Автор: John C. Hull Название: Risk management and financial institutions, 4th ed ISBN: 1118955943 ISBN-13(EAN): 9781118955949 Издательство: Wiley Рейтинг: Цена: 10450 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: All Finance Professionals Need to Understand Risk Companies must take risks to survive and prosper, but deciding which risks are acceptable, which are not, and what action to take is the tricky part. To be successful, all finance professionals need a solid understanding of risk. Risk Management and Financial Institutions, written by one of the most respected authorities on financial risk management, is thorough, textbook–level instruction for all finance professionals, on all aspects of financial risk. Fully revised and updated, this top–selling book clarifies such complex topics as the diff erent types of financial institutions and how they are regulated, valuation and scenario analysis, credit risk, margin and collateral, volatility, and much more. You?ll find new coverage of timely subjects, such as central clearing, scenario analysis, enterprise risk management, and the latest regulatory issues and gain access to a supplementary website with additional software and helpful learning aids. try." JOURNAL OF MOLECULAR GRAPHICS AND MODELLING "One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)." JOURNAL OF THE AMERICAN CHEMICAL SOCIETY find indispensable. ny ways to invest in residential income property Considerations for foreclosures, REOs, and probate sales What you need to know about property inspections and closings Advice on setting rental policies and finding trustworthy tenants The lowdown on recordkeeping, accounting, and taxes Ways to increase a property?s return Ten insider?s steps to real estate investing success , over 255 papers; and given more than 160 conference presentations. aluation. Olofsson is the author of Probability, Statistics, and Stochastic Processes, Second Edition, also published by Wiley. ned to be used every day in the fast–paced veterinary setting Includes dosages for a wide range of species, including dogs, cats, exotic animals, and farm animals Provides a must–have reference for veterinarians and veterinary students se pathways can be individually assessed and compared to one another. The book describes both the strengths and limitations of the current molecular and atomistic modelling toolkit so that the professional interested in using these techniques can determine whether or not a given tool is appropriate for simulating the corrosion phenomenon at hand. The book also can serve as a reference for researchers seeking to build new research programs that will extend the current molecular modelling toolkit into exciting new directions. Molecular Modeling of Corrosion Processes features: Recent examples of applications of molecular modeling to corrosion phenomena throughout the text An introduction to mechanisms and models in corrosion science and engineering Methods such as kinetic Monte Carlo simulation, thermodynamic analysis, simulation of adsorption phenomena, statistical mechanics, and conventional transition state theory Presents current challenges and likely developments in this field for the future Various recent examples of applications of molecular modeling to corrosion phenomena are provided throughout the text. Some of these applications include the molecular dynamics of interfaces, dissolution mechanisms and dealloying, interrogating surface chemistry, properties of passive films, localized corrosion, the metal/metal oxide interface, hydrogen embrittlement, stress corrosion cracking, the modeling of corrosion inhibitors, and computational materials discovery. Christopher Taylor Ph.D. is a Senior Researcher in the Research and Innovation Group at DNV GL, and an Associate Research Professor in the Fontana Corrosion Center of The Ohio Stat
Автор: David Hillier,Mark Grinblatt Название: Financial Markets and Corporate Strategy 2 ed. ISBN: 0077129423 ISBN-13(EAN): 9780077129422 Издательство: McGraw-Hill Рейтинг: Цена: 3950 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Financial Markets and Corporate Strategy
Описание: Provides an approach that focuses on managing return and risk in modern financial institutions.
Автор: Benninga Simon Название: Financial Modeling ISBN: 0262027283 ISBN-13(EAN): 9780262027281 Издательство: Wiley Рейтинг: Цена: 7838 р. Наличие на складе: Ожидается поступление.
Описание:
A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners.
Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the "cookbook" features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler.
The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters.
New print copies of this book include a card affixed to the inside back cover with a unique access code. Access codes are required to download Excel worksheets and solutions to end-of-chapter exercises. If you have a used copy of this book, you may purchase a digitally-delivered access code separately via the Supplemental Material link on this page. If you purchased an e-book, you may obtain a unique access code by emailing digitalproducts-cs@mit.edu or calling 617-253-2889 or 800-207-8354 (toll-free in the U.S. and Canada).
