Proceedings of the First International Forum on Financial Mathematics and Financial Technology, Zheng Zhiyong

Автор: Zheng Zhiyong
Название: Proceedings of the First International Forum on Financial Mathematics and Financial Technology
ISBN: 9811583722 ISBN-13(EAN): 9789811583728
Издательство: Springer
Цена: 204970.00 T
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Описание: This book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology.

Автор: Luderer Bernd
Название: Classical Financial Mathematics: Basic Ideas, Central Formulas and Terms at a Glance
ISBN: 3658320370 ISBN-13(EAN): 9783658320379
Издательство: Springer
Цена: 23280.00 T
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Описание: Since classical financial mathematics makes do with elementary mathematical tools, any interested reader with average mathematical school knowledge can easily follow this text.

Автор: Capi?ski
Название: Discrete Models of Financial Markets
ISBN: 0521175720 ISBN-13(EAN): 9780521175722
Издательство: Cambridge Academ
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Цена: 40130.00 T
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Описание: This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. All proofs are written in a user-friendly, step-by-step manner and following a natural flow of thought. In this way the student learns how to tackle new problems.

Автор: Campolieti
Название: Financial Mathematics
ISBN: 1439892423 ISBN-13(EAN): 9781439892428
Издательство: Taylor&Francis
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Цена: 112290.00 T
Наличие на складе: Нет в наличии.
Описание: Versatile for Several Interrelated Courses at the Undergraduate and Graduate Levels Financial Mathematics: A Comprehensive Treatment provides a unified, self-contained account of the main theory and application of methods behind modern-day financial mathematics. Tested and refined through years of the authors’ teaching experiences, the book encompasses a breadth of topics, from introductory to more advanced ones. Accessible to undergraduate students in mathematics, finance, actuarial science, economics, and related quantitative areas, much of the text covers essential material for core curriculum courses on financial mathematics. Some of the more advanced topics, such as formal derivative pricing theory, stochastic calculus, Monte Carlo simulation, and numerical methods, can be used in courses at the graduate level. Researchers and practitioners in quantitative finance will also benefit from the combination of analytical and numerical methods for solving various derivative pricing problems. With an abundance of examples, problems, and fully worked out solutions, the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. Unlike similar texts in the field, this one presents multiple problem-solving approaches, linking related comprehensive techniques for pricing different types of financial derivatives. The book provides complete coverage of both discrete- and continuous-time financial models that form the cornerstones of financial derivative pricing theory. It also presents a self-contained introduction to stochastic calculus and martingale theory, which are key fundamental elements in quantitative finance.

Автор: Ruttiens Alain
Название: Mathematics of the Financial Markets
ISBN: 1118513452 ISBN-13(EAN): 9781118513453
Издательство: Wiley
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Цена: 63360.00 T
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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: Ali Hirsa
Название: An Introduction to the Mathematics of Financial Derivatives,
ISBN: 012384682X ISBN-13(EAN): 9780123846822
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: A text that eases the transition between basic summaries of financial engineering to more advanced treatments using stochastic calculus. Requiring a basic knowledge of calculus and probability, it takes readers on a tour of advanced financial engineering. It encourages use of discrete chapters as complementary readings on different topics.

