What factors affect trading performance?
Last registered on April 16, 2019

Pre-Trial

Trial Information
General Information
Title
What factors affect trading performance?
RCT ID
AEARCTR-0003853
Initial registration date
February 03, 2019
Last updated
April 16, 2019 4:27 AM EDT
Location(s)

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Primary Investigator
Affiliation
University College London
Other Primary Investigator(s)
PI Affiliation
PI Affiliation
Additional Trial Information
Status
In development
Start date
2019-02-04
End date
2019-09-30
Secondary IDs
Abstract
This study explores the factors that contribute to earnings in financial markets. Different populations are studied and compared. Undergraduate subjects are used as the control for a portion of the analysis.
External Link(s)
Registration Citation
Citation
Cipriani, Marco, Antonio Guarino and Ryan Kendall. 2019. "What factors affect trading performance?." AEA RCT Registry. April 16. https://www.socialscienceregistry.org/trials/3853/history/44960
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-02-04
Intervention End Date
2019-05-10
Primary Outcomes
Primary Outcomes (end points)
We have two primary outcomes we are interested in. First, do the different populations mis-price the asset at different levels? In this case, undergraduate subjects are used as the control against a different population. Second, based on a battery of tests conducted after the market experiment, which cognitive or non-cognitive trait best predicts performance in the experimental market.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We are studying behavior in a market experiment across different groups. Undergraduate subjects are used as the control for a portion of the analysis.
Experimental Design Details
Not available
Randomization Method
Randomization is always carried out by computer programs.
Randomization Unit
We will be looking at, both, individual level choices (e.g., scores on tests and personal earnings) and group level choices (e.g., average price per period and comparison across population groups).
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
We plan to have approximately 50 subjects in each of the two groups (for 100 total subjects).
Sample size: planned number of observations
Each subject makes make choices in the experiment.
Sample size (or number of clusters) by treatment arms
Our treatment variable is the two different population groups.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UCL Research Ethics Committee
IRB Approval Date
2017-11-28
IRB Approval Number
12439/001