Praise for earlier editions "Financial Modeling belongs on the desk of every finance professional. Its no-nonsense, hands-on approach makes it an indispensable tool." -- Hal R. Varian, Dean, School of Information Management and Systems, University of California, Berkeley
" Financial Modeling is highly recommended to readers who are interested in an introduction to basic, traditional approaches to financial modeling and analysis, as well as to those who want to learn more about applying spreadsheet software to financial analysis." -- Edward Weiss, Journal of Computational Intelligence in Finance
"Benninga has a clear writing style and uses numerous illustrations, which make this book one of the best texts on using Excel for finance that I've seen." -- Ed McCarthy, Ticker Magazine
Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 6544 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."
Автор: Ruey Tsay Название: Analysis of Financial Time Series ISBN: 0470414359 ISBN-13(EAN): 9780470414354 Издательство: Wiley Рейтинг: Цена: 12540 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Analysis of Financial Time Series, Third Edition provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.
Автор: Franke Название: Statistics of Financial Markets, 3 ed. ISBN: 3642165206 ISBN-13(EAN): 9783642165207 Издательство: Springer Рейтинг: Цена: 7008 р. Наличие на складе: Нет в наличии.
Описание: Statistics of Financial Markets offers a vivid yet concise introduction to the growing field of statistical application in finance. The reader will learn the basic methods of evaluating option contracts, analysing financial time series, selecting portfolios and managing risks making realistic assumptions of the market behaviour. The focus is both on the fundamentals of mathematical finance and financial time series analysis and on applications to given problems of financial markets, thus making the book the ideal basis for lecturers, seminars and crash courses on the topic. For the third edition the book has been updated and extensively revised. Several new aspects have been included: new chapters on long memory models, copulae and CDO valuation.Practical exercises have been added, the solutions of which are provided in the book by S. Borak, W. H?rdle and B. Lopez Cabrera (2010) ISBN 978-3-642-11133-4.“Both R and Matlab Code, together with the data, can be downloaded by clicking on the Additional Information tab labeled “R and Matlab Code,” which you will find on the right-hand side of the webpage.”
Описание: The first decade of the 21st Century has been disastrous for financial institutions, derivatives and risk management. Counterparty credit risk has become the key element of financial risk management, highlighted by the bankruptcy of the investment bank Lehman Brothers and failure of other high profile institutions such as Bear Sterns, AIG, Fannie Mae and Freddie Mac. The sudden realisation of extensive counterparty risks has severely compromised the health of global financial markets. Counterparty risk is now a key problem for all financial institutions. This book explains the emergence of counterparty risk during the recent credit crisis. The quantification of firm-wide credit exposure for trading desks and businesses is discussed alongside risk mitigation methods such as netting and collateral management (margining) and central counterparties. Banks and other financial institutions have been recently developing their capabilities for pricing counterparty risk and these elements are considered in detail via a characterisation of credit value adjustment (CVA). The implications of an institution valuing their own default via debt value adjustment (DVA) and funding costs (FVA) are also considered at length. Portfolio management and hedging of CVA are described in full. Wrong-way counterparty risks are addressed in detail in relation to interest rate, foreign exchange, commodity and credit derivative products. Regulatory capital for counterparty risk, including the recent Basel III requirements for CVA VAR is discussed. The management of counterparty risk within an institution by a CVA desk is also discussed in detail. Finally, the design and benefits of central clearing, a recent development to attempt to control the rapid growth of counterparty risk, is considered. Hedging aspects, together with the associated instruments such as credit defaults swaps (CDSs) and contingent CDS (CCDS) are described in full. This book is unique in being practically focused but also covering the more technical aspects. It is an invaluable complete reference guide for any market practitioner, policy maker, academic or student with any responsibility or interest within the area of counterparty credit risk and CVA.
Описание: *Provides an introduction to the basics of financial statistics and mathematical finance.
Автор: Ait-Sahalia Yacine Название: High-Frequency Financial Econometrics ISBN: 0691161437 ISBN-13(EAN): 9780691161433 Издательство: Wiley Рейтинг: Цена: 3966 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. This book introduces readers to these emerging methods and tools of analysis.
Автор: Cont, Tankov Название: Financial modelling with jump processes ISBN: 1584884134 ISBN-13(EAN): 9781584884132 Издательство: Taylor&Francis Рейтинг: Цена: 7627 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.
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