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: Random House (USA) Рейтинг: Цена: 12760 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: 13035 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: 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: Jong, Frank De Rindi, Barbara Название: Microstructure of financial markets ISBN: 0521687276 ISBN-13(EAN): 9780521687270 Издательство: Cambridge Academ Рейтинг: Цена: 3450 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The analysis of the microstructure of financial markets has been one of the most important areas of research in finance and has allowed scholars and practitioners alike to have a much more sophisticated understanding of the dynamics of price formation in financial markets. Frank de Jong and Barbara Rindi provide an integrated graduate level textbook treatment of the theory and empirics of the subject, starting with a detailed description of the trading systems on stock exchanges and other markets and then turning to economic theory and asset pricing models. Special attention is paid to models explaining transaction costs, with a treatment of the measurement of these costs and the implications for the return on investment. The final chapters review recent developments in the academic literature. End-of-chapter exercises and downloadable data from the book's companion website provide opportunities to revise and apply models developed in the text.
Описание: This book presents selected paperson the factors that serve to influence an individual’s capacity in financialdecision-making. Initial chapters provide an overview of the cognitive factorsaffecting financial decisions and suggest a link between limited cognitivecapacity and the need for financial education. The book then expands on thesecognitive limitations to explore the tendency for overconfidence indecision-making and the interplay between rational and irrational factors.Later contributions show how credit card companies benefit from limitations inconsumer financial literacy, how gender and cognition intersect to play animportant role in financial decision-making, and how to improve financialcapacity through financial literacy and education campaigns, including thoseaddressing developed marketplaces. This comprehensive collection of papers willbe of value to all readers who seek to better understand the multi-factorialand complex nature of personal financial management in today’s economicclimate.
Название: Financial Literacy Education, Addre ISBN: 1498738532 ISBN-13(EAN): 9781498738538 Издательство: Taylor&Francis Рейтинг: Цена: 19058 р. Наличие на складе: Поставка под заказ.
Описание: Today's graduates should be grounded in the basics of personal finance and possess the skills and knowledge necessary to make informed decisions and take responsibility for their own financial well-being. Faced with an array of complex financial services and sophisticated products, many graduates lack the knowledge and skills to make rational, informed decisions on the use of their money and planning for future events, such as retirement. This book shows what you can do to improve financial literacy awareness and education. It covers the use of interactive games and tutorials, peer-to-peer mentoring, and financial literacy contests in addition to more formal education. It gives you a sample of approaches and experiences in the financial literacy arena. Divided into three parts, the book covers financial literacy education for grades K–12, college, and post-college.
Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 7314 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."
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