Flex Conference (Physical / Digital)

International Conference on Experimental Finance and Research - (ICEFAR-27)

11th - 12th February 2027 , Port Moresby - Papua New Guinea

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Academic Program

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 10 SDG 10 — Reduced Inequalities
SDG 11 SDG 11 — Sustainable Cities and Communities
Session Tracks
Track 01
Foundations of Experimental Finance Theory

This track explores the theoretical underpinnings of experimental finance, focusing on the integration of traditional finance theories with experimental methodologies. Papers will address the challenges and advancements in developing robust experimental frameworks.

Track 02
Econometric Approaches to Experimental Data

This session emphasizes the application of econometric techniques to analyze data derived from experimental finance studies. Contributions will highlight innovative methods for addressing common econometric challenges in experimental settings.

Track 03
Behavioral Assumptions in Financial Decision-Making

This track investigates the behavioral assumptions that underpin financial models and their implications for market behavior. Researchers are invited to present findings that test these assumptions through experimental methodologies.

Track 04
Equilibrium Concepts in Experimental Finance

This session focuses on the exploration of equilibrium assumptions within experimental finance, including discussions on multiple equilibria and convergence. Papers will examine how experimental results inform our understanding of equilibrium in financial markets.

Track 05
Model Testing and Validation in Finance Experiments

This track is dedicated to the testing and validation of financial models using experimental approaches. Contributions will showcase empirical evidence that supports or challenges existing financial theories.

Track 06
Individual Bias and Market Behavior

This session delves into the relationship between individual biases and aggregate market behavior, utilizing experimental finance to uncover insights. Papers will explore how individual decision-making influences broader market dynamics.

Track 07
Insights from Experimental Psychology and Economics

This track aims to bridge the gap between experimental psychology and experimental economics, highlighting interdisciplinary approaches to understanding financial behavior. Researchers are encouraged to present comparative studies that yield novel insights.

Track 08
Mitigating Biases in Experimental Finance

This session addresses the various biases that can affect experimental finance research, including omitted-variable biases and self-selection problems. Papers will propose strategies for minimizing these biases in experimental designs.

Track 09
Types of Experiments in Finance Research

This track categorizes and discusses the different types of experiments employed in finance research, including laboratory experiments, controlled field studies, and natural experiments. Contributions will evaluate the strengths and weaknesses of each experimental type.

Track 10
Innovations in Experimental Design

This session focuses on innovative experimental designs that enhance the validity and reliability of findings in experimental finance. Researchers are invited to share novel methodologies and their implications for future research.

Track 11
Key Findings and Future Directions in Experimental Finance

This track highlights significant findings from recent experimental finance studies and discusses their implications for theory and practice. Papers will also outline future research directions and emerging trends in the field.