Описание: Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitative practitioners and students, providing guidance through a range of mathematical problems encountered in the finance industry.
Описание: Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance.
Автор: Bergomi Название: Stochastic Volatility Modeling ISBN: 1482244063 ISBN-13(EAN): 9781482244069 Издательство: Taylor&Francis Рейтинг: Цена: 13473.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:
Which trading issues do we tackle with stochastic volatility?
How do we design models and assess their relevance?
How do we tell which models are usable and when does calibration make sense?
This manual covers the practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course of this exploration, the author, Risk's 2009 Quant of the Year and a leading contributor to volatility modeling, draws on his experience as head quant in Soci t G n rale's equity derivatives division. Clear and straightforward, the book takes readers through various modeling challenges, all originating in actual trading/hedging issues, with a focus on the practical consequences of modeling choices.
Автор: Capinski Название: Mathematics for Finance ISBN: 0857290819 ISBN-13(EAN): 9780857290816 Издательство: Springer Рейтинг: Цена: 4884.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style.
Автор: Chambers Название: Revealed Preference Theory ISBN: 1107458110 ISBN-13(EAN): 9781107458116 Издательство: Cambridge Academ Рейтинг: Цена: 4435.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory of revealed preference has a long, distinguished tradition in economics but lacked a systematic presentation of the theory until now. This book deals with basic questions in economic theory and studies situations in which empirical observations are consistent or inconsistent with some of the best known economic theories.
Автор: Zhiqiang Zhang Название: Finance – Fundamental Problems and Solutions ISBN: 3642305113 ISBN-13(EAN): 9783642305115 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book probes problems in finance: a logic dilemma in stock valuation models, risk valuation and optimal capital structure. Without advanced mathematics, the book offers logic and quantitative reasoning that is sound in theory and feasible in practice.
Автор: Christopher Diaz Название: Database Security: Problems and Solutions ISBN: 1683926633 ISBN-13(EAN): 9781683926634 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8316.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a broad look at the meaning and understanding of diversity and inclusion in organisations. Contributors look toward the future of D&I in organisations and the scholarship of these phenomena. This future focus references not only the content of the chapters but also to the contributors, emerging scholars who are the future of the field.
Автор: Guilhon Название: Venture Capital and the Financing of Innovation ISBN: 1786300699 ISBN-13(EAN): 9781786300690 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Поставка под заказ.
Описание:
The funding of innovative projects that are fundamentally ambiguous often leads to situations where decision-making is difficult. However, decision-making can be improved by practices such as syndication and step-by-step funding. The dynamic of this industry requires us to consider the economic and institutional variables that make this system coherent in English-speaking countries, but conversely reduce it to a privileged niche by the leading authorities in Europe and France.
This book proposes two guiding ideas. The first idea presents innovation as a very uncertain process. This modifies the decision-making in the entrepreneurial ecosystem, with intervention upstream in regards to stronger foundations, evaluations and selection of projects. The second idea is that the actors hold onto partial knowledge in a context where their attention span is limited. These cognitive limitations need the formation of networks, and lead to mutual and complementary dependency relations.
The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.
Автор: Guangxi Yu, Hao Ni, Jinsong Zheng, Xin Dong Название: An introduction to machine learning in quantitative finance ISBN: 1786349647 ISBN-13(EAN): 9781786349644 Издательство: World Scientific Publishing Рейтинг: Цена: 7128.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In today`s world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation.
Автор: David C. M. Dickson, Mary R. Hardy, Howard R. Waters Название: Solutions Manual for Actuarial Mathematics for Life Contingent Risks ISBN: 1108747612 ISBN-13(EAN): 9781108747615 Издательство: Cambridge Academ Рейтинг: Цена: 6653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This must-have manual provides solutions to all exercises in the Third Edition of the authors` groundbreaking text, which is required reading for the Society of Actuaries` (SOA) LTAM Exam. Over 300 solutions give insight as well as exam preparation. Companion spreadsheets are freely available online.
Автор: Dmitrii Silvestrov; Anders Martin-L?f Название: Modern Problems in Insurance Mathematics ISBN: 3319066528 ISBN-13(EAN): 9783319066523 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is a compilation of 21 papers presented at the International Cram r Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications.
The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems in life and non-life insurance and related topics in applied and financial mathematics.
The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers, research students and experts from the insurance business. In this way, Modern Problems in Insurance Mathematics will contribute to the development of research and academy-industry co-operation in the area of insurance mathematics and its applications.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
