Автор: Thomas A. Garrity Название: All the Math You Missed ISBN: 1009009192 ISBN-13(EAN): 9781009009195 Издательство: Cambridge Academ Рейтинг: Цена: 26400.00 T 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.
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 Рейтинг: Цена: 52790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: David Jamieson Bolder Название: Credit-Risk Modelling/Книга: Дэвид Джеймисон Болдер Моделирование кредитного риска ISBN: 3030069001 ISBN-13(EAN): 9783030069001 Издательство: Springer Рейтинг: Цена: 55050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong Название: Quantitative Trading ISBN: 0367871815 ISBN-13(EAN): 9780367871819 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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
Автор: Joshi, Mark S. Название: Concepts and practice of mathematical finance ISBN: 0521514088 ISBN-13(EAN): 9780521514088 Издательство: Cambridge Academ Рейтинг: Цена: 73920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Ionut Florescu, Maria C. Mariani, H. Eugene Stanley, Frederi G. Viens Название: Handbook of High-Frequency Trading and Modeling in Finance ISBN: 1118443985 ISBN-13(EAN): 9781118443989 Издательство: Wiley Рейтинг: Цена: 138280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data.
Автор: Voula Gkatzidou, Joseph Giacomin, Lee Skrypchuk Название: Automotive Human Centred Design Methods ISBN: 3110677369 ISBN-13(EAN): 9783110677362 Издательство: Walter de Gruyter Рейтинг: Цена: 42090.00 T Наличие на складе: Нет в наличии. Описание: Human Centred Design?integrates multidisciplinary expertise towards enhancing human well-being and empowering people. In its most basic form it leads to products, systems and services which are physically, perceptually, cognitively and emotionally intuitive. In its most advanced form it discovers and unlocks latent needs and desires, supporting the achievement of desired futures for society. Automotive Human Centred Design Methods is a handbook of techniques aimed directly at designers, but which will hopefully be purchased also by engineers, marketers, branding experts and customer relations teams. The "value proposition" of the book is that it provides an easy introduction to the world of human centred design methods for those automotive sector experts who are currently being asked to widen their skill set. Most automotive sector businesses are currently forcing their staff to consider customer needs and desires as part of their day-to-day activity, i.e. the companies are telling staff that they cannot continue to concentrate only on matters of mathematics, statistics or creative?conception. The book is attempting to "ride the wave" of the current move?from "designed by experts" to " products for the people by the people". In summary, the core audience for the book?can be predicted to be designers. This book focuses on the methods that capture the visible and invisible information about customers, including data about their interactions with the motor vehicle, their behaviour towards certain components, and their beliefs and values toward the brand as a whole. An extensive literature review was performed by the authors to review all currently available human centred design methods. Search sources included both academic and non-academic databases. Over 600 methods were initially identified using the search terms, of which 327 were eligible, 270 were excluded because of duplication and 51 were collected and included in this book. A series of workshops with automotive designers was carried out to validate the method set collected. Jaguar Land Rover (JLR) is providing a formal corporate introduction which will discuss and support the need for human centred design in the automotive industry and will mention JLR's sponsorship of the AutoHabLab project, which lead to the?book. The introduction will state that the book represents an attempt at "cultural change" from a purely technical focus to a more?customer orientated focus. In addition, JLR images will be used as "section breaks" when passing from one type of information to another. Those images will include JLR products and brand priorities.
Автор: Chen, Jun Tsang, Edward P K Название: Detecting regime change in computational finance ISBN: 0367536285 ISBN-13(EAN): 9780367536282 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Невозможна поставка. Описание: Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, this book applies machine learning to financial market monitoring and algorithmic trading.
Автор: Dixon, Matthew F. Halperin, Igor Bilokon, Paul Название: Machine learning in finance ISBN: 3030410676 ISBN-13(EAN): 9783030410674 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Burfisher, Mary E. Название: Introduction to computable general equilibrium models 3rd edition ISBN: 1108748023 ISBN-13(EAN): 9781108748025 Издательство: Cambridge Academ Рейтинг: Цена: 54910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This intuitive, hands-on introduction to computable general equilibrium models (a tool used to support public policy making on issues including trade, climate change and taxation) will benefit students across a spectrum of economic studies, including international trade, environmental economics, macroeconomics, microeconomics, and public finance.
Автор: Cesarone, Francesco Название: Computational Finance : MATLAB® Oriented Modeling ISBN: 0367492938 ISBN-13(EAN): 9780367492939 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The theoretical aspects of the book are based on an essential introduction to the building blocks of the two topics under consideration: mathematical programming and stochastic processes. It also includes a primer on MATLAB, as a tool to help students, scholars and practitioners use the concepts in the book.
Автор: Peter Smith, Tom Cockburn Название: Global Business Leadership Development for the Fourth Industrial Revolution ISBN: 1799848612 ISBN-13(EAN): 9781799848615 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 194970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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