The ability to effectively create and interpret financial models is one of the most valued skills in corporate finance--from Wall Street to Main Street. Now, the acclaimed guide to designing, building, and implementing valuation projection models is fully revised and expanded to keep finance and accounting professionals competitive in today's marketplace. This second edition of Building Financial Models continues the tradition of its predecessor by providing a hands-on approach to creating a core model that is supported by broad coverage of cornerstone accounting and finance principles. Additionally, this updated volume features: Entirely new coverage of discounted cash flow (DCF) modeling Excel formulas for making powerful calculations within the spreadsheet In-depth explanations of both the principles and mechanics of projection models Building Financial Models helps readers practice good thinking and apply sound knowledge of their tools--two key attributes to producing robust and easy-to-use models. This practical guide takes you step by step through the entire process of developing a projection model, with a full chapter dedicated to each phase. By the end, you will have a working, dynamic spreadsheet financial model for making projections for industrial and manufacturing companies. Furthermore, this Second Edition provides the vocabulary and syntax of model building so you can tailor core models to fit any size company and allow for quick input changes to test sensitivity. The companion website www.buildingfinancialmodel.com offering example spreadsheets will give you a head start on developing your own models. A flexible and successful financial projection model does more than just add numbers--it explains the complex relationships between those numbers and illuminates ways to use those associations to add value to an enterprise. Building Financial Models is the only book you need to create and implement a fluid financial projection model that is both state of the art and user friendly.

Modelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory. This text should be suitable for the reader without a deep mathematical background. It seeks to provide an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived.

The rewards and dangers of speculating in the modern financial markets have come to the fore in recent times with the collapse of banks and bankruptcies of public corporations as a direct result of ill-judged investment. At the same time, individuals are paid huge sums to use their mathematical skills to make well-judged investment decisions. Here now is the first rigorous and accessible account of the mathematics behind the pricing, construction and hedging of derivative securities. Key concepts such as martingales, change of measure, and the Heath-Jarrow-Morton model are described with mathematical precision in a style tailored for market practitioners. Starting from discrete-time hedging on binary trees, continuous-time stock models (including Black-Scholes) are developed. Practicalities are stressed, including examples from stock, currency and interest rate markets, all accompanied by graphical illustrations with realistic data. A full glossary of probabilistic and financial terms is provided. This unique, modern and up-to-date book will be an essential purchase for market practitioners, quantitative analysts, and derivatives traders, whether existing or trainees, in investment banks in the major financial centres throughout the world.