Big Data in Economics and Management

Big Data in Economics and Management

Zheng Zhang, Kun Zhang, Xing Yan, Songshan Yang, Yuqian Zhang

This book discusses three advanced topics in modern economics and management: causal inference, financial model computing and decisions, and financial risk management. The first part of the book introduces the counterfactual framework for causal inference in observational studies and defines important causal parameters under both discrete and continuous treatments. The second part focuses on the computations associated with the financial model and its consequent decision-making. The third part studies the nested simulation method for portfolio risk measurement and introduces the neural network methodology for market risk forecasting.

The goal of this book is to provide cutting-edge methodologies and rigorous theory to solve advanced problems in economics and management, such as program/policy evaluation, efficient computation of econometric models, and financial risk management. This book will be appealing to academic researchers and graduate students. Practitioners may also find this book helpful.

Statistics and Big Data

Springer

2026

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This work is licensed under a Creative Commons Attribution 4.0 International License

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