Wasim Ul Rehman
Biographic Data
| ID | 4463949 |
|---|---|
| NAME | Wasim Ul Rehman |
| GIVEN NAMES | Wasim Ul |
| FAMILY NAME | Rehman |
| SIGNATURE | REHMAN W U |
| AFFILIATIONS | GIFT University |
| ORCID | 0000-0002-9927-2780 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unmasking role of propensity for and quality of intellectual capital divulgence: A knowledge-based perspective
Translating the role of artificial intelligence into green intellectual capital initiatives and green business process optimization in achieving corporate environmental performance
Viral decisions: Unmasking the impact of Covid-19 info and behavioral quirks on investment choices
This study aims to investigate the impact of behavioral biases on investment decisions and the moderating role of COVID-19 pandemic information sharing. Furthermore, it highlights the significance of considering cognitive biases and sociodemographic factors in analyzing investor behavior and in designing agent-based models for market simulation. The findings reveal that these behavioral factors significantly positively affect investment decisions…
Predicting loss aversion behavior with machine-learning methods
This paper proposes to forecast an important cognitive phenomenon called the Loss Aversion Bias via Hybrid Machine Learning Models. One of the unique aspects of this study is using the reaction time (milliseconds), psychological factors (self-confidence scale, Beck’s hopelessness scale, loss-aversion), and personality traits (financial literacy scales, socio-demographic features) as features in classification and regression methods. We found that…
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Predicting loss aversion behavior with machine-learning methods
This paper proposes to forecast an important cognitive phenomenon called the Loss Aversion Bias via Hybrid Machine Learning Models. One of the unique aspects of this study is using the reaction time (milliseconds), psychological factors (self-confidence scale, Beck’s hopelessness scale, loss-aversion), and personality traits (financial literacy scales, socio-demographic features) as features in classification and regression methods. We found that…
Viral decisions: Unmasking the impact of Covid-19 info and behavioral quirks on investment choices
This study aims to investigate the impact of behavioral biases on investment decisions and the moderating role of COVID-19 pandemic information sharing. Furthermore, it highlights the significance of considering cognitive biases and sociodemographic factors in analyzing investor behavior and in designing agent-based models for market simulation. The findings reveal that these behavioral factors significantly positively affect investment decisions…
Unmasking role of propensity for and quality of intellectual capital divulgence: A knowledge-based perspective
Translating the role of artificial intelligence into green intellectual capital initiatives and green business process optimization in achieving corporate environmental performance
Psychology (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Financial Markets and Investment Strategies (2 works) · Social Psychology (2 works) · 2019-20 coronavirus outbreak (1 works) · Behavioral economics (1 works) · Business (1 works) · Cognition (1 works) · Cognitive psychology (1 works)