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Author: Tamer Khraisha
Publisher: "O'Reilly Media, Inc."
ISBN: 1098159950
Category : Computers
Languages : en
Pages : 531
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Book Description
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.
Author: Tamer Khraisha
Publisher: "O'Reilly Media, Inc."
ISBN: 1098159950
Category : Computers
Languages : en
Pages : 531
Get Book Here
Book Description
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.
Author: Nadia Mansour
Publisher: Springer Nature
ISBN: 303127296X
Category : Business & Economics
Languages : en
Pages : 799
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Book Description
This book focuses on understanding Innovation in the Financial Services Sector. The collection of contributions gathered in the book highlights the importance of technology contexts that pertain to Finance, accounting, and the law arena. The respective chapters address topics such as Economic development, social entrepreneurship, Online Behaviour, Digital entrepreneurship, and Islamic banks. All contributions are based on the latest empirical and theoretical research and provide key findings and concrete recommendations for scholars, entrepreneurs, organizations, and policymakers.
Author: Ashwin Rao
Publisher: CRC Press
ISBN: 1000801055
Category : Mathematics
Languages : en
Pages : 522
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Book Description
Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump right in, because Reinforcement Learning appears to have acquired a reputation for being mysterious and technically challenging. This book strives to impart a lucid and insightful understanding of the topic by emphasizing the foundational mathematics and implementing models and algorithms in well-designed Python code, along with robust coverage of several financial trading problems that can be solved with Reinforcement Learning. This book has been created after years of iterative experimentation on the pedagogy of these topics while being taught to university students as well as industry practitioners. Features Focus on the foundational theory underpinning Reinforcement Learning and software design of the corresponding models and algorithms Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or data scientists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding To access the code base for this book, please go to: https://github.com/TikhonJelvis/RL-book.
Author: Abdol S. Soofi
Publisher: Springer Science & Business Media
ISBN: 1461509319
Category : Business & Economics
Languages : en
Pages : 496
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Book Description
Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.
Author: Füllbrunn, Sascha
Publisher: Edward Elgar Publishing
ISBN: 1800372337
Category : Business & Economics
Languages : en
Pages : 451
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Book Description
With an in-depth overview of the past, present and future of the field, The Handbook of Experimental Finance provides a comprehensive analysis of the current topics, methodologies, findings, and breakthroughs in research conducted with the help of experimental finance methodology. Leading experts suggest innovative ways of designing, implementing, analyzing, and interpreting finance experiments.
Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
ISBN: 0470407352
Category : Business & Economics
Languages : en
Pages : 832
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Book Description
FINANCE Financial managers and investment professionals need a solid foundation in finance principles and applications in order to make the best decisions in today's ever-changing financial world. Written by the experienced author team of Frank Fabozzi and Pamela Peterson Drake, Finance examines the essential elements of this discipline and makes them understandable to a wide array of individuals, from seasoned professionals looking to fine-tune their financial skills to newcomers seeking genuine guidance through the dynamic world of finance. Divided into four comprehensive parts, this reliable resource opens with an informative introduction to the basic tools of investing and financing decision-making financial mathematics and financial analysis (Part I). From here, you'll become familiar with the fundamentals of capital market theory, including financial markets, financial intermediaries, and regulators of financial activities (Part II). You'll also gain a better understanding of interest rates, bond and stock valuation, asset pricing theory, and derivative instruments in this section. Part III moves on to detail decision-making within a business enterprise. Topics touched upon here include capital budgeting that is, whether or not to invest in specific long-lived projects and capital structure. Management of current assets and risk management are also addressed. By covering the basics of investment decision-making, Part IV skillfully wraps up this accessible overview of finance. Beginning with the determination of an investment objective, this part proceeds to demonstrate portfolio theory and performance evaluation, and also takes the time to outline techniques for managing equity and bond portfolios as well as discuss the best ways to use derivatives in the portfolio management process. Filled with in-depth insights and practical advice, Finance puts this field in perspective. And while a lot of ground is covered in this book, this information will help you appreciate and understand the complex financial issues that today's companies and investors constantly face.
Author: Roy S. Freedman
Publisher: Elsevier
ISBN: 0080461840
Category : Business & Economics
Languages : en
Pages : 365
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Book Description
The financial technology environment is a dynamic, high-pressured, fast-paced world in which developing fast and efficient buy-and-sell order processing systems and order executing (clearing and settling) systems is of primary importance. The orders involved come from an ever-changing network of people (traders, brokers, market makers) and technology. To prepare people to succeed in this environment, seasoned financial technology veteran Roy Freedman presents both the technology and the finance side in this comprehensive overview of this dynamic area. He covers the broad range of topics involved in this industry--including auction theory, databases, networked computer clusters, back-office operations, derivative securities, regulation, compliance, bootstrap statistics, optimization, and risk management—in order to present an in-depth treatment of the current state-of-the-art in financial technology. Each chapter concludes with a list of exercises; a list of references; a list of websites for further information; and case studies. - With amazing clarity, Freedman explains both the technology side and the finance side of financial technology - Accessible to both finance professionals needing to upgrade their technology knowledge and technology specialists needing to upgrade their finance knowledge
Author: Nico van der Wijst
Publisher: Cambridge University Press
ISBN: 1107029228
Category : Business & Economics
Languages : en
Pages : 449
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Book Description
An introduction to modern finance designed for students with strong quantitative skills.
Author: René Carmona
Publisher: Springer Science & Business Media
ISBN: 3642257461
Category : Mathematics
Languages : en
Pages : 478
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Book Description
Numerical methods in finance have emerged as a vital field at the crossroads of probability theory, finance and numerical analysis. Based on presentations given at the workshop Numerical Methods in Finance held at the INRIA Bordeaux (France) on June 1-2, 2010, this book provides an overview of the major new advances in the numerical treatment of instruments with American exercises. Naturally it covers the most recent research on the mathematical theory and the practical applications of optimal stopping problems as they relate to financial applications. By extension, it also provides an original treatment of Monte Carlo methods for the recursive computation of conditional expectations and solutions of BSDEs and generalized multiple optimal stopping problems and their applications to the valuation of energy derivatives and assets. The articles were carefully written in a pedagogical style and a reasonably self-contained manner. The book is geared toward quantitative analysts, probabilists, and applied mathematicians interested in financial applications.
Author: Cheng-Few Lee
Publisher: Springer Nature
ISBN: 3030912310
Category : Business & Economics
Languages : en
Pages : 2746
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Book Description
The Encyclopedia of Finance comprehensively covers the broad spectrum of terms and topics relating finance from asset pricing models to option pricing models to risk management and beyond. This third edition is comprised of over 1,300 individual definitions, chapters, appendices and is the most comprehensive and up-to-date resource in the field, integrating the most current terminology, research, theory, and practical applications. It includes 200 new terms and essays; 25 new chapters and four new appendices. Showcasing contributions from an international array of experts, the revised edition of this major reference work is unparalleled in the breadth and depth of its coverage.
