Do Women Receive Worse Financial Advice?

Journal of Finance, Forthcoming

HKUST Business School Research Paper No. 2023-135

103 Pages Posted: 19 Oct 2023 Last revised: 6 Dec 2023

See all articles by Utpal Bhattacharya

Utpal Bhattacharya

HKUST Business School

Amit Kumar

Singapore Management University - Lee Kong Chian School of Business

Sujata Visaria

Hong Kong University of Science & Technology (HKUST); City University London - Bayes Business School

Jing Zhao

Hong Kong Polytechnic University

Multiple version iconThere are 2 versions of this paper

Date Written: September 1, 2023

Abstract

We arranged for trained undercover men and women to pose as potential clients and visit all 65 local financial advisory firms in Hong Kong. At financial planning firms, but not at securities firms, women were more likely than men to receive advice to buy only individual or only local securities. Women clients who signaled that they were highly confident, highly risk tolerant or had a domestic outlook, were especially likely to receive this suboptimal advice. Our theoretical model explains these patterns as the result of statistical discrimination interacting with advisors’ incentives. Taste-based discrimination is unlikely to explain the results.

Keywords: audit study, gender, financial advice, securities firm, financial planner, risk tolerance, confidenc

JEL Classification: D14, D91, G11, G24, G41

Suggested Citation

Bhattacharya, Utpal and Kumar, Amit and Visaria, Sujata and Zhao, Jing, Do Women Receive Worse Financial Advice? (September 1, 2023). Journal of Finance, Forthcoming, HKUST Business School Research Paper No. 2023-135, Available at SSRN: https://ssrn.com/abstract=4583622

Utpal Bhattacharya

HKUST Business School ( email )

Clear Water Bay
Kowloon
Hong Kong

Amit Kumar

Singapore Management University - Lee Kong Chian School of Business ( email )

469 Bukit Timah Road
Singapore 912409
Singapore

HOME PAGE: http://www.amitkmr.com

Sujata Visaria (Contact Author)

Hong Kong University of Science & Technology (HKUST) ( email )

Clearwater Bay
Kowloon, 999999
Hong Kong

City University London - Bayes Business School ( email )

United Kingdom

Jing Zhao

Hong Kong Polytechnic University ( email )

11 Yuk Choi Rd
Hung Hom
Hong Kong

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