Автор: David Hillier,Mark Grinblatt Название: Financial Markets and Corporate Strategy 2 ed. ISBN: 0077129423 ISBN-13(EAN): 9780077129422 Издательство: McGraw-Hill Рейтинг: Цена: 7853 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Financial Markets and Corporate Strategy
Автор: Benninga Simon Название: Financial Modeling ISBN: 0262027283 ISBN-13(EAN): 9780262027281 Издательство: MIT Press Рейтинг: Цена: 10956 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Описание: Part of the "Fisher Investment Series", this title offers insights into the worlds of investing and finance.
Автор: Ruey Tsay Название: Analysis of Financial Time Series ISBN: 0470414359 ISBN-13(EAN): 9780470414354 Издательство: Wiley Рейтинг: Цена: 13167 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: 7832 р. Наличие на складе: Поставка под заказ.
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.”
Автор: Danielsson Jon Название: Financial Risk Forecasting ISBN: 0470669438 ISBN-13(EAN): 9780470669433 Издательство: Wiley Рейтинг: Цена: 5774 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market and credit risks. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. The book first provides an introduction to the financial markets and market process, and the nature of risk in this environment. It then introduces risk measures such as VaR, risk in derivatives, the properties of market prices, volatility, backtesting, risk management and the regulation of risk, extreme value theory and credit risks, and finally, looks at financial crises and how the nature of risk changes with these crises. It will act as a complete guide to the core quantitative competencies required to understand and manage risks in todays financial climate. In addition, the author provides source code in both MATLAB and R, two of the most commonly used modeling programs with which the reader can implement the models illustrated in the book.
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: 5198 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: Lucien Lauren Название: Financial Planning Competency Handbook ISBN: 1118560868 ISBN-13(EAN): 9781118560860 Издательство: Wiley Цена: 9818 р. Наличие на складе: Поставка под заказ.
Автор: Lai, Tze Leung Xing, Haipeng Название: Statistical models and methods for financial markets ISBN: 1441926682 ISBN-13(EAN): 9781441926685 Издательство: Springer Рейтинг: Цена: 7728 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors here present statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. They provide basic statistical background as well as in-depth applications.
Описание: Structured Products Volume 1 consists of 4 Parts and 20 Chapters covering applications of derivatives, the creation of synthetic assets using derivaves (such as asset swaps, structured notes and repackaged assets), exotic options, non-generic derivative structures used in interest rates and currency markets (including non-generic swaps, basis (floating-to-floating) swaps, swaptions (options on interest rate swaps), callable bonds, CMT products, IAR products, interest rate and currency structured products.
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