Автор: Tretyakov M V
Название: Introductory Course on Financial Mathematics
ISBN: 1908977388 ISBN-13(EAN): 9781908977380
Издательство: World Scientific Publishing
Цена: 50690.00 T
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Описание: This book is an elementary introduction to the basic concepts of financial mathematics with a central focus on discrete models and an aim to demonstrate simple, but widely used, financial derivatives for managing market risks. Only a basic knowledge of probability, real analysis, ordinary differential equations, linear algebra and some common sense are required to understand the concepts considered in this book.Financial mathematics is an application of advanced mathematical and statistical methods to financial management and markets, with a main objective of quantifying and hedging risks. Since the book aims to present the basics of financial mathematics to the reader, only essential elements of probability and stochastic analysis are given to explain ideas concerning derivative pricing and hedging. To keep the reader intrigued and motivated, the book has a 'sandwich' structure: probability and stochastics are given in situ where mathematics can be readily illustrated by application to finance.The first part of the book introduces one of the main principles in finance -- 'no arbitrage pricing'. It also introduces main financial instruments such as forward and futures contracts, bonds and swaps, and options. The second part deals with pricing and hedging of European- and American-type options in the discrete-time setting. In addition, the concept of complete and incomplete markets is discussed. Elementary probability is briefly revised and discrete-time discrete-space stochastic processes used in financial modelling are considered. The third part introduces the Wiener process, Ito integrals and stochastic differential equations, but its main focus is the famous Black-Scholes formula for pricing European options. Some guidance for further study within this exciting and rapidly changing field is given in the concluding chapter. There are approximately 100 exercises interspersed throughout the book, and solutions for most problems are provided in the appendices.

Автор: Miller Michael B
Название: Mathematics and Statistics for Financial Risk Management
ISBN: 1118750292 ISBN-13(EAN): 9781118750292
Издательство: Wiley
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Цена: 88710.00 T
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Описание: Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics.

Автор: Ravindran Kannoo
Название: Mathematics of Financial Models + Website
ISBN: 1118004612 ISBN-13(EAN): 9781118004616
Издательство: Wiley
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Цена: 79200.00 T
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Описание: Learn how quantitative models can help fight client problems head-on Before financial problems can be solved, they need to be fully understood.

Автор: Prakash Arun J., Ghosh Dilip K.
Название: Financial, Commercial, and Mortgage Mathematics and Their Applications, Revised and Updated Edition
ISBN: 1440830932 ISBN-13(EAN): 9781440830938
Издательство: Bloomsbury
Цена: 84150.00 T
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Описание: Ideal for college students in intermediate finance courses, this book uniquely applies mathematical formulas to teach the underpinnings of financial and lending decisions, covering common applications in real estate, capital budgeting, and commercial loans.

Автор: Peter M. Knopf
Название: Risk Neutral Pricing and Financial Mathematics: A Primer,
ISBN: 0128015349 ISBN-13(EAN): 9780128015346
Издательство: Elsevier Science
Рейтинг:
Цена: 57250.00 T
Наличие на складе: Невозможна поставка.
Описание:

Risk Neutral Pricing and Financial Mathematics: A Primer provides a foundation to financial mathematics for those whose undergraduate quantitative preparation does not extend beyond calculus, statistics, and linear math. It covers a broad range of foundation topics related to financial modeling, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option pricing, and term structure models, along with related valuation and hedging techniques. The joint effort of two authors with a combined 70 years of academic and practitioner experience, Risk Neutral Pricing and Financial Mathematics takes a reader from learning the basics of beginning probability, with a refresher on differential calculus, all the way to Doob-Meyer, Ito, Girsanov, and SDEs. It can also serve as a useful resource for actuaries preparing for Exams FM and MFE (Society of Actuaries) and Exams 2 and 3F (Casualty Actuarial Society).

Автор: Dmitrii S. Silvestrov
Название: American-Type Options: Stochastic Approximation Methods, Volume 2
ISBN: 3110329689 ISBN-13(EAN): 9783110329681
Издательство: Walter de Gruyter
Цена: 173490.00 T
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Описание: The book gives a systematical presentation of stochastic approximation methods for discrete time Markov price processes. Advanced methods combining backward recurrence algorithms for computing of option rewards and general results on convergence of stochastic space skeleton and tree approximations for option rewards are applied to a variety of models of multivariate modulated Markov price processes. The principal novelty of presented results is based on consideration of multivariate modulated Markov price processes and general pay-off functions, which can depend not only on price but also an additional stochastic modulating index component, and use of minimal conditions of smoothness for transition probabilities and pay-off functions, compactness conditions for log-price processes and rate of growth conditions for pay-off functions. The volume presents results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressive and continuous time models, as well as results of the corresponding experimental studies.