Financial Models with Levy Processes and Volatility Clustering

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, L?vy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

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.

This comprehensive guide offers traders, quants, and students the tools and techniques for using advanced models for pricing options. The accompanying website includes data files, such as options prices, stock prices, or index prices, as well as all of the codes needed to use the option and volatility models described in the book. Praise for Option Pricing Models & Volatility Using Excel-VBA «Excel is already a great pedagogical tool for teaching option valuation and risk management. But the VBA routines in this book elevate Excel to an industrial-strength financial engineering toolbox. I have no doubt that it will become hugely successful as a reference for option traders and risk managers.» —Peter Christoffersen, Associate Professor of Finance, Desautels Faculty of Management, McGill University «This book is filled with methodology and techniques on how to implement option pricing and volatility models in VBA. The book takes an in-depth look into how to implement the Heston and Heston and Nandi models and includes an entire chapter on parameter estimation, but this is just the tip of the iceberg. Everyone interested in derivatives should have this book in their personal library.» —Espen Gaarder Haug, option trader, philosopher, and author of Derivatives Models on Models «I am impressed. This is an important book because it is the first book to cover the modern generation of option models, including stochastic volatility and GARCH.» —Steven L. Heston, Assistant Professor of Finance, R.H. Smith School of Business, University of Maryland

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

Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world.

Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.

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.

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.

A comprehensive guide to building financial models Building Financial Models with Microsoft Excel + CD-ROM provides beginning or intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow readers to build their own financial models. This comprehensive resource also covers important topics such as the concept of valuation, the concept of sensitivity analysis, the concepts of contribution margin and financial ratios and the basics of building and using a Capitalization Table. K. Scott Proctor, CFA, is the Director of Investor Analytics at SNL Financial, a financial information provider.