business in no time. Excel is powerful, user-friendly, and is most likely already installed on your computer—which is why it has so readily become the most popular financial modeling software. This book shows you how to harness Excel's capabilities to determine profitability, develop budgetary projections, model depreciation, project costs, value assets and more. You'll learn the fundamental best practices and know-how of financial modeling, and how to put them to work for your business and your clients. You'll learn the tools and techniques that bring insight out of the numbers, and make better business decisions based on quantitative evidence. You'll discover that financial modeling is an invaluable resource for your business, and you'll wonder why you've waited this long to learn how! Companies around the world use financial modeling for decision making, to steer strategy, and to develop solutions. This book walks you through the process with clear, expert guidance that assumes little prior knowledge. Learn the six crucial rules to follow when building a successful financial model Discover how to review and edit an inherited financial model and align it with your business and financial strategy Solve client problems, identify market projections, and develop business strategies based on scenario analysis Create valuable customized templates models that can become a source of competitive advantage From multinational corporations to the mom-and-pop corner store, there isn't a business around that wouldn't benefit from financial modeling. No need to buy expensive specialized software—the tools you need are right there in Excel. Financial Modeling in Excel For Dummies gets you up to speed quickly so you can start reaping the benefits today!

Financial Modeling

Author: Simon Benninga
Editor: MIT Press
ISBN: 9780262024822
File Size: 74,30 MB
Format: PDF, ePub
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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 Modeling And Valuation

Author: Paul Pignataro
Editor: John Wiley & Sons
ISBN: 1118558693
File Size: 38,44 MB
Format: PDF, Kindle
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Written by the Founder and CEO of the prestigious New YorkSchool of Finance, this book schools you in the fundamental toolsfor accurately assessing the soundness of a stock investment. Builtaround a full-length case study of Wal-Mart, it shows you how toperform an in-depth analysis of that company's financial standing,walking you through all the steps of developing a sophisticatedfinancial model as done by professional Wall Street analysts. Youwill construct a full scale financial model and valuationstep-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated thestock was undervalued. Since the first run of the analysis, thestock has increased 35 percent. Re-evaluating Wal-Mart9months later, we will step through the techniques utilized by WallStreet analysts to build models on and properly value businessentities. Step-by-step financial modeling - taught using downloadableWall Street models, you will construct the model step by step asyou page through the book. Hot keys and explicit Excel instructions aid even the noviceexcel modeler. Model built complete with Income Statement, Cash FlowStatement, Balance Sheet, Balance Sheet Balancing Techniques,Depreciation Schedule (complete with accelerating depreciation anddeferring taxes), working capital schedule, debt schedule, handlingcircular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aidin conceptual understanding. Concepts are reiterated and honed, perfect for a novice yetdetailed enough for a professional. Model built direct from Wal-Mart public filings, searchingthrough notes, performing research, and illustrating techniques toformulate projections. Includes in-depth coverage of valuation techniques commonlyused by Wall Street professionals. Illustrative comparable company analyses - built the right way,direct from historical financials, calculating LTM (Last TwelveMonth) data, calendarization, and properly smoothing EBITDA and NetIncome. Precedent transactions analysis - detailing how to extractproper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustratinghow a DCF is utilized, how unlevered free cash flow is derived, andthe meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studiesand common interview questions (found in the companion website)help solidify the techniques honed in the book; ideal foruniversities or business students looking to break into theinvestment banking field.

Financial Modelling

Author: Joerg Kienitz
Editor: John Wiley & Sons
ISBN: 0470744898
File Size: 29,82 MB
Format: PDF
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Financial modelling Theory, Implementation and Practice with Matlab Source Jörg Kienitz and Daniel Wetterau Financial Modelling - Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk-neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model. Source code used for producing the results and analysing the models is provided on the author's dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981.

Financial Analysis And Modeling Using Excel And Vba

Author: Chandan Sengupta
Editor: John Wiley & Sons
ISBN: 047027560X
File Size: 49,88 MB
Format: PDF, ePub
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Provides a comprehensive guide for anyone who has to undertake financial analysis, or understand and implement financial models. Discusses a wide range of real-world financial problems and models using Excel 2007 and Visual Basic for Applications (VBA). Provides reference to earlier versions of Excel and VBA, and includes a CD-Rom with modelling tools and working versions of models discussed.

Introduction To Financial Modelling

Author: Liam Bastick
Editor: Tickling Keys, Inc.
ISBN: 1615471529
File Size: 32,31 MB
Format: PDF, ePub, Mobi
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If you have had little formal training in developing financial forecasts in Excel or have ever burnt the midnight oil trying to get a Balance Sheet to balance, then this book is for you. A simple walkthrough of the common perils and pitfalls of financial modelling, this book constructs a solid foundation to build upon (pun most definitely intended). Taking little for granted, Liam examines the common Excel functions and functionalities necessary, emphasises the importance of a standardised and functional layout, explains accounting concepts simply and reinforces the four key concepts of a "Best Practice" model: Consistency, Robustness, Flexibility and Transparency &– CraFT. With over 50 examples and an extended case study that creates a simple financial model from scratch to highlight the key concepts, this is a "hands on" book, focused on working with Excel more efficiently and effectively. A simple process, this methodology has been adopted by many seasoned professionals without resorting to balancing figures, circulars and macros.

Using Excel For Business Analysis

Author: Danielle Stein Fairhurst
Editor: John Wiley & Sons
ISBN: 1118132874
File Size: 67,49 MB
Format: PDF, ePub, Docs
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A clear, concise, and easy-to-use guide to financial modelling suitable for practitioners at every level Using a fundamental approach to financial modelling that's accessible to both new and experienced professionals, Using Excel for Business Analysis: A Guide to Financial Modelling Fundamentals + Website offers practical guidance for anyone looking to build financial models for business proposals, to evaluate opportunities, or to craft financial reports. Comprehensive in nature, the book covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. As well as explaining the essentials of financial modelling, Using Excel for Business Analysis is packed with exercises and case studies to help you practice and test your comprehension, and includes additional resources online. Provides comprehensive coverage of the principles and best practices of financial modeling, including planning, how to structure a model, layout, the anatomy of a good model, rebuilding an inherited model, and much more Demonstrates the technical Excel tools and techniques needed to build a good model successfully Outlines the skills you need to learn in order to be a good financial modeller, such as technical, design, and business and industry knowledge Illustrates successful best practice modeling techniques such as linking, formula consistency, formatting, and labeling Describes strategies for reducing errors and how to build error checks and other methods to ensure accurate and robust models A practical guide for professionals, including those who do not come from a financial background, Using Excel for Business Analysis is a fundamentals-rich approach to financial modeling.

Modelling Irregularly Spaced Financial Data

Author: Nikolaus Hautsch
Editor: Springer Science & Business Media
ISBN: 3642170153
File Size: 59,67 MB
Format: PDF, Kindle
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This book provides a methodological framework to model univariate and multivariate irregularly spaced financial data. It gives a thorough review of recent developments in the econometric literature, puts forward existing approaches and opens up new directions. The book presents alternative ways to model so-called financial point processes using dynamic duration as well as intensity models and discusses their ability to account for specific features of point process data, like the occurrence of time-varying covariates, censoring mechanisms and multivariate structures. Moreover, it illustrates the use of various types of financial point processes to model financial market activity from different viewpoints and to construct volatility and liquidity measures under explicit consideration of the passing trading time.

Financial Modelling In Corporate Management

Author: James W. Bryant
Editor: John Wiley & Sons Incorporated
ISBN:
File Size: 21,29 MB
Format: PDF, Mobi
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Intended as an introduction for anyone concerned with financial management, this book successfully tackles the subject of practical financial modelling and should appeal to managers, analysts, practitioners and students alike.

Financial Modeling Using Excel And Vba

Author: Chandan Sengupta
Editor: John Wiley & Sons
ISBN: 9780471267683
File Size: 32,74 MB
Format: PDF, ePub, Mobi
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"Reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial models" - cover.

Using Excel For Business And Financial Modelling 3rd Edition

Author: Danielle Fairhurst
Editor:
ISBN:
File Size: 26,60 MB
Format: PDF, Docs
Read: 3941
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A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques." Provides the perfect mix of practice and theory " Helps you become a DIY Excel modelling specialist " Includes updates for Excel 2019/365 and Excel for Mac " May be used as an accompaniment to the author's online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.

Advanced Modelling In Mathematical Finance

Author: Jan Kallsen
Editor: Springer
ISBN: 3319458752
File Size: 78,69 MB
Format: PDF, Docs
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This Festschrift resulted from a workshop on “Advanced Modelling in Mathematical Finance” held in honour of Ernst Eberlein’s 70th birthday, from 20 to 22 May 2015 in Kiel, Germany. It includes contributions by several invited speakers at the workshop, including several of Ernst Eberlein’s long-standing collaborators and former students. Advanced mathematical techniques play an ever-increasing role in modern quantitative finance. Written by leading experts from academia and financial practice, this book offers state-of-the-art papers on the application of jump processes in mathematical finance, on term-structure modelling, and on statistical aspects of financial modelling. It is aimed at graduate students and researchers interested in mathematical finance, as well as practitioners wishing to learn about the latest developments.

Interest Rate Risk Models

Author: Anthony G. Cornyn
Editor: Global Professional Publishi
ISBN: 9781888998047
File Size: 61,15 MB
Format: PDF
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� Practical guide for asset-liability managers faced with the decision as to whether to build or buy a financial model � Topics include modeling cash flows, net investment income versus net portfolio value, projections of interest rates, and volatility A guide for asset-liability managers and other investment professionals who are faced with the decision of whether to build or buy a financial model to measure, monitor, and help manage their institution's risk exposure. It reviews the evolution of interest rate risk models and evaluates the state-of-the-art models in use. Includes Modeling cash flows; modeling the term structure; OAS technology; net interest income versus net portfolio value; build versus buy analysis; practical methods for deriving input assumptions; prepayment rates; deposit decay rates; projections of interest rate and volatility.