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Financial Valuation Applications And Models Website

Author: James R. Hitchner
Publisher: John Wiley & Sons
ISBN: 1119286603
Size: 25.72 MB
Format: PDF, ePub
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"This new and updated edition presents a consensus view from 30 top valuations experts. It shows the appropriate and defensible way to prepare and present business valuations with a strong emphasis on applications and models"--

Financial Valuation Website

Author: James R. Hitchner
Publisher: John Wiley & Sons
ISBN: 9780470915240
Size: 31.73 MB
Format: PDF
View: 2335
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Real world applications and professional consensus by nationally recognized valuation experts Filled with a wealth of detail, practice tips, and examples, Financial Valuation: Applications and Models, Third Edition brings together thirty nationally recognized names in the valuation industry hailing from a variety of professional specializations-including accounting, business appraisal, and financial analysis-to provide practitioners with an indispensable reference on various valuation issues. Assembled by valuation authority James Hitchner, these contributors analyze, explain, and collaborate on the most effective valuation procedures to share real-world applications in the field of financial valuations. Written by 30 top experts in business valuations field Provides the valuation theory, the consensus view on application, and then the tools to apply it An all-encompassing valuation handbook that presents the application of financial valuation theory for business appraisers and consultants New chapters on Assessing Risk and Expert Witness Testimony Expands chapter on Cost of Capital Comprehensive in coverage and authoritative in treatment, James Hitchner's Financial Valuation, Third Edition provides trusted, complete business valuation information for CPAs, appraisers, analysts, attorneys, and corporate executives.

Corporate And Project Finance Modeling

Author: Edward Bodmer
Publisher: John Wiley & Sons
ISBN: 1118854365
Size: 59.77 MB
Format: PDF, Kindle
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A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field.

Simulation And Optimization In Finance

Author: Dessislava A. Pachamanova
Publisher: John Wiley & Sons
ISBN: 9780470882122
Size: 13.96 MB
Format: PDF
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An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications. Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB) Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.

Basel Iii Credit Rating Systems

Author: L. Izzi
Publisher: Springer
ISBN: 0230361188
Size: 18.34 MB
Format: PDF, Kindle
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More than ever, banking competition is based on the ability to control the cost of risk and can only be managed with excellent internal rating models and very advanced risk management processes. This book is a comprehensive guide to quantitative and qualitative rating assessments with up-to-date methodologies in the international banking system.

Principles Of Financial Modelling

Author: Michael Rees
Publisher: John Wiley & Sons
ISBN: 1118904001
Size: 28.43 MB
Format: PDF
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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.

Financial Valuation Workbook

Author: James R. Hitchner
Publisher: John Wiley & Sons
ISBN: 9781118092767
Size: 47.30 MB
Format: PDF, Docs
View: 1799
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The resource that cuts the learning curve in half for valuation professionals Now valuation professionals can master almost every function for most valuation situations. The Financial Valuation Workbook, Third Edition guides readers through a complete business valuation with essential tools for quick reference. Updated and expanded chapter on The Process of Preparing a Valuation- Client Workflow Procedures from initial phone call to delivery of the report Expanded case study and exercises with solutions and explanations Over 300 exercises organized by major areas to increase the learning process This Workbook is organized by standard, easily identifiable sections that allow for easy reference by all professionals.

Stochastic Simulation And Applications In Finance With Matlab Programs

Author: Huu Tue Huynh
Publisher: John Wiley & Sons
ISBN: 0470722134
Size: 45.23 MB
Format: PDF, ePub, Docs
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Stochastic Simulation and Applications in Finance with MATLAB Programs explains the fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of stochastic differential equations and their current applications in finance. Building on an integrated approach, it provides a pedagogical treatment of the need-to-know materials in risk management and financial engineering. The book takes readers through the basic concepts, covering the most recent research and problems in the area, including: the quadratic re-sampling technique, the Least Squared Method, the dynamic programming and Stratified State Aggregation technique to price American options, the extreme value simulation technique to price exotic options and the retrieval of volatility method to estimate Greeks. The authors also present modern term structure of interest rate models and pricing swaptions with the BGM market model, and give a full explanation of corporate securities valuation and credit risk based on the structural approach of Merton. Case studies on financial guarantees illustrate how to implement the simulation techniques in pricing and hedging. NOTE TO READER: The CD has been converted to URL. Go to the following website www.wiley.com/go/huyhnstochastic which provides MATLAB programs for the practical examples and case studies, which will give the reader confidence in using and adapting specific ways to solve problems involving stochastic processes in finance.

Intermediate Structured Finance Modeling

Author: William Preinitz
Publisher: John Wiley & Sons
ISBN: 0470928786
Size: 52.94 MB
Format: PDF, Kindle
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This book provides a pragmatic, hands-on approach to reaching an intermediate level of sophistication as a financial modeler. Expanding on the first book, A Fast Tract to Structured Finance Modeling, Monitoring, and Valuation, the book will guide you step-by-step through using learned principals in new and more powerful applications. These applications will build on the knowledge of Excel and VBA gained, expand the use of Access for data management tasks, as well as PowerPoint and Outlook for reporting and presentation tasks.

An Introduction To Analysis Of Financial Data With R

Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1119013461
Size: 17.81 MB
Format: PDF, ePub
View: 5238
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A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.