Rameeza Andleeb | Behavioral Finance | Best Researcher Award

Dr. Rameeza Andleeb | Behavioral Finance | Best Researcher Award

Assistant Professor at National University of Computer and Emerging Science, Pakistan.

Dr. Rameeza Andleeb ๐ŸŽ“ is a finance academic and researcher currently serving as an Assistant Professor at FAST National University, Islamabad ๐Ÿ‡ต๐Ÿ‡ฐ. She holds a PhD in Finance from the Capital University of Science & Technology (2024) and has contributed significantly to the fields of behavioral finance, investor sentiment, and fintech ๐Ÿ“Š๐Ÿ’ก. With a strong record of research publication in reputable journals like PLOS ONE, SAGE Open, and Asia-Pacific Financial Markets ๐Ÿ“š, Dr. Rameeza is emerging as a promising voice in academic finance. Her professional journey also includes mentoring students, reviewing scholarly papers, and participating in innovative AI-based finance research ๐Ÿค–๐Ÿ“ˆ. Her contributions reflect a blend of academic excellence, collaborative spirit, and passion for technological integration in finance ๐ŸŒ. With a commitment to professional development and community service, she continues to make meaningful strides in both teaching and research arenas ๐ŸŒŸ.

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Suitability For Best Researcher Award – Dr. Rameeza Andleeb

Dr. Rameeza Andleeb exemplifies the qualities expected from a recipient of a Best Researcher Award. Her academic rigor, multidisciplinary knowledge, and consistent research output position her as a rising thought leader in behavioral finance and fintech. Her scholarly activitiesโ€”including peer-reviewed publications, reviewing for internationally recognized journals, and leadership in AI-integrated finance projectsโ€”demonstrate her commitment to advancing knowledge in both theoretical and applied finance. Her focus on cutting-edge themes like investor sentiment and AI in finance makes her research both relevant and forward-looking.

Educationย 

Dr. Rameeza Andleeb‘s academic journey is a testament to her dedication to continuous learning ๐Ÿ“–๐ŸŽ“. She earned her PhD in Finance in 2024 from the Capital University of Science & Technology ๐Ÿ›๏ธ. She previously completed her MS in Finance from International Islamic University Islamabad in 2015 ๐Ÿ“Š. Alongside her finance specialization, she pursued an M.A/M.Ed in Distance and Non-Formal Education in 2013 from AIOU ๐ŸŽ’, demonstrating a cross-disciplinary interest in education. She also holds an M.Com in Accounting & Finance (2011) ๐Ÿ“š, a B.Ed (2009) ๐Ÿ‘ฉโ€๐Ÿซ, and a B.Com (2009) ๐Ÿ’ผ from leading Pakistani institutions. Her academic record reflects a deep and evolving commitment to finance and education across multiple disciplines, equipping her with a holistic understanding of both theory and practice.

Experienceย 

Dr. Rameeza Andleeb brings extensive academic and professional experience to the table ๐Ÿ’ผ. She is currently an Assistant Professor at FAST NUCES Islamabad (2024โ€“present) ๐Ÿซ. Previously, she served as a Lecturer at ARID Agriculture University, University of Gujrat, and University of Central Punjab from 2015 to 2023 ๐Ÿ“˜. Her earlier career includes roles as an invigilator at the British Council and a supervisor with NTS ๐Ÿ“. In the banking sector, she interned at the Bank of Punjab in 2009 ๐Ÿฆ. She also has five years of teaching experience at Almasharqi High School and College, showing her early dedication to education ๐Ÿ‘ฉโ€๐Ÿซ. Her diverse background in both higher education and academic support roles contributes to her strong teaching and mentoring abilities .

Professional Developmentย 

Dr. Rameeza Andleeb is actively involved in professional development through continuous research, academic service, and skill-building initiatives ๐Ÿ“ˆ๐Ÿ“š. She mentors students at FAST through its Community Services Society, promoting leadership and social responsibility ๐Ÿ’ฌ๐Ÿ‘ฅ. Her participation in a Faculty Research Support Grant (FRSG) projectโ€”focused on AI and stock tradingโ€”demonstrates her commitment to integrating cutting-edge technology with finance ๐Ÿค–๐Ÿ’น. As a peer reviewer for journals like PLOS ONE and SAGE Open, she contributes to academic rigor and scholarly discourse ๐Ÿ“‘๐Ÿ”. With over 30 reviewed papers, she plays a crucial role in quality control within the academic finance community ๐Ÿง . Her engagement in research and teaching alongside community service reflects a well-rounded and growth-oriented professional profile ๐ŸŒฑ. Whether through mentoring, publishing, or contributing to innovative research, she continually strives for excellence and relevance in her field ๐ŸŒŸ.

Research Focus Category

Dr. Rameeza Andleebโ€™s research focuses on Behavioral Finance, Investor Sentiment Analysis, and Fintech Adoption ๐Ÿ“Š๐Ÿ’ฌ. Her work primarily explores how psychological factors and market behavior influence equity returns, especially in emerging markets ๐Ÿ“‰๐Ÿ“ˆ. She examines nonlinear effects of investor emotions, reactions to global events, and their relationship with market volatility ๐ŸŒ๐Ÿ“‰. Additionally, her recent interest includes the role of AI and large language models in stock market decision-making, demonstrating a strong inclination toward Tech-Integrated Finance Research ๐Ÿค–๐Ÿ’ก. Dr. Rameeza’s publications show a blend of theoretical models and practical implications, helping policymakers, investors, and academics better understand market anomalies and behavioral trends ๐Ÿง ๐Ÿ“Š. This multidisciplinary and applied research focus makes her a valuable contributor in the fields of economics, finance, and digital transformation ๐Ÿ”„๐Ÿ’ผ.

