Huda Aldhahi | Finance | Innovative Research Award

Innovative Research Award

Huda Aldhahi

Imam Mohammad Ibn Saud Islamic University

Huda Aldhahi
Affiliation Imam Mohammad Ibn Saud Islamic University
Country Saudi Arabia
Scopus ID 60604137200
Documents 1
Citations 1
h-index 1
Subject Area Finance
Event International Popular Scientist Awards
ORCID 0009-0007-8266-3017

Huda Aldhahi is a finance researcher affiliated with Imam Mohammad Ibn Saud Islamic University in Saudi Arabia. Her documented research profile is associated with financial-market analysis, with recent scholarly work addressing cryptocurrency returns, volatility, uncertainty, investor attention, and regime-dependent financial risk. The available publication record includes studies employing econometric and quantitative methods to investigate the behavior and predictability of digital-asset markets.

Abstract

Huda Aldhahi’s documented research profile in finance focuses on contemporary questions concerning cryptocurrency markets and financial risk. Recent publications examine whether cryptocurrency distress can be predicted across market regimes and exchanges, how pairing uncertainty and investor-attention measures can explain cryptocurrency returns, and how alternative volatility models perform when high-frequency observations are used. [1] [2] [3] Collectively, these studies reflect an empirical and quantitative approach to understanding digital-asset market behavior.

Keywords

Finance; Cryptocurrency Markets; Financial Econometrics; Cryptocurrency Volatility; Market Risk; Investor Attention; Uncertainty; Quantile Analysis; Causality; High-Frequency Data; GARCH Models; Digital Assets.

Introduction

Cryptocurrency markets have become an important setting for empirical financial research because digital assets exhibit distinctive return and volatility characteristics. Their market behavior may be affected by information flows, investor attention, uncertainty, liquidity conditions, and changes in broader market regimes. Quantitative approaches are therefore frequently used to evaluate the predictability and dynamics of cryptocurrency prices and risk.[1]

Research Profile

The available profile identifies Huda Aldhahi with Imam Mohammad Ibn Saud Islamic University and the subject area of finance. The associated Scopus author identifier is 60604137200. The supplied profile records one indexed document, one citation, and an h-index of one. These bibliometric values describe the currently supplied indexed record and should be interpreted as time-dependent indicators rather than comprehensive measures of research quality.

Research Contributions

The research record presents several complementary methodological perspectives on cryptocurrency finance. The study of regime-dependent cryptocurrency distress addresses whether predictive relationships remain stable across different market conditions and exchanges. Such an approach is relevant because relationships observed during one market state may not necessarily persist during another. [1][2]

Publications

The supplied publication record includes three journal articles published in 2026. Together, they address cryptocurrency distress, cryptocurrency returns, uncertainty, investor attention, and volatility modeling.

Research Impact

The potential significance of this research lies in its focus on empirical questions that are directly relevant to the measurement and management of cryptocurrency-market risk. Research on distress predictability can inform the understanding of conditions associated with adverse market states, while volatility modeling can support more detailed assessments of changing return variability. [1] [3]

Award Suitability

The research profile is relevant to an Innovative Research Award in the finance category because the documented publications address emerging financial-market questions through quantitative empirical methods. The work connects contemporary cryptocurrency-market phenomena with established financial-econometric techniques, creating opportunities to evaluate the applicability and comparative performance of different analytical frameworks.

Conclusion

Huda Aldhahi’s documented research profile represents an emerging contribution to quantitative finance, with particular attention to cryptocurrency markets and financial risk. The supplied publications address cryptocurrency distress, returns, uncertainty, investor attention, and volatility through a range of empirical and econometric techniques. [1] [2] [3]

References

  1. Publication: Regime-Dependent Predictability of Cryptocurrency Distress: Cross-Sectional Evidence from Two Exchanges. Journal of Risk and Financial Management, 2026, 19(8), 599.
    DOI: https://doi.org/10.3390/jrfm19080599
  2. Pairing Uncertainty and Attention Indices to Explain Cryptocurrency Returns: Quantile and Causality Evidence. Journal of Risk and Financial Management, 2026, 19(8), 550.
    DOI: https://doi.org/10.3390/jrfm19080550
  3. Predicting the Volatility of Cryptocurrencies’ Returns Using High-Frequency Data: A Comparative Analysis of GARCH, EGARCH, IGARCH, GJR-GARCH, LRE, and HAR Models.
    DOI: https://doi.org/10.3390/ijfs14040090
  4. International Popular Scientist Awards. (n.d.). International Popular Scientist Awards. Award information and recognition platform.
    https://popularscientist.com/

Sisira Jayasekara | Banking | Research Excellence Award

Mr. Sisira Jayasekara | Banking | Research Excellence Award

Additional Director | Central Bank of Sri Lanka | Sri Lanka

Mr. Sisira Jayasekara is an independent researcher whose scholarly work has substantially advanced global understanding of anti-money laundering and countering the financing of terrorism. His research critically evaluates the effectiveness of risk-based frameworks, the practical impact of FATF recommendations, and the institutional mechanisms that influence compliance within financial systems. By introducing innovative perspectives, including the application of agency theory to AML/CFT, he has contributed new conceptual clarity to policy discourse and regulatory implementation. His publications appear in reputable indexed journals and address the complexities of financial integrity, institutional governance, and regulatory efficiency in evolving global financial landscapes. Beyond AML/CFT, his work explores value information and its role in shaping the performance of financial institutions, offering insights that bridge accounting, economics, and regulatory science. Professionally, he has held progressive leadership and analytical roles within financial oversight, financial intelligence, bank supervision, accounting, auditing, and large-scale public sector financial management. These positions have strengthened his expertise in evaluating institutional risks, designing supervisory approaches, and enhancing compliance cultures across diverse financial environments. His multidisciplinary training in accountancy, management, law, finance, and professional accounting enriches his holistic research perspective, enabling him to integrate theoretical rigor with practical regulatory experience. Mr. Jayasekara continues to contribute to knowledge creation in AML/CFT, financial sector governance, and institutional performance through evidence-based analysis, conceptual innovation, and a consistent commitment to strengthening global financial security.

Profiles: Scopus | Orcid | Google Scholar

Featured Publication

Jayasekara, S. D. (2021). Deficient regimes of anti-money laundering and countering the financing of terrorism: Agenda of digital banking and financial inclusion. Journal of Money Laundering Control, 24(1), 150–162.

Jayasekara, S. D. (2014). Determinants of foreign direct investment in Sri Lanka. Journal of the University of Ruhuna, 2(1–2).

Jayasekara, S. D. (2021). How effective are the current global standards in combating money laundering and terrorist financing? Journal of Money Laundering Control, 24(2), 257–267.

Jayasekara, S. D. (2018). Challenges of implementing an effective risk-based supervision on anti-money laundering and countering the financing of terrorism under the 2013 FATF methodology. Journal of Money Laundering Control, 21(4), 601–615.

Jayasekara, S. D. (2022). Administrative model of financial intelligence units: An analysis of effectiveness of the AML/CFT regime. Journal of Money Laundering Control, 25(3), 511–525.