Gender Discrimination in Financial Advising: Evidence from the Chinese Market

Last registered on January 06, 2025

Pre-Trial

Trial Information

General Information

Title
Gender Discrimination in Financial Advising: Evidence from the Chinese Market
RCT ID
AEARCTR-0014873
Initial registration date
December 27, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 06, 2025, 12:17 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Fudan University

Other Primary Investigator(s)

PI Affiliation
Griffith University
PI Affiliation
Fudan University
PI Affiliation
Boston University

Additional Trial Information

Status
Completed
Start date
2024-04-15
End date
2024-10-13
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We conducted an audit study where trained potential investors visited securities firms in China during both bearish and bullish stock market conditions. Across all market conditions, women were consistently given more conservative financial recommendations and were advised to allocate a smaller proportion of their investments to stocks compared to men. Additionally, during bearish periods, financial advisors offered female investors significantly higher commission discounts than male investors, whereas less significant differences in discounts were observed during bullish periods.





External Link(s)

Registration Citation

Citation
Lang, Kevin et al. 2025. "Gender Discrimination in Financial Advising: Evidence from the Chinese Market." AEA RCT Registry. January 06. https://doi.org/10.1257/rct.14873-1.0
Experimental Details

Interventions

Intervention(s)
This audit study aims to investigate how financial advisors at securities firms offer gender-differentiated financial advice and commission discounts, and to explore the underlying mechanisms behind these behaviors.

To establish causal relationships, we use a RCT design. Auditors are randomly assigned to distinct “investor roles” based on a combination of individual characteristics such as gender, local status, risk preference, and other observable traits. The roles are assigned randomly to ensure that the only difference between auditors is their gender. This randomization allows us to infer that any differences in financial recommendations or commission discounts received by auditors are due to gender-based discrimination by the financial advisors.

Auditors are then sent to various branches of securities firms, where they are served by financial advisors who are also randomly assigned by the firms. This randomization of both auditors and advisors enables us to isolate the effect of gender on the financial advice and commission offers provided.

The audit study is conducted in two rounds. Round 1 takes place during a typical bearish market, while Round 2 is conducted during a bearish market influenced by an unexpected positive policy shock. This two-round approach allows us to assess how financial advice and commission offers may change in response to shifts in market conditions.

Additionally, we survey financial advisors to better understand the motivations and factors influencing their behavior. These surveys provide valuable insights into the mechanisms driving gender-differentiated financial advice.
Intervention (Hidden)
This audit study examines gender-differentiated financial advice and commission discounts offered by financial advisors at securities firms in China, aiming to uncover the mechanisms behind these behaviors. To establish causal effects, we employ a randomized controlled trial (RCT) design. Auditors, otherwise identical except for gender, are randomly assigned to 32 distinct investor roles, created by randomizing six characteristics: gender, local status, risk preference, trading frequency, confidence, and planned investment amount. This ensures that the only systematic difference between auditors is their gender, controlling for all other observable characteristics and isolating the causal impact of gender on the financial advice and commission offers received.

This audit study establishes causal effects by using randomization and controlled conditions to isolate the impact of gender on outcomes like financial advice and discounts. Female auditors serve as the treatment group, while male auditors are the control group. The random assignment ensures that any observed differences in financial advice or commission offers are due to gender and not other confounding factors. To further control for external influences, interactions are standardized (e.g., identical scripts, timing, and individual profiles), ensuring that the treatment variable is the only difference between groups. In other words, if male and female auditors with identical profiles receive different commission discounts, the observed difference can be attributed to gender discrimination.

Once assigned, auditors are sent to different branches of securities firms, where they are served by financial advisors who are randomly assigned by the firm. This dual randomization of both auditors and financial advisors ensures that the observed differences can be attributed solely to the treatment variable—gender—allowing us to infer the causal impact of gender on financial advice and commission discounts.

The study is conducted in two rounds: Round 1 during a typical bearish market and Round 2 during a bearish market influenced by a surprising positive policy shock. In both rounds, auditors follow strict protocols for their initial consultations with financial advisors and conduct follow-up meetings within two days to assess any changes in advice or commission offers.

