Cuemacro and alternative data
Cuemacro offers many services in alternative data space, including selling our own alternative data indices for macro markets as well as helping you to monetise your own alternative data. We can also provide bespoke consulting to help you incorporate alternative data into your investment process.
Why a book on alternative data?
Alternative data has become a key topic for investors over the years. Alexander Denev and Saeed Amen are currently working on an alternative data project to create a comprehensive introduction to the area for investors. Over the past few years we have worked on many different alternative datasets. The project was published by Wiley in summer 2020 as The Book of Alternative Data.
The Book of Alternative Data (Wiley) by Alexander Denev & Saeed Amen
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.
What’s it about?
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.
Creating a roadmap
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.
- 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
Who is it for?
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.
Where I can buy The Book of Alternative Data?
Want to know more about The Book of Alternative Data?
Errata for The Book of Alternative Data
In this errata_PDF, we have errata such as references which are missing from the published version, and we will continue to update this in the future.