Research Skills Categoryย 

Dr. Rameeza Andleeb possesses a diverse set of research skills that elevate her scholarly impact ๐Ÿง ๐Ÿ“ˆ. She is proficient in quantitative research methods, especially econometric modeling, time-series analysis, and sentiment quantification tools ๐Ÿ“Š๐Ÿ“‰. Her ability to merge finance theories with statistical models enables her to extract insights from complex financial behaviors and market data ๐Ÿงฎ๐Ÿ’น. In recent projects, she has worked on AI-driven financial models, showing her adaptability to emerging technologies like LLMs and autonomous agents ๐Ÿค–๐Ÿ“˜. Her peer-review work for prestigious journals further highlights her critical thinking, analytical depth, and commitment to research integrity ๐Ÿ“‘โœ”๏ธ. She also has a keen understanding of behavioral biases, fintech usability, and investor psychology, supporting her niche in Behavioral Finance ๐ŸŽฏ. Her skills span research design, literature synthesis, and multi-author collaboration, making her a strong research team contributor and independent scholar alike ๐Ÿค๐ŸŒ.

Awards and Honorsย 

While formal awards are not explicitly listed, Dr. Rameeza Andleebโ€™s achievements reflect recognition in multiple academic forums ๐Ÿ†๐Ÿ“˜. Her selection as a peer reviewer for globally recognized journals like PLOS ONE and SAGE Open signifies high academic trust and prestige ๐ŸŽ“๐Ÿ”. Her leadership in an AI-finance FRSG project also positions her as a forward-thinking researcher selected for institutional support ๐Ÿš€๐Ÿ’ฐ. Additionally, her inclusion in multi-author, multi-disciplinary papers with international collaborators demonstrates peer recognition and professional credibility ๐ŸŒ๐Ÿค. Though she may not yet hold traditional honors or medals, her research contributions, mentoring roles, and active academic engagement mark her as an emerging scholar deserving of future accolades โญ๐Ÿ“ˆ.

Publication Top Notes

1. Predictive Effect of Investor Sentiment on Current and Future Returns in Emerging Equity Markets
  • Authors: R. Andleeb, A. Hassan

  • Journal: PLOS ONE

  • Volume/Issue: 18(5), e0281523

  • Year: 2023

  • Citations: 10

  • Summary: Examines how investor sentiment impacts both current (contemporaneous) and future equity returns in emerging markets, using empirical models.

2. Impact of Investor Sentiment on Contemporaneous and Future Equity Returns in Emerging Markets
  • Authors: R. Andleeb, A. Hassan

  • Journal: SAGE Open

  • Volume/Issue: 13(3), Article 21582440231193568

  • Year: 2023

  • Citations: 6

  • Summary: Similar theme as paper #1; provides additional or complementary analysis of sentiment-driven return predictability in emerging markets.

3. Nonlinear Relationship Between Investor Sentiment and Conditional Volatility in Emerging Equity Markets
  • Authors: R. Andleeb, A. Hassan

  • Journal: Asia-Pacific Financial Markets

  • Pages: 1โ€“19

  • Year: 2024

  • Citations: 3

  • Summary: Investigates nonlinear effects of investor sentiment on volatility, suggesting a more complex dynamic beyond linear relationships.

4. Investor Sentiment Dynamics and Returns in Emerging Equity Markets
  • Author: R. Andleeb

  • Type: Ph.D. Thesis

  • Year: 2024

  • Citations: 2

  • Summary: Comprehensive doctoral research on the role and mechanisms of investor sentiment in shaping equity returns in emerging markets.

5. Behavioral Biases and Fintech Adoption: Investigating the Role of Financial Literacy
  • Authors: R. Aftab, A. Fazal, R. Andleeb

  • Journal: Acta Psychologica

  • Volume: 257, Article 105065

  • Year: 2025

  • Citations: 1

  • Summary: Explores how behavioral biases influence FinTech adoption, with financial literacy as a moderating factor.

6. Beyond Financial Metrics: A Balanced Scorecard Approach to Measure Technology Business Incubation Performance
  • Authors: A. Naeem, A. Masood, R. Andleeb, M.A. Mughal, S. Husain, Faizan Ul Haq

  • Journal: GRADIVA

  • Volume/Issue: 64(06), pp. 35โ€“53

  • Year: 2025

  • Summary: Proposes a comprehensive evaluation framework using the Balanced Scorecard for assessing tech business incubation performance.

Conclusion

Dr. Rameeza Andleeb is highly deserving of a Best Researcher Award. Her early yet impactful academic journey, grounded in both innovation and scholarly excellence, showcases a researcher with not only technical competence but also a vision for transforming how finance is studied and applied in the digital era. Her dedication to interdisciplinary and applied research sets her apart as an emerging leader in her field.