Handbook of Alternative Data in Finance, Volume I PDF Download

Author: Gautam Mitra
Publisher: CRC Press
ISBN: 1000897915
Category : Business & Economics
Languages : en
Pages : 478

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Book Description
Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners

Author: Gautam Mitra
Publisher: C&h/CRC Press
ISBN: 9781032276700
Category : Finance
Languages : en
Pages : 0

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Book Description
"Handbook of Alternative Data in Finance, Volume I Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners"--

Author: Alexander Denev
Publisher: John Wiley & Sons
ISBN: 1119601797
Category : Business & Economics
Languages : en
Pages : 416

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Book Description
The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Author: Mark J. P. Anson
Publisher: John Wiley & Sons
ISBN: 9780470089224
Category : Business & Economics
Languages : en
Pages : 720

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Book Description
Since the first edition of the Handbook of Alternative Assets was published, significant events-from the popping of the technology bubble and massive accounting scandals to recessions and bear markets-have shifted the financial landscape. These changes have provided author Mark J. P. Anson with an excellent opportunity to examine alternative assets during a different part of the economic cycle than previously observed in the first edition. Fully revised and updated to reflect today's financial realities, the Handbook of Alternative Assets, Second Edition covers the five major classes of alternative assets-hedge funds, commodity and managed futures, private equity, credit derivatives, and corporate governance-and outlines the strategies you can use to efficiently incorporate these assets into any portfolio. Throughout the book, new chapters have been added, different data sources accessed, and new conclusions reached. Designed as both an introduction to the world of alternative assets and as a reference for the active investor, the Handbook of Alternative Assets, Second Edition will help you match alternative assets with your various investment goals.

Author: Frederi G. Viens
Publisher: John Wiley & Sons
ISBN: 1118204565
Category : Business & Economics
Languages : en
Pages : 456

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Book Description
CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.

Author: Franklin Allen
Publisher:
ISBN: 9781800370487
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
Promoting a comparative perspective, this comprehensive Research Handbook aids in the understanding of alternative finance and its values in a global setting. Readers are encouraged to view alternative finance through the lens of economic mechanisms rather than terminology. Providing a holistic review of alternative finance, this timely Research Handbook emphasizes the development dynamics between financial practices and industry, financial structures, economic considerations and technology development. Chapters examine each individual type of alternative finance and explain their network advantages, such as their responsiveness to cultural structures and business conditions, bringing to light how significant modern developments like technological advancements may lead to dramatic changes in financial systems. Ultimately, they expand on the great variation of alternative financial practices worldwide. Balancing theory, practice and policy considerations, this Research Handbook will be essential for academics and researchers pursuing the study of finance, banking, and international business. It will additionally be highly beneficial for policy makers involved in the development of financial systems and financial regulators.

Author: Larry Cao
Publisher: CFA Institute Research Foundation
ISBN: 195292734X
Category : Business & Economics
Languages : en
Pages : 258

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Book Description
Artificial intelligence (AI) and big data have their thumbprints all over the modern asset management firm. Like detectives investigating a crime, the practitioner contributors to this book put the latest data science techniques under the microscope. And like any good detective story, much of what is unveiled is at the same time surprising and hiding in plain sight. Each chapter takes you on a well-guided tour of the development and application of specific AI and big data techniques and brings you up to the minute on how they are being used by asset managers. Given the diverse backgrounds and affiliations of our authors, this book is the perfect companion to start, refine, or plan the next phase of your data science journey.

Author: Maurizio Pompella
Publisher: Springer Nature
ISBN: 3030664333
Category : Business & Economics
Languages : en
Pages : 540

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Book Description
Financial services technology and its effect on the field of finance and banking has been of major importance within the last few years. The spread of these so-called disruptive technologies, including Blockchain, has radically changed financial markets and transformed the operation of the industry as a whole. This is the first multidisciplinary handbook of FinTech and Blockchain covering finance, economics, and legal aspects globally. With comprehensive coverage of the current landscape of financial technology alongside a forward-looking approach, the chapters are devoted to the spread of structured finance, ICT, distributed ledger technology (DLT), cybersecurity, data protection, artificial intelligence, and cryptocurrencies. Given an unprecedented 2020, the contributions also address the consequences of the current emergency, and the pandemic stroke, which is revolutionizing social and economic paradigms and heavily affecting Fintech, Blockchain, and the banking sector as well, and would be of particular interest to finance academics and researchers alongside banking and financial services professionals.

Author: Raghavendra Rau
Publisher: Springer Nature
ISBN: 3030651177
Category : Business & Economics
Languages : en
Pages : 888

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Book Description
This handbook provides the first comprehensive overview of the fast-evolving alternative finance space and makes a timely and in-depth contribution to the literature in this area. Bringing together expert contributions in the field from both practitioners and academics, in one of the most dynamic parts of the financial sector, it provides a solid reference for this exciting discipline. Divided into six parts, Section 1 presents a high-level overview of the technologically-enabled finance space. It also offers a historical perspective on technological finance models and outlines different business models. Section 2 analyses digital currencies including guides to bitcoins, other cryptocurrencies, and blockchains. Section 3 addresses alternative payment systems such as digital money and asset tokenization. Section 4 deals with crowdfunding models from both a theoretical perspective and from a regulatory perspective. Section 5 discusses data-driven business models and includes a discussion of neural networks and deep learning. Finally, Section 6 discusses welfare implications of the technological finance revolution. This collection highlights the most current developments to date and the state-of-the-art in alternative finance, while also indicating areas of further potential. Acting as a roadmap for future research in this innovative and promising area of finance, this handbook is a solid reference work for academics and students whilst also appealing to industry practitioners, businesses and policy-makers.

Author: Justin B. Bullock
Publisher: Oxford University Press
ISBN: 0197579329
Category : Business & Economics
Languages : en
Pages : 1097

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Book Description
"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--