Financial Valuation: Applications and Models

The appropriate, defensible way to prepare and present business valuations, with a strong emphasis on applications and models Financial Valuation provides an all-encompassing valuation tome that presents the application of financial valuation theory in an easily understood manner. Delivering valuation theory, the consensus view on application, and the tools to make it happen, James Hitchner?s all-star cast of contributors offer numerous examples, checklists, and models to assist in navigating a valuation project. The book contains hundreds of short, easily understandable «Valuation Tips,» and covers best practices from the view of these twenty-five experts.

Praise for Financial Valuation «This Second Edition addresses virtually all of the recent hot topics in business valuation, and there are many of them since the first edition. Most chapters are updated with new material, including, especially, the Duff & Phelps Risk Premium Report as an alternative to Ibbotson's risk premium data. As with the first edition, the authors are very well-known and provide incisive analysis.» –Shannon Pratt, CFA, FASA, MCBA, CM&AA, CEO, Shannon Pratt Valuations, LLC «Though the first edition of Mr. Hitchner's book was excellent in all regards, this Second Edition squarely puts Hitchner and his team of authors at the top of the list of authorities in the field of business valuation. Few publications on the subject even come close to the book's thorough coverage of the topic, but equally impressive is the clarity with which Hitchner depicts and explains highly complex subject matters. So impressed with Financial Valuation Applications and Models, the National Association of Certified Valuation Analysts has developed a three-day course based upon this book entitled, 'Advanced Valuation and Case Study Workshop,' which is now a cornerstone training program for our organization.» –Parnell Black, MBA, CPA, CVA, Chief Executive Officer, NACVA «This book is a valuable resource for every BV library. It has material not covered in other BV books and this Second Edition has much more information than the first. Financial Valuation Applications and Models is the primary textbook for AICPA's business valuation education and it covers most of the topics on the test for the AICPA's Accredited in Business Valuation (ABV) credential. Its thirty authors are nationally respected practitioners who have written this book for practitioners. Many of the authors are current or former members of the AICPA Business Valuation Committee and the AICPA BV Hall of Fame.» –Michael A. Crain, CPA/ABV, ASA, CFA, CFE, Chair, AICPA Business Valuation Committee, Managing Director, The Financial Valuation Group «This book has a tremendous wealth of information that all valuation analysts must have in their libraries. From those just starting their careers to the most experienced practitioner, all valuation analysts will benefit from the invaluable information, ranging from fundamental practices to the most innovative economic and valuation ideas of today.» –Scott R. Saltzman, CPA, CVA, ASA, DABFA, Managing Member, Saltzman LLC; President, National Association of Certified Valuation Analysts Coauthors: Mel H. Abraham, R. James Alerding, Terry Jacoby Allen, Larry R. Cook, Michael A. Crain, Don M. Drysdale, Robert E. Duffy, Edward J. Dupke, Nancy J. Fannon, John R. Gilbert, Chris Hamilton, Thomas E. Hilton, James R. Hitchner, Steven D. Hyden, Gregory S. Koonsman, Mark G. Kucik, Eva M. Lang, Derald L. Lyons, Michael J. Mard, Harold G. Martin Jr., Michael Mattson, Edward F. Moran Jr., Raymond E. Moran, James S. Rigby Jr., Ronald L. Seigneur, Robin E. Taylor, Linda B. Trugman, Samuel Y. Wessinger, Don Wisehart, and Kevin R. Yeanoplos

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications. Key features: Provides up-to-date coverage of the current research in the probability, statistics and econometric theory of GARCH models. Numerous illustrations and applications to real financial series are provided. Supporting website featuring R codes, Fortran programs and data sets. Presents a large collection of problems and exercises. This authoritative, state-of-the-art reference is ideal for graduate students, researchers and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.

Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and provides the basic theoretical and empirical background, before proceeding to more advanced issues and applications. The Authors provide coverage of the recent developments in ARCH modelling which can be implemented using econometric software, model construction, fitting and forecasting and model evaluation and selection. Key Features: Presents a comprehensive overview of both the theory and the practical applications of ARCH, an increasingly popular financial modelling technique. Assumes no prior knowledge of ARCH models; the basics such as model construction are introduced, before proceeding to more complex applications such as value-at-risk, option pricing and model evaluation. Uses empirical examples to demonstrate how the recent developments in ARCH can be implemented. Provides step-by-step instructive examples, using econometric software, such as Econometric Views and the G@RCH module for the Ox software package, used in Estimating and Forecasting ARCH Models. Accompanied by a CD-ROM containing links to the software as well as the datasets used in the examples. Aimed at readers wishing to gain an aptitude in the applications of financial econometric modelling with a focus on practical implementation, via applications to real data and via examples worked with econometrics packages.

Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.

The golden standard evaluation reference text Now in its second edition, Evaluation Theory, Models, and Applications is the vital text on evaluation models, perfect for classroom use as a textbook, and as a professional evaluation reference. The book begins with an overview of the evaluation field and program evaluation standards, and proceeds to cover the most widely used evaluation approaches. With new evaluation designs and the inclusion of the latest literature from the field, this Second Edition is an essential update for professionals and students who want to stay current. Understanding and choosing evaluation approaches is critical to many professions, and Evaluation Theory, Models, and Applications, Second Edition is the benchmark evaluation guide. Authors Daniel L. Stufflebeam and Chris L. S. Coryn, widely considered experts in the evaluation field, introduce and describe 23 program evaluation approaches, including, new to this edition, transformative evaluation, participatory evaluation, consumer feedback, and meta-analysis. Evaluation Theory, Models, and Applications, Second Edition facilitates the process of planning, conducting, and assessing program evaluations. The highlighted evaluation approaches include: Experimental and quasi-experimental design evaluations Daniel L. Stufflebeam's CIPP Model Michael Scriven's Consumer-Oriented Evaluation Michael Patton's Utilization-Focused Evaluation Robert Stake's Responsive/Stakeholder-Centered Evaluation Case Study Evaluation Key readings listed at the end of each chapter direct readers to the most important references for each topic. Learning objectives, review questions, student exercises, and instructor support materials complete the collection of tools. Choosing from evaluation approaches can be an overwhelming process, but Evaluation Theory, Models, and Applications, Second Edition updates the core evaluation concepts with the latest research, making this complex field accessible in just one book.

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.

Valuation for Financial Reporting: Intangible Assets, Goodwill, and Impairment Analysis provides guidance and insight in the identification and measurement of intangible assets and goodwill pursuant to the Financial Accounting Standards Board Statements of Financial Accounting Standards (SFAS) No. 141, Business Combinations and (SFAS) No. 142 Goodwill and Other Intangible Assets. The new rules are sweeping and complex. Valuation for Financial Reporting will bring clarity to CFOs, auditors, valuation professionals, and CPAs by explaining the valuation aspects of the new financial reporting requirements, including how to identify the characteristics of goodwill and intangible assets, determine if impairment has occurred, and employ specific methods to assess the financial impact of such impairment. While numerous articles and commentaries on the subject have appeared dating back to the time the FASB began considering the issue, Valuation for Financial Reporting is the first to provide «real world» examples of the valuation techniques and methodologies required to perform a purchase price allocation under SFAS No. 141 and an impairment study under SFAS No. 142. Valuation for Financial Reporting will help lift the veil of mystery surrounding these two important pronouncements and provide a practical guide for their implementation. This book: * Shows the CPA and client how to apply the new SFAS 141 rules that pertain to all companies involved in an acquisition (buyer or seller) by analyzing and valuing the tangible and intangible assets acquired. * Teaches the CPA and client how to apply the new SFAS 142 rules that pertain to all companies that recognize and measure intangible assets and goodwill which may now be impaired * Presents detailed case studies and examples on how to apply and implement SFAS 141 and SFAS 142 * Provides a «How To» on the identification and measurement of intangible assets. * Includes a checklist for controlling the gathering of data necessary for the analyses and another checklist guiding the work program for methodologies * Offers guidance and examples for financial reporting purposes.