Erratum

• Published date: 01 September 2022
• Date: 01 September 2022
• DOI: http://doi.org/10.1111/1475-679X.12454

DOI: 10.1111/1475-679X.12454

Journal of Accounting Research

Vol. 60 No. 4 September 2022

Printed in U.S.A.

Erratum

In Volume58, Issue 1: “Detecting Accounting Fraud in Publicly Traded U.S.

Firms Using a Machine Learning Approach” by Yang Bao1,BinKe

2,BinLi

3,

Y. Julia Yu4, and Jie Zhang5

The updated codes and data used for our best model RUSBoost

are available at the Github repository: https://github.com/JarFraud/

FraudDetection.

1Antai College of Economics and Management, Shanghai Jiao Tong

University, Shanghai, P.R. China 200030. Tel: +86-21-6293 3672. Email:

baoyang@sjtu.edu.cn.

2Department of Accounting, NUS Business School, National University

of Singapore, Mochtar Riady Building, BIZ 1, # 07–53, 15 Kent Ridge

Drive, Singapore 119245.Tel: +65 6601 3133. Fax: +65 6773 6493. Email:

bizk@nus.edu.sg.

3Department of Finance, Economics and Management School, Wuhan

University, Wuhan, P.R. China 430072. Tel: +86-27-6875 6536. Email:

binli.whu@whu.edu.cn.

4McIntire School of Commerce, University of Virginia, Charlottesville, VA,

22903. Tel: +1 434-243-4933. Email: julia.yu@virginia.edu.

5School of Computer Engineering, Nanyang Technological University, N4-

02c-100, 50 Nanyang Avenue, Singapore 639798. Tel:+65 6790 6245. Email:

zhangj@ntu.edu.sg.

1. Corrected results of Bao et al. (2020)

Walker (2021a and 2021b) identif‌ied an error in the program codes of

Bao et al. (2020) posted on Github that led to an overstatement of model

performance metrics. This erratum corrects this error related to the proce-

dures described in Section 3.3 of Bao et al. (2020) for dealing with serial

fraud that spans both training and test periods (referred to as spanning se-

rial fraud thereafter). Bao et al.’s (2020) intent was to recode all spanning

1635

© 2022 The Chookaszian Accounting Research Center at the University of Chicago Booth School of

Business.