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AI for Finance, Tsang, Edward P. K.



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Цена: 3338р.
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Автор: Tsang, Edward P. K.   (Эдвард Цан)
Название:  AI for Finance
Перевод названия: Эдвард Цан: Применение искусственного интеллекта в финансах
ISBN: 9781032384436
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1032384433
Обложка/Формат: Paperback
Страницы: 106
Вес: 0.23 кг.
Дата издания: 02.06.2023
Серия: Ai for everything
Иллюстрации: 5 line drawings, black and white; 1 halftones, black and white; 6 illustrations, black and white
Размер: 127 x 197 x 9
Читательская аудитория: Tertiary education (us: college)
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All the Math You Missed

Автор: Thomas A. Garrity
Название: All the Math You Missed
ISBN: 1009009192 ISBN-13(EAN): 9781009009195
Издательство: Cambridge Academ
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Цена: 3800 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The second edition of this bestselling book provides an overview of the key topics in undergraduate mathematics, allowing beginning graduate students to fill in any gaps in their knowledge. With numerous examples, exercises and suggestions for further reading, it is a must-have for anyone looking to learn some serious mathematics quickly.

Data analysis for business, economics, and policy

Автор: Bekes, Gabor Kezdi, Gabor (university Of Michigan,
Название: Data analysis for business, economics, and policy
ISBN: 1108716202 ISBN-13(EAN): 9781108716208
Издательство: Cambridge Academ
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Цена: 7918 р.
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Описание: Equips future data analysts with the skills they need to answer questions in business, economics, and public policy. Covering methods of exploratory, predictive, and causal analysis, it includes case studies that use real-world data and related data exercises supported by code (Stata, R, Python) and data available online.

Credit-Risk Modelling/Книга: Дэвид Джеймисон Болдер  Моделирование кредитного риска

Автор: David Jamieson Bolder
Название: Credit-Risk Modelling/Книга: Дэвид Джеймисон Болдер Моделирование кредитного риска
ISBN: 3030069001 ISBN-13(EAN): 9783030069001
Издательство: Springer
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Цена: 8257 р.
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Описание: The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

Quantitative Trading

Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong
Название: Quantitative Trading
ISBN: 0367871815 ISBN-13(EAN): 9780367871819
Издательство: Taylor&Francis
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Цена: 8565 р.
Наличие на складе: Нет в наличии.

Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove

Concepts and practice of mathematical finance

Автор: Joshi, Mark S.
Название: Concepts and practice of mathematical finance
ISBN: 0521514088 ISBN-13(EAN): 9780521514088
Издательство: Cambridge Academ
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Цена: 10611 р.
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Описание: The second edition of a successful text providing the working knowledge needed to become a good quantitative analyst. An ideal introduction to mathematical finance, readers will gain a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice.

Global Business Leadership Development for the Fourth Industrial Revolution

Автор: Peter Smith, Tom Cockburn
Название: Global Business Leadership Development for the Fourth Industrial Revolution
ISBN: 1799848612 ISBN-13(EAN): 9781799848615
Издательство: Eurospan
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Цена: 31682 р.
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Описание: As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices.

Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments.

Business Process Management

Автор: Jeston, John||
Название: Business Process Management
ISBN: 1138738409 ISBN-13(EAN): 9781138738409
Издательство: Taylor&Francis
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Цена: 4752 р.
Наличие на складе: Нет в наличии.

Описание: Business Process Management, a huge bestseller, has helped thousands of leaders and BPM practitioners successfully implement BPM projects, enabling them to add measurable value to their organizations. The book’s runaway success can be attributed partly to its overview of all major useful frameworks (such as LEAN and Six Sigma) without over-investment in one over another, and a unique emphasis on BPM’s interrelationship with organizational management, culture and leadership. Its common-sense approach teaches how BPM must be well-integrated across an entire business if it’s to be successful: augmented and aligned with other management disciplines. This highly anticipated fourth edition brings Jeston’s practicable frameworks and solutions up to date with the latest developments in BPM, including the robotics process automation, digital strategies and the changes necessary as a result of the impact of the quad generations in the workforce. This thoroughly revised and updated new edition includes: Enhanced BPM House noting the importance of traceability from strategy to execution activities New and revised case studies An analysis of the risks and benefits of robotic automation and cognitive computing. The book highlights that millennials will be 50% of the global workforce in 2020 and 67% by 2025—Jeston warns managers to ignore them at your peril. Business processes and the way work is performed must evolve! This book will prove to be an indispensable guide to any senior business executive or chief financial officer while providing practical BPM examples to undergraduate and postgraduate students alike.

Artificial economics :

Автор: Mercado, P. Ruben,
Название: Artificial economics :
ISBN: 1009005758 ISBN-13(EAN): 9781009005753
Издательство: Cambridge Academ
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Цена: 4909 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An introductory overview of the methods, models and interdisciplinary links of artificial economics. Addresses the differences between the assumptions and methods of artificial economics and those of mainstream economics. This is one of the first books to fully address, in an intuitive and conceptual form, this new way of doing economics.

Machine learning in finance

Автор: Dixon, Matthew F. Halperin, Igor Bilokon, Paul
Название: Machine learning in finance
ISBN: 3030410676 ISBN-13(EAN): 9783030410674
Издательство: Springer
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Цена: 11179 р.
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Описание: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry.

This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective.

The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management.

Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Revealed Preference Theory

Автор: Chambers
Название: Revealed Preference Theory
ISBN: 1107458110 ISBN-13(EAN): 9781107458116
Издательство: Cambridge Academ
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Цена: 4275 р.
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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: Giuseppe Arbia, Giuseppe Espa, Diego Giuliani
Название: Spatial Microeconometrics
ISBN: 1138833746 ISBN-13(EAN): 9781138833746
Издательство: Taylor&Francis
Рейтинг:
Цена: 17424 р.
Наличие на складе: Нет в наличии.

Описание: This book is an advanced textbook for researchers and graduate students in the fields of economic geography, regional science, spatial econometrics and urban economics. It introduces the reader to the concepts of spatial statistics, spatial econometrics and spatial behavior of economics agents at the microeconomic level.

Algorithmic Trading & Quantitative

Автор: Velu
Название: Algorithmic Trading & Quantitative
ISBN: 1498737161 ISBN-13(EAN): 9781498737166
Издательство: Taylor&Francis
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Цена: 15246 р.
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Описание: Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies.


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