Abstract
Financial decision-making, a cornerstone of individual prosperity and global economic stability, is hard to comprehend because it is a complex cognitive process concerned with emotional state and behavioural bias. This paper aims to decode the neural mechanisms behind financial behaviour to advance theoretical and empirical progress in neurofinance. Thus, to better capture financial behaviour, this article proposes an innovative framework that bridges neurofinance, neuroscience, and bio-inspired computational models, like the MCoRNNMCD-ANN. Key research areas include the role of neural processes driving decisions, the effect of cognitive preferences on judgment, and the potential of bio-inspired AI models to enhance understanding. The societal implications of this research seek to encourage equitable, stable and informed financial systems while addressing challenges at the intersection of neurofinance and neuroscience-informed AI.
Original language | English |
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Journal | IEEE Transactions on Technology and Society |
Early online date | 8 Apr 2025 |
DOIs | |
Publication status | E-pub ahead of print - 8 Apr 2025 |
Keywords
- Artificial intelligence
- Decision making
- Neuroscience
- Brain modeling
- Computational modeling
- Convolutional neural networks
- Complexity theory
- Sentiment analysis
- Encoding
- Economics