Applied Probabilistic Calculus for Financial Engineering

Prepare students for success in using applied mathematics for engineering practice and post-graduate studies • moves from one mathematical method to the next sustaining reader interest and easing the application of the techniques • Uses different examples from chemical, civil, mechanical and various other engineering fields • Based on a decade’s worth of the authors lecture notes detailing the topic of applied mathematics for scientists and engineers • Concisely writing with numerous examples provided including historical perspectives as well as a solutions manual for academic adopters

Applied Engineering Analysis Tai-Ran Hsu, San Jose State University, USA A resource book applying mathematics to solve engineering problems Applied Engineering Analysis is a concise textbookwhich demonstrates how toapply mathematics to solve engineering problems. It begins with an overview of engineering analysis and an introduction to mathematical modeling, followed by vector calculus, matrices and linear algebra, and applications of first and second order differential equations. Fourier series and Laplace transform are also covered, along with partial differential equations, numerical solutions to nonlinear and differential equations and an introduction to finite element analysis. The book also covers statistics with applications to design and statistical process controls. Drawing on the author’s extensive industry and teaching experience, spanning 40 years, the book takes a pedagogical approach and includes examples, case studies and end of chapter problems. It is also accompanied by a website hosting a solutions manual and PowerPoint slides for instructors. Key features: Strong emphasis on deriving equations, not just solving given equations, for the solution of engineering problems. Examples and problems of a practical nature with illustrations to enhance student’s self-learning. Numerical methods and techniques, including finite element analysis. Includes coverage of statistical methods for probabilistic design analysis of structures and statistical process control (SPC). Applied Engineering Analysis is a resource book for engineering students and professionals to learn how to apply the mathematics experience and skills that they have already acquired to their engineering profession for innovation, problem solving, and decision making.

Applied C# in Financial Markets covers all the aspects of C# relevant to practitioners working in financial sector. It contains a practical workshop which builds on the material in the book, guiding you through all the stages of building a multiple model options calculator. An accompanying website features examples, illustrations and solutions to the workshops and a downloadable application to complement the book. Features examples and illustrations taken from a sample trading application, making the book relevant to those working in the financial markets. Provides a quick start to C# for financial professionals to hit the ground running in building financial applications. Workshops illustrate building an options calculator, exploring the various elements in C# as they progress.

Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

A whole is worth the sum of its parts. Even the most complex structured bond, credit arbitrage strategy or hedge trade can be broken down into its component parts, and if we understand the elemental components, we can then value the whole as the sum of its parts. We can quantify the risk that is hedged and the risk that is left as the residual exposure. If we learn to view all financial trades and securities as engineered packages of building blocks, then we can analyze in which structures some parts may be cheap and some may be rich. It is this relative value arbitrage principle that drives all modern trading and investment. This book is an easy-to-understand guide to the complex world of today’s financial markets teaching you what money and capital markets are about through a sequence of arbitrage-based numerical illustrations and exercises enriched with institutional detail. Filled with insights and real life examples from the trading floor, it is essential reading for anyone starting out in trading. Using a unique structural approach to teaching the mechanics of financial markets, the book dissects markets into their common building blocks: spot (cash), forward/futures, and contingent (options) transactions. After explaining how each of these is valued and settled, it exploits the structural uniformity across all markets to introduce the difficult subjects of financially engineered products and complex derivatives. The book avoids stochastic calculus in favour of numeric cash flow calculations, present value tables, and diagrams, explaining options, swaps and credit derivatives without any use of differential equations.

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics. Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

The pricing of derivative instruments has always been a highly complex and time-consuming activity. Advances in technology, however, have enabled much quicker and more accurate pricing through mathematical rather than analytical models. In this book, the author bridges the divide between finance and mathematics by applying this proven mathematical technique to the financial markets. Utilising practical examples, the author systematically describes the processes involved in a manner accessible to those without a deep understanding of mathematics. * Explains little understood techniques that will assist in the accurate more speedy pricing of options * Centres on the practical application of these useful techniques * Offers a detailed and comprehensive account of the methods involved and is the first to explore the application of these particular techniques to the financial markets

A timely update to one of the most well-received books on project financing As an effective alternative to conventional direct financing, project financing has become one of the hottest topics in corporate finance. It's being used more and more frequently—and more successfully—on a wide variety of high-profile corporate projects, and has long been used to fund large-scale natural resource projects. But the challenges of successful project financing are immense, and the requirements of the process can easily be misunderstood. That's why John Finnerty has returned with the Third Edition of Project Financing. Drawing on his vast experience in the field, Finnerty takes you through the process step by step. Using updated examples and case studies that illustrate how to apply the analytical techniques described in the book, he covers the rationale for project financing, how to prepare the financial plan, assess the risks, design the financing mix, raise the funds, and much more. Includes completely new chapters that cover the financing of sustainable projects as well as Sharia-compliant (Islamic) project financing New material has been added to the discussion of financial modeling and international debt financing Explores today's most innovative financing techniques and analyzes the shortcomings of unsuccessful project financing attempts Whether you're a corporate finance professional, project planner, or private investor, Project Financing, Third Edition demystifies the complexities of project financing and provides an invaluable guide for anyone who wants to master innovation in corporate finance today.

FINANCIAL ENGINEERING The Robert W. Kolb Series in Finance is an unparalleled source of information dedicated to the most important issues in modern finance. Each book focuses on a specific topic in the field of finance and contains contributed chapters from both respected academics and experienced financial professionals. As part of the Robert W. Kolb Series in Finance, Financial Engineering aims to provide a comprehensive understanding of this important discipline by examining its fundamentals, the newest financial products, and disseminating cutting-edge research. A contributed volume of distinguished practitioners and academics, Financial Engineering details the different participants, developments, and products of various markets—from fixed income, equity, and derivatives to foreign exchange. Also included within these pages are comprehensive case studies that reveal the various issues associated with financial engineering. Through them, you'll gain instant insights from the stories of Countrywide (mortgages), Soci?t? G?n?rale and Barings (derivatives), the Allstate Corporation (fixed income), AIG, and many others. There is also a companion website with details from the editors' survey of financial engineering programs around the globe, as well as a glossary of key terms from the book. Financial engineering is an evolving field in constant revision. Success, innovation, and profitability in such a dynamic area require being at the forefront of research as new products and models are introduced and implemented. If you want to enhance your understanding of this discipline, take the time to learn from the experts gathered here.

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.