Rabeya Khatoon
Biographic Data
| ID | 6956489 |
|---|---|
| NAME | Rabeya Khatoon |
| GIVEN NAMES | Rabeya |
| FAMILY NAME | Khatoon |
| SIGNATURE | KHATOON R |
| AFFILIATIONS | University of Bristol |
| ORCID | 0000-0001-7966-9206 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing Regulatory Compliance in the Modern Banking Sector
In the current financial landscape, preventing banking fraud and managing risk are crucial, and integrating Artificial Intelligence (AI) offers a viable path for breakthroughs and maintaining regulatory compliance in these areas. This study explores the various ways that AI can be used to identify, stop, and handle fraud in the banking industry. The primary objective of this study was to assess how the banking industry's digitalization necessitat…
Aggregation, asymmetry, and common factors for Bangladesh’s exchange rate–trade balance relation
We present an application of the recent CS-ARDL methodology in the context of a country’s trade balance–exchange rate relationship. The trade balance is expected to deteriorate first before improving in response to currency depreciation and vice versa, widely known as the J-curve effect satisfying the Marshall–Lerner condition in the long run. Combining bilateral and aggregate analysis in one setting by constructing specific panel data with one r…
Flipped small group classes and peer marking
This paper proposes a new way of flipping small group classes in quantitative courses by active reading and peer marking using the virtual learning environment. We aim to engage students in the learning material by attempting a problem followed by peer marking based on some given solution guideline before they are exposed to another similar problem to solve during the small group classes. We design a quasi-experiment to evaluate the effect of pee…
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Aggregation, asymmetry, and common factors for Bangladesh’s exchange rate–trade balance relation
We present an application of the recent CS-ARDL methodology in the context of a country’s trade balance–exchange rate relationship. The trade balance is expected to deteriorate first before improving in response to currency depreciation and vice versa, widely known as the J-curve effect satisfying the Marshall–Lerner condition in the long run. Combining bilateral and aggregate analysis in one setting by constructing specific panel data with one r…
Flipped small group classes and peer marking
This paper proposes a new way of flipping small group classes in quantitative courses by active reading and peer marking using the virtual learning environment. We aim to engage students in the learning material by attempting a problem followed by peer marking based on some given solution guideline before they are exposed to another similar problem to solve during the small group classes. We design a quasi-experiment to evaluate the effect of pee…
Enhancing Regulatory Compliance in the Modern Banking Sector
In the current financial landscape, preventing banking fraud and managing risk are crucial, and integrating Artificial Intelligence (AI) offers a viable path for breakthroughs and maintaining regulatory compliance in these areas. This study explores the various ways that AI can be used to identify, stop, and handle fraud in the banking industry. The primary objective of this study was to assess how the banking industry's digitalization necessitat…
Business (2 works) · Psychology (2 works) · Accounting (1 work) · Aggregate data (1 work) · Balance of trade (1 work) · Commodity (1 work) · Computer Science (1 work) · Cooperative learning (1 work) · Currency (1 work) · Current account (1 work)