The Effect of Emotions on Investment Decisions in Crowdfunding

Last registered on October 04, 2023

Pre-Trial

Trial Information

General Information

Title
The Effect of Emotions on Investment Decisions in Crowdfunding
RCT ID
AEARCTR-0011358
Initial registration date
May 05, 2023

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
October 04, 2023, 5:09 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
University of Innsbruck

Other Primary Investigator(s)

PI Affiliation
University of Innsbruck

Additional Trial Information

Status
Completed
Start date
2023-04-27
End date
2023-05-20
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Emotions have a significant impact on decision-making. Understanding the impact of emotions on investment decision-making is crucial, particularly when predicting investment outcomes, due to the rising popularity and competitiveness of crowdfunding campaigns. This research aims to explore the role of emotions in investment decisions with regard to the cause-effect mechanism and correlation between emotions of the investor and investment decisions in crowdfunding campaigns. The study will focus on reward-based and equity-based crowdfunding, the most impactful forms of crowdfunding. Additionally, the study aims to investigate if individuals with investment knowledge make less emotional and more fact-based investment decisions than individuals without investment knowledge. The study's results will offer valuable insights into the role of emotions in investment decision-making, enhancing a better understanding of the crowdfunding process for investors, capital seekers, and platform providers, and also paving the way for further research in the area of marketing that explores the potential of emotion knowledge to improve product presentation and increase success rates.
The role of emotions in decision-making is gaining importance in the field of investment science and entrepreneurial finance, and its impact on investment decisions in crowdfunding is a new area that needs exploration. The first research question aims to explore the influence of emotions on the investment decisions of private investors in crowdfunding campaigns and whether emotions can predict investment decisions. As reward-based and equity-based crowdfunding are the most impactful forms of crowdfunding a second research question will examine the extent to which emotions affect the investment decision of private investors differently. The third research question shall investigate whether people with investment knowledge make less emotional and more fact-based investment decisions than people without investment knowledge. The research aims to reduce the research gap in the behavior of retail investors in the investment decision-making process.
External Link(s)

Registration Citation

Citation
Barmann, Moritz and Elias Moser. 2023. "The Effect of Emotions on Investment Decisions in Crowdfunding." AEA RCT Registry. October 04. https://doi.org/10.1257/rct.11358-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-05-11
Intervention End Date
2023-05-20

Primary Outcomes

Primary Outcomes (end points)
The dependent variable of interest in this experimental design is the investment decision in crowdfunding, which refers to whether and how much participants want to invest in the crowdfunding campaign. Independent variables of interest include the discrete emotions of desire and anger, measured using a questionnaire, and the core affect, represented by the interaction of expressed valence (positive or negative) and arousal, which is measured using the AI-based techniques of Tawny.ai.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
To explore the interaction effect between emotions and investment decisions an experiment combining two methods will be set up. First, a structured observation in the form of showing one crowdfunding video to participants will be conducted, to observe people’s behavior. By using the software Tawny.ai, the emotions of the study participants, as shown in reactions in the form of facial expressions, can be recorded and presented in data form. In a second step, participants have to answer a questionnaire consisting of closed-ended responses to bring the investment decision into the experiment. Data analysis should then confirm or reject the hypotheses and answer the research questions. The study is not location-bound and can be carried out online by the test person on their device.

Before watching a startup pitch video, where Tawny.ai will collect data based on facial expressions, participants are asked about their current affective state, a longer-lasting emotional state, which serves as one moderator. During the video presentation, Tawny.ai measures the valence and arousal participants have shown with their facial expressions as well as the single discrete emotions of happiness, surprise, anger, and sadness. In addition, the discrete emotions of desire and anger are evaluated using the Discrete Emotion Questionnaire. The DEQ is a tool to measure self-reported emotions from participants (Harmon-Jones et al. 2016).

For further processing, participants will be divided into two groups to observe the influence of emotions regarding two different scenarios: reward-based crowdfunding, where the investor receives a reward in return, and equity-based crowdfunding, which means the investment into the equity share of a startup company. The aim is to have about 60 participants each. Throughout the experiment, the currency “ECU” will be used, which will be exchanged into Euros with a conversion rate of 250 to 1 once the experiment is completed. The conversion rate will not be disclosed to the participants in advance.

Participants will be asked three investment-related questions: (1) whether they want to invest in the company or not; (2) how many ECUs they want to invest (0, 250, 500, 750, or 1000) or for reward-based crowdfunding, which package they want to choose (Basic, Standard, Premium, or Ultimate); and (3) how participants adjust their decision considering the additional information on the funding status, in terms of a 25% and 90% funding target achieved.

Emotional expressivity is measured using a questionnaire developed and validated by Kring et al. (1994), to better analyze the data and to use as the second moderator. Furthermore, questions regarding their perception of the idea, to investigate the extent to which an individual's interest in the idea influences their investment decision, concerning the individual's risk-taking tendencies, and dietary preferences are included. These control variables will improve the analysis of the participant's behavior throughout the experiment.

To analyze if participants with more financial knowledge behaved differently than participants with less financial knowledge and are less inclined to make decisions driven by emotion and more likely to invest in ideas based on market potential, the experiment will include a financial literacy quiz, first created by Fernandez et al. (2014) and later adjusted by Hanaki (2022). The quiz includes 12 questions that vary in degree of difficulty and focus on the characteristics of financial products and interests.

The experiment is conducted incentivized to simulate an investment decision that can improve or worsen the outcome. First, each participant receives 2 euros as so-called „show-up" compensation for participating in the experiment. An additional investment budget of 1000 ECU is provided, which is equivalent to 4 euros. The participant can either increase or lose the investment budget depending on the investment decision. The performance is not related to a predefined set of right or wrong answers but to one's own decision in relation to the decisions of all participants. This results in two scenarios in which the decision to invest or not is right or wrong depending on whether the majority of the participants decide in favor of investing or not. This approach follows the so-called „beauty-contest-game" approach according to Keynes.
Experimental Design Details
Randomization Method
Participants are randomly assigned to one of four groups. The groups are equally weighted so that each group includes the same number of participants.
Randomization Unit
The randomization Unit is each individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
There is none
Sample size: planned number of observations
120 participants planned
Sample size (or number of clusters) by treatment arms
Planned are 30 participants for each of the four groups and in total 120 participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
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?
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