Additionally, a survey of financial advisors is conducted in both rounds to explore the motivations behind their behavior, providing valuable insights into the observed patterns and mechanisms of gender-differentiated financial advice.
Intervention Start Date
2024-04-15
Intervention End Date
2024-10-13

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes examine whether financial advisors provide differentiated investment suggestions based on the gender or other characteristics of potential investors. Since the commission charged varies with the investment bundles recommended, we also investigate whether the discounts offered by financial advisors differ based on the investor's characteristics
Primary Outcomes (explanation)
Investment bundles refer to financial recommendations provided by financial advisors, including suggested allocations to investments across stocks, fixed-income products, ETFs, and other assets.
A commission discount refers to the percentage reduction in the commission offered by the financial advisor compared to the default commission rate.

Secondary Outcomes

Secondary Outcomes (end points)
The second outcome examines the mechanism behind the observed discriminatory behavior of financial advisors towards potential investors.
Secondary Outcomes (explanation)
The second outcome examines the mechanism behind the observed gender-based discriminatory behavior of financial advisors towards potential investors. We will explore the second outcome by surveying financial advisors in both the target city and major financial hub (Shanghai, Beijing).

Experimental Design

Experimental Design
Our study investigates the investment advisory practices of securities firms in a southern city in China. We identified all securities firms and their branches using publicly available data platforms and confirmed their eligibility for the study through direct contact. Auditors, resembling typical retail investors, visited branches to interact with financial advisors. The study spanned two rounds, with the first round lasting four months and the second conducted over two weeks. Auditors were trained with standardized guidelines and conversation templates to ensure consistency in their interactions. During the visits, auditors collected detailed information about investment recommendations, commission practices, and other related advice. Compensation for auditors ensured their commitment to the study.
Experimental Design Details
This study investigates the investment advisory practices of securities firms in a southern city in China. Using detailed corporate data from a leading business registry platform, we identified 42 branches (45 advisory teams) from 26 securities firms as the full sample universe. In Round 1, auditors visited all branches in the universe, while in Round 2, operational changes reduced the sample to 41 branches across 25 seurities firms. Before the study, research assistants confirmed the eligibility of branches by contacting them directly to verify that they provided advisory services to retail investors.

Auditors were carefully selected to represent typical retail investors based on specific demographic and financial criteria, such as moderate stock trading experience, moderate level of financial literacy, and local or non-local residency. Each auditor was assigned a randomized “investor role” characterized by varying attributes such as risk preference and planned investment amount. These roles were designed to ensure diversity while maintaining authenticity, minimizing the risk of auditors being perceived as “acting.”

The study was conducted in two rounds. Round 1 lasted four months (from April to August 2024), with auditors visiting 11–12 branches per month, while Round 2 was compressed into two weeks (in October 2024), with each auditor visiting about 20 branches each week. To avoid raising suspicion, auditors mentioned being referred by a friend during their interactions with financial advisors. They documented details of the advice provided, including investment recommendations, commission charges, and any potential discounts.

Auditors underwent a comprehensive training program to ensure standardized interactions. The training included reading detailed manuals, participating in simulated practice sessions with industry professionals, and verifying their understanding through quizzes. During visits, auditors engaged in initial consultations with financial advisors and conducted follow-up meetings to assess whether advice or commission structures had changed. Auditor compensation was structured to ensure their commitment and included payments for training, branch visits, and transportation.

Please refer to Study Design attached for the detail.
Randomization Method
Random assignment of auditor characteritics was done by a computer.
Randomization Unit
Individual (auditor)
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
In total, there are 5504 visits.
Sample size (or number of clusters) by treatment arms
In each round, 32 auditors with unique randomized characteristics participated. Auditors in Round 1 conducted a total of 2,880 visits, while those in Round 2 completed 2,624 visits.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Based on our prior study, the standard deviation is 18.98 for males and 21.88 for females, with a mean difference in discount between females and males of 10.01%. This results in an effect size of 0.5. Assuming 80% power, a significance level of 0.05, and an allocation ratio of 1, the minimal required total sample size is 128 for an effect size of 0.5. If the effect size is reduced to 0.2, the required sample size increases to 788. For an effect size of 0.1, the required sample size is 3,142.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
October 13, 2024, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
October 13, 2024, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
64 aditors with unique characteristics.
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
5504 visits.
Final Sample Size (or Number of Clusters) by Treatment Arms
Round 1: 32 auditors X 45 Branches X 2 visits = 2880 visits Round 2: 32 auditors X 41 Branches X 2 visits = 2624 visits Total sample size: 2880 + 2624 = 5504 visits.
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
No
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials