Understanding Investors’ ESG Preferences: Beliefs, Ambiguity Attitudes and Social Norm

Last registered on November 09, 2021

Pre-Trial

Trial Information

General Information

Title
Understanding Investors’ ESG Preferences: Beliefs, Ambiguity Attitudes and Social Norm
RCT ID
AEARCTR-0008508
Initial registration date
November 08, 2021

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
November 09, 2021, 10:45 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Maastricht University, Finance Department

Other Primary Investigator(s)

PI Affiliation
Maastricht University
PI Affiliation
Maastricht University

Additional Trial Information

Status
In development
Start date
2021-11-29
End date
2022-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
ESG (environmental, social, and governance) factors increasingly attract a tremendous amount of capital and investors’ attention. However, a complete understanding of the underlying drive for this pursuit for high ESG is still lacking to date, both theoretically and practically. The literature so far has solely focused on social preferences, whereas in this project, we propose and investigate a number of important and plausible explanations.

We will launch a field experiment. First, we randomly separate investors into two groups and show them a randomly selected high ESG fund's past annual returns. The intervention group is told the fund's ESG rating is high, but the baseline group doesn't know the fund's ESG information. Then, we measure two groups of beliefs, ambiguity perception, and social norms by adopting novel quantitative methodologies to a survey experiment. Theoretically, we propose investors’ beliefs towards superior performance, lower perceived ambiguity, and norm following of high ESG investments as alternative explanations. Practically, we construct and validate a design to elicit such beliefs, ambiguity perceptions, and social norms efficiently and scientifically.

Our findings will have significant implications for financial institutes and policymakers. For instance, the methods we develop can provide a profiling tool in terms of understanding the true ESG preference of investors, and for policymakers that strive to promote socially responsible investment (SRI). In the meantime, we will also profile index fund investors, in order to find out how they are similar or different in characteristics from other investor classes.
External Link(s)

Registration Citation

Citation
Bauer, Rob, Bin Dong and Peiran Jiao. 2021. "Understanding Investors’ ESG Preferences: Beliefs, Ambiguity Attitudes and Social Norm." AEA RCT Registry. November 09. https://doi.org/10.1257/rct.8508-1.0
Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details

Interventions

Intervention(s)
We offer the selected funds' ESG information (ESG Rating) to the intervention group.
We hide the selected funds' ESG information (ESG Rating) from the baseline group.
Intervention Start Date
2022-01-17
Intervention End Date
2022-02-17

Primary Outcomes

Primary Outcomes (end points)
We measure two groups of outcome variables:
1) Beliefs on high-ESG funds' performance
2) Ambiguity Perception on ESG information
3) Social norms on ESG investing
4) Social preferences
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our survey experiment includes an ESG information treatment to elicit investors' beliefs on ESG assets performance, ambiguity perception on ESG information, and social norms on ESG investing. First, we randomly separate investors into two groups and show them a selected high-ESG rating fund's past performance. Then, we give the fund's high-ESG information to the intervention group and hide the information to the baseline group. After reading the information, investors are asked to predict the following year (short-term) and three-year (long-term) annual returns.

One hundred high-ESG rating funds are randomly selected. The intervention group is told that all of the selected one hundred funds are high-ESG ratings, and the baseline group doesn't have any ESG information. Investors are then asked to predict the proportion of funds' positive returns given one hundred randomly selected funds.

Investors are then asked to rate the social impact of investing behavior described in the survey. The intervention group is asked to evaluate investment of low-ESG, and the baseline group is asked to evaluate investment of high-ESG.

Investors are then asked to select between funds with various ESG attributes (high-ESG, low-ESG), management type (passive, active), risk classification (high, middle, low), and expected returns.
Experimental Design Details
Randomization Method
Randomization done within the survey platform, oTree.
Randomization Unit
Randomization unit (questions' orders) is done within the survey program by oTree.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
We plan to distribute the survey to 15000 investors in the Netherlands.
Sample size: planned number of observations
We plan to collect 1500 valid survey responses.
Sample size (or number of clusters) by treatment arms
We will have two treatment groups: baseline group and intervention group. We will have 650 observations per group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We used the software program G*Power to conduct a power analysis. Our goal was to obtain .95 power at the standard .05 alpha error probability. With a target sample size of 650 participants within each group, we can detect an effect size of 0.2. We attempt to over-recruit to guarantee 650 valid responses in each group.
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethical Review Committee Inner City Faculties
IRB Approval Date
2021-08-02
IRB Approval Number
ERCIC_278_27_07_2021_Jiao

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials