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.


  • 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

chapter Chapter 1|28 pages

Alternative Data: Overview

ByGautam Mitra, Kieu Thi Hoang, Alexander Gladilin, Yuanqi Chu, Keith Black, Ganesh Mani

part I|42 pages

Alternative Data: Processing and Impact

chapter Chapter 3|24 pages

Global Economy and Markets Sentiment Model

ByJacob Gelfand, Kamilla Kasymova, M. O'Shea Seamus, Weijie Tan

part II|60 pages

Coupling Models with Alternative Data for Financial Analytics

chapter 72Chapter 4|28 pages

Enhanced Corporate Bond Yield Modeling Incorporating Macroeconomic News Sentiment

ByZhixin Cai, Christina Erlwein-Sayer, Gautam Mitra

chapter Chapter 5|30 pages

Artificial Intelligence, Machine Learning and Quantitative Models

ByGautam Mitra, Yuanqi Chu, Arkaja Chakraverty, Zryan Sadik

part III|114 pages

Handling Different Alternative Datasets

chapter 132Chapter 6|22 pages

Asset Allocation Strategies: Enhanced by Micro-Blog

ByZryan Sadik, Gautam Mitra, Shradha Berry, Diana Roman

chapter Chapter 7|26 pages

Asset Allocation Strategies: Enhanced by News

ByZryan Sadik, Gautam Mitra, Ziwen Tan, Christopher Kantos, Dan Joldzic

chapter Chapter 8|34 pages

Extracting Structured Datasets from Textual Sources – Some Examples

ByMatteo Campellone, Francesco Cricchio

chapter Chapter 9|14 pages

Comparative Analysis of NLP Approaches for Earnings Calls

ByChristopher Kantos, Dan Joldzic, Gautam Mitra, Kieu Thi Hoang

chapter Chapter 10|16 pages

Sensors Data

ByAlexander Gladilin, Kieu Thi Hoang, Gareth Williams, Zryan Sadik

part IV|170 pages

Alternative Data Use Cases in Finance

part IV.A|33 pages

Application in Trading and Fund Management (Finding New Alpha)

chapter Chapter 11|20 pages

Media Sentiment Momentum

ByAnthony Luciani, Changjie Liu, Richard Peterson

chapter Chapter 12|12 pages

Defining Market States with Media Sentiment

ByTiago Quevedo Teodoro, Joshua Clark-Bell, Richard L. Peterson

part IV.B|70 pages

Application in Risk Control

chapter Chapter 13|21 pages

A Quantitative Metric for Corporate Sustainability

ByDan diBartolomeo, William Zieff

chapter Chapter 14|32 pages

Hot Off the Press: Predicting Intraday Risk and Liquidity with News Analytics

ByRyoko Ito, Giuliano De Rossi, Michael Steliaros

part IV.C|66 pages

Case Studies on ESG

chapter Chapter 16|17 pages

ESG Controversies and Stock Returns

ByTiago Quevedo Teodoro, Joshua Clark-Bell, Richard L. Peterson

chapter Chapter 17|36 pages

Oil and Gas Drilling Waste – A Material Externality

ByJ. Blake Scott

chapter Chapter 18|12 pages

ESG Scores and Price Momentum Are Compatible: Revisited

ByMatus Padysak