Empirical Finance, 9781032894706
Hardcover
Bridge finance theory and practice with hands-on Python/R data analysis.
Pre-Order

$261.37

  • Hardcover

    252 pages

  • Release Date

    14 April 2026

Check Delivery Options

Summary

Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ens…

Book Details

ISBN-13:9781032894706
ISBN-10:1032894709
Author:Oliver Linton, Shaoran Li, Shuyi Ge
Publisher:Taylor & Francis Ltd
Imprint:Chapman & Hall/CRC
Format:Hardcover
Number of Pages:252
Release Date:14 April 2026
Weight:0g
Dimensions:234mm x 156mm
Series:Chapman and Hall/CRC Series on Statistics in Business and Economics
About The Author

Oliver Linton

Oliver Linton is the Professor of Political Economy at the University of Cambridge and a Fellow of Trinity College. A leading econometrician and financial economist, his extensive research focuses on nonparametric estimation, time series analysis, and empirical finance.

Shaoran Li is an assistant professor in the School of Economics, Peking University. His research focuses on financial econometrics, empirical asset pricing and machine learning, with work published in leading international journals.

Shuyi Ge is an associate professor in the School of Finance, Nankai University. Her research focuses on empirical asset pricing, financial econometrics, networks and machine learning, with work published in leading international journals.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.