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The Essentials of machine learning in finance and accounting, Mohammad Zoynul Abedin


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Цена: 5358.00р.
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Автор: Mohammad Zoynul Abedin
Название:  The Essentials of machine learning in finance and accounting
Перевод названия: Мохаммад Зойнул Абедин: Основы машинного обучения в финансах и бухгалтерском учете
ISBN: 9780367480813
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367480816
Обложка/Формат: Paperback
Страницы: 234
Вес: 0.48 кг.
Дата издания: 21.06.2021
Серия: Routledge advanced texts in economics and finance
Язык: English
Иллюстрации: 27 tables, black and white; 47 line drawings, black and white; 5 halftones, black and white; 52 illustrations, black and white
Размер: 24.38 x 17.53 x 1.52 cm
Читательская аудитория: Postgraduate, research & scholarly
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Поставляется из: Европейский союз
Описание: This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.


Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Problems and Solutions in Mathematical Finance: Volume I - Stochastic Calculus

Автор: Chin Eric, Olafsson Sverrir, Nel Dian
Название: Problems and Solutions in Mathematical Finance: Volume I - Stochastic Calculus
ISBN: 1119965837 ISBN-13(EAN): 9781119965831
Издательство: Wiley
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Цена: 6653.00 р.
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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.

Problems and Solutions in Mathematical Finance Vol. II: Equity Derivatives

Автор: Chin Eric, Olafsson Sverrir, Nel Dian
Название: Problems and Solutions in Mathematical Finance Vol. II: Equity Derivatives
ISBN: 1119965829 ISBN-13(EAN): 9781119965824
Издательство: Wiley
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Цена: 9979.00 р.
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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.

American-Type Options: Stochastic Approximation Methods, Volume 2

Автор: Dmitrii S. Silvestrov
Название: American-Type Options: Stochastic Approximation Methods, Volume 2
ISBN: 3110329689 ISBN-13(EAN): 9783110329681
Издательство: Walter de Gruyter
Цена: 26024.00 р.
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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.

Handbook in Monte Carlo Simulation

Автор: Brandimarte P
Название: Handbook in Monte Carlo Simulation
ISBN: 0470531118 ISBN-13(EAN): 9780470531112
Издательство: Wiley
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Цена: 20426.00 р.
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Описание: Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applications of Monte Carlo methods in financial engineering and economics.

Mathematics of Financial Models + Website

Автор: Ravindran Kannoo
Название: Mathematics of Financial Models + Website
ISBN: 1118004612 ISBN-13(EAN): 9781118004616
Издательство: Wiley
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Цена: 11880.00 р.
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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.

Mathematical Methods for Finance

Автор: Focardi Sergio M
Название: Mathematical Methods for Finance
ISBN: 1118312635 ISBN-13(EAN): 9781118312636
Издательство: Wiley
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Цена: 16632.00 р.
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Описание: The mathematical and statistical tools needed in the rapidly growing quantitative finance field With the rapid growth in quantitative finance, practitioners must achieve a high level of proficiency in math and statistics. Mathematical Methods and Statistical Tools for Finance, part of the Frank J.

Probability for Finance

Автор: Kopp
Название: Probability for Finance
ISBN: 0521175577 ISBN-13(EAN): 9780521175579
Издательство: Cambridge Academ
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Цена: 6019.00 р.
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Описание: Students and instructors alike will benefit from this rigorous, unfussy text. It keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence, conditioning and limit theorems for random sequences. Motivational examples, careful proofs and plenty of exercises facilitate self-study.

Mathematics and Statistics for Financial Risk Management

Автор: Miller Michael B
Название: Mathematics and Statistics for Financial Risk Management
ISBN: 1118750292 ISBN-13(EAN): 9781118750292
Издательство: Wiley
Рейтинг:
Цена: 13306.00 р.
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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.

An Introduction to Analysis of Financial Data with R

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 18683.00 р.
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.

Mathematics of the Financial Markets

Автор: Ruttiens Alain
Название: Mathematics of the Financial Markets
ISBN: 1118513452 ISBN-13(EAN): 9781118513453
Издательство: Wiley
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Цена: 9504.00 р.
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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.
Mathematics for economics and  finance: methods and modelling

Автор: Anthony, M, , Biggs N.
Название: Mathematics for economics and finance: methods and modelling
ISBN: 0521559138 ISBN-13(EAN): 9780521559133
Издательство: Cambridge Academ
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Цена: 7126.00 р.
Наличие на складе: Поставка под заказ.

Описание: An introduction to mathematical modelling in economics and finance for students of both economics and mathematics. Throughout, the stress is firmly on how the mathematics relates to economics, illustrated with copious examples and exercises that will foster depth of understanding.


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