Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not."
Автор: Monique Jeanblanc, Marc Yor, Marc Chesney Название: Mathematical Methods for Financial Markets ISBN: 1852333766 ISBN-13(EAN): 9781852333768 Издательство: Springer Рейтинг: Цена: 8804.00 р. 12577.00-30% Наличие на складе: Есть (1 шт.) Описание: Presents stochastic processes of common use in mathematical finance. This book consists of eleven chapters, interlacing on the one hand financial concepts and instruments, Brownian motion, diffusion processes, Levy processes, together with the basic properties of these processes. It deals with continuous path processes and discontinuous processes.
Автор: Ruttiens Alain Название: Mathematics of the Financial Markets ISBN: 1118513452 ISBN-13(EAN): 9781118513453 Издательство: Wiley Рейтинг: Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book aims to prioritise what needs mastering and presentsthe content in the most understandable, concise and pedagogical wayillustrated by real market examples. Given the variety and thecomplexity of the materials the book covers, the author sortsthrough a vast array of topics in a subjective way, relying uponmore than twenty years of experience as a market practitioner. Thebook only requires the reader to be knowledgeable in the basics ofalgebra and statistics.
The Mathematical formulae are only fully proven when the proofbrings some useful insight. These formulae are translated fromalgebra into plain English to aid understanding as the vastmajority of practitioners involved in the financial markets are notrequired to compute or calculate prices or sensitivities themselvesas they have access to data providers. Thus, the intention of thisbook is for the practitioner to gain a deeper understanding ofthese calculations, both for a safety reason - it is betterto understand what is behind the data we manipulate - andsecondly being able to appreciate the magnitude of the prices weare confronted with and being able to draft a rough calculation, aside of the market data.
The author has avoided excessive formalism where possible.Formalism is securing the outputs of research, but may, in othercircumstances, burden the understanding by non-mathematicians; anexample of this case is in the chapter dedicated to the basis ofstochastic calculus.
The book is divided into two parts:
First, the deterministic world, starting from the yield curvebuilding and related calculations (spot rates, forward rates, discrete versus continuous compounding, etc.), and continuing withspot instruments valuation (short term rates, bonds, currencies andstocks) and forward instruments valuation (forward forex, FRAs andvariants, swaps & futures);
Second, the probabilistic world, starting with the basis ofstochastic calculus and the alternative approach of ARMA to GARCH, and continuing with derivative pricing: options, second generationoptions, volatility, credit derivatives;
This second part is completed by a chapter dedicated to marketperformance & risk measures, and a chapter widening the scopeof quantitative models beyond the Gaussian hypothesis andevidencing the potential troubles linked to derivative pricingmodels.
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.
Автор: Campbell, John W. Название: The econometrics of financial markets ISBN: 0691043019 ISBN-13(EAN): 9780691043012 Издательство: Wiley Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the spectrum of empirical finance, including the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, and the term structure of interest rates, dynamic models of economic equilibrium.
Описание: Financial Markets Theory presents classical asset pricing theory, a theory composed of milestones such as portfolio selection, risk aversion, fundamental asset pricing theorem, portfolio frontier, CAPM, CCAPM, APT, the Modigliani-Miller Theorem, no arbitrage/risk neutral evaluation and information in financial markets. Starting from an analysis of the empirical tests of the above theories, the author provides a discussion of the most recent literature, pointing out the main advancements within classical asset pricing theory and the new approaches designed to address open problems (e.g. behavioural finance). It is the only textbook to address the economic foundations of financial markets theory from a mathematically rigorous standpoint, and to offer a self-contained critical discussion, based on empirical results. Financial Markets Theory is an advanced book, well-suited for a first graduate course in financial markets, economics or financial mathematics. It is self-contained and introduces topics in a setting accessible to economists and practitioners equipped with a basic mathematical background. For those not acquainted with standard microeconomic theory, the tools needed to follow the analysis are presented early in the book. The approach makes this a vital handbook for practitioners in insurance, banking, investment funds and financial consultancy, as well as an excellent graduate-reference textbook.
Автор: Kroszner Randall S Название: Reforming U.S. Financial Markets ISBN: 0262518732 ISBN-13(EAN): 9780262518734 Издательство: MIT Press Рейтинг: Цена: 1825.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two top economists outline distinctive approaches to post-crisis financial reform.
Автор: Franke Название: Statistics of Financial Markets ISBN: 3540216758 ISBN-13(EAN): 9783540216759 Издательство: Springer Цена: 8378.00 р. Наличие на складе: Поставка под заказ.
Автор: Kroszner Randall S Название: Reforming U.S. Financial Markets ISBN: 0262015455 ISBN-13(EAN): 9780262015455 Издательство: MIT Press Рейтинг: Цена: 923.00 р. Наличие на складе: Нет в наличии.
Описание: In J. S. Bach at His Royal Instrument, author Russell Stinson delves into various unexplored aspects of the organ works of Johann Sebastian Bach. Drawing on previous research and new archival sources, he sheds light on many of the most mysterious aspects of these masterpieces, and their reception, and shows how they have remained a fixture of Western culture for nearly three hundred years.
Автор: Cont, Tankov Название: Financial modelling with jump processes ISBN: 1584884134 ISBN-13(EAN): 9781584884132 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 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.
Автор: Franke Название: Statistics of Financial Markets, 3 ed. ISBN: 3642165206 ISBN-13(EAN): 9783642165207 Издательство: Springer Рейтинг: Цена: 10475.00 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.”
The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash.
Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050.
Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe.
Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.
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