Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 70 , 08 January 2024
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Integrating Value at Risk (VaR) Model into Behavior Economics for Consumer Behavior Marketing and Decision Analysis
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Abstract
This overview paper supplies a background for a potential suppose of a new research dimension, based on Value at Risk model analysis applying in a point of view based on behavior economics, and supposed theory of using the models of Value at Risk. This article proposes a novel research avenue by melding the Value at Risk (VaR) model with behavioral economics, aiming to enrich our comprehension and forecasting of consumer behavior in the marketing domain. The paper underscores the significance of the discussed topics, encompassing the VaR model, marketing strategies, consumer behavior patterns, behavioral economics, and a concise touch on econometric tools. Hypotheses are presented, showcasing a regression model that holds the potential to significantly contribute to upcoming research endeavors. The foundational context and recommended methodologies of this study are tailored to spotlight specific market segments when gauging market reactions. By employing this combined model, researchers can delve into the behavior of consumers within specific geographical or economic markets, offering insights into their likely reactions to shifts in the price of merit goods. This approach beckons further exploration in correlating domains, encompassing classical economics, marketing insights related to consumer behavior, and the broader realm of behavioral economics.
Keywords
Combination research, Value at Risk model, Behavioral Economics, Consumer Behavior in Marketing
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-271-8
- ISBN (Online)
- 978-1-83558-272-5
- Published Date
- 08 January 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/70/20231682
- Copyright
- 08 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited