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Author: Alexander Denev Publisher: John Wiley & Sons ISBN: 1119601797 Category : Business & Economics Languages : en Pages : 416
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: Alexander Denev Publisher: John Wiley & Sons ISBN: 1119601797 Category : Business & Economics Languages : en Pages : 416
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: Gautam Mitra Publisher: CRC Press ISBN: 1000897915 Category : Business & Economics Languages : en Pages : 478
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
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: Mani Mahjouri Publisher: Wiley ISBN: 9781119465003 Category : Business & Economics Languages : en Pages : 0
Book Description
Shift the balance of power from company to investor through intensified use of data Alternative Data opens a gateway to the future of investing, using Open Halo technology to provide real-time performance analysis and breathtaking data visualization. Once solely available to the elites, this technology utilizes observational and transactional data covering vast numbers of stocks to analyze and forecast a company’s performance, often months ahead of any official announcement. This book shows you how to leverage this capability to make smarter investment decisions and predict market moves based on much more than conjecture. Imagine if you could access satellite imagery showing that a particular store’s parking lot was always full, correlated with credit card transactions showing a spike in sales, alongside social media analysis indicating an unprecedented rate of content generation from inside the store—what would you do with that information? A month later, when the company announces a breakthrough in sales, you’re ahead of the game. This granular level of analysis is set to become the de facto standard for smart investors, and now is a great time to start getting out in front of the pack. This book takes you inside the datasets and shows you how to turn them into profit. The companion website features interactive videos that reinforce major topics, giving you everything you need to start getting creative with data. Leverage Open Halo technology to visualize highly complex market phenomena Learn how to turn transactional and observational data into smart investing moves Get ahead of the curve by conducting a more granular analysis Forecast performance in real time with systematic evaluation of large swaths of stocks Today’s investors have access to data at an unprecedented scale; failing to leverage that data is like leaving money on the table. Alternative Data is your key guide for getting up and running with next-level visualizations that fuel smart decisions in any market.
Author: Matei Zatreanu Publisher: Wiley ISBN: 9781119429630 Category : Business & Economics Languages : en Pages : 0
Book Description
Implement a data-driven investment strategy The investing landscape is increasingly driven by big data and artificial intelligence. For most finance professionals, big data, statistics, and programming are outside their comfort zone. Yet, proficiency in these areas is becoming a prerequisite for successful investing. And while there are plenty of resources on these individual topics, what is missing is a framework for combining these disciplines for investment purposes. Data-Driven Investing shows readers how investment decisions can be made or improved through the use of alternative datasets and inference techniques. The author covers artificial intelligence algorithms, data visualization, and data sourcing to show how these components come together to form a more robust investment strategy. The goal is to help finance professionals prepare for an investing landscape increasingly driven by big data and artificial intelligence. Shows how investing wisdom can be harnessed through science and augmented by data Demonstrates how an augmented investing philosophy promises a deeper understanding of future economic performance Is essential reading for fund managers, research analysts, quantitative investors, data scientists, and general finance professionals Includes a companion website with code, data sets, and videos providing more in-depth information on augmented/data-driven investing This book comes at a time of increasing investor anxiety with lackluster hedge fund performance, which is causing many funds to explore data-driven investing as a possible evolution of their strategies.
Author: Apurv Jain Publisher: Academic Press ISBN: 0128191228 Category : Business & Economics Languages : en Pages : 250
Book Description
Macroeconomic Forecasting Using Alternative Data: Techniques for Applying Big Data and Machine Learning applies computer science to the demands of macroeconomic forecasting. It is the first book to combine machine learning methods with macroeconomics. By using artificial intelligence and machine learning techniques, it unlocks the increased forecasting accuracy offered by alternative data sources. Through its interdisciplinary approach, readers learn how to use big datasets efficiently and effectively. Combines big data/machine learning with macroeconomic forecasting Explains how alternative data improves forecasting accuracy when controlled for traditional data sources Provides new innovative methods for handling large databases and improving forecasting accuracy
Author: Montgomery Phister Publisher: Santa Monica, Calif. : Santa Monica Publishing Company ISBN: Category : Computer industry Languages : en Pages : 652
Author: Alexander Denev
Author: Alexander Denev
Author: Gautam Mitra
Author: Gautam Mitra
Author: Mani Mahjouri
Author: Matei Zatreanu
Author: 
Author: Apurv Jain
Author: Semiconductor Equipment and Materials Institute
Author: ASTM International
Author: Montgomery Phister