Yi Hu | Finance | Young Scientist Award

Young Scientist Award

Yi Hu
S.P. Jain London School of Management, United Kingdom

Yi Hu
Affiliation S.P. Jain London School of Management
Country United Kingdom
Scopus ID 59168795400
Documents 3
Citations 5
h-index 2
Subject Area Finance
Event International Popular Scientist Awards
ORCID 0009-0009-7170-3743

Yi Hu is a researcher in the field of finance whose indexed scholarly record includes research examining the relationship between political uncertainty, corporate social responsibility, stakeholder relations, and firm performance. The available Scopus profile records 3 documents, 5 citations, and an h-index of 2. The researcher is associated in the supplied award profile with S.P. Jain London School of Management in the United Kingdom. The Scopus author information also identifies an ORCID record and an affiliation connection with Henley Business School, Reading, United Kingdom. [1]

Abstract

Yi Hu’s research profile is situated within finance and related areas of corporate and sustainable finance. The available publication record identifies research addressing how political uncertainty interacts with corporate social responsibility and firm performance. In a 2025 article published in The British Accounting Review, Hu and Chao Yin examine whether firms with stronger corporate social responsibility ratings experience different stock-return outcomes during periods of political uncertainty.[2][3]

Keywords

Yi Hu; Finance; Corporate Finance; Corporate Social Responsibility; Political Uncertainty; Firm Performance; Stakeholder Relations; Stock Price; Sustainable Finance; Financial Markets.

Introduction

Research in finance increasingly considers how firms respond to uncertainty originating outside conventional market and operational risks. Political uncertainty is one such factor because elections, policy expectations, and institutional developments can affect corporate investment, financing conditions, valuation, and investor expectations. The research associated with Yi Hu considers this broader problem through the perspective of corporate social responsibility and firm performance. [2]

Research Profile

The supplied Scopus author information identifies Yi Hu with Scopus Author ID 59168795400. The profile records 3 documents, 5 citations, and an h-index of 2. It also lists one preprint and one co-author within the available profile information. [1][3]

Research Contributions

Hu’s documented research contribution concerns the relationship between political uncertainty and firm outcomes, with corporate social responsibility considered as a potentially important firm-level characteristic. The study by Hu and Yin reports that firms with higher CSR ratings experienced superior stock returns relative to firms with lower ratings during periods of political uncertainty. The reported relationship was particularly pronounced in closely contested elections. [2]

Publications

The available profile identifies three indexed documents for Yi Hu. One publication visible in the supplied record is the open-access article Reprint of: Political uncertainty, corporate social responsibility, and firm performance, co-authored with Chao Yin and published in The British Accounting Review, volume 57, issue 1, in 2025. The article is identified as article 101566 and spans 23 pages in the University of Edinburgh research record. [2] [3]

Research Impact

The supplied Scopus profile records 5 citations across 3 indexed documents and an h-index of 2. [1] These indicators provide bibliometric context for the current stage of the researcher’s publication record but should not be interpreted as a comprehensive measure of research quality or significance.

Award Suitability

The Young Scientist Award within the International Popular Scientist Awards is intended to recognize researchers demonstrating emerging scholarly achievement, research activity, and potential for continued contribution. Based on the supplied academic profile, Yi Hu’s documented work in finance and corporate social responsibility provides a relevant scholarly basis for consideration.

Conclusion

Yi Hu’s available scholarly profile reflects an emerging research record in finance, with documented work connecting corporate social responsibility, political uncertainty, stakeholder relationships, and firm performance. The supplied Scopus information records 3 documents, 5 citations, and an h-index of 2. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Hu, Yi, Author ID 59168795400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59168795400
  2. Hu, Y., & Yin, C. (2025). Reprint of: Political uncertainty, corporate social responsibility, and firm performance. The British Accounting Review.
    DOI: 10.1016/j.bar.2025.101566
  3. University of Edinburgh. (2025). Reprint of: Political uncertainty, corporate social responsibility, and firm performance — Research Explorer record.
  4. Elsevier. (2024). Withdrawal notice to: Political Uncertainty, Corporate Social Responsibility, and Firm Performance. The British Accounting Review, 56(6), 101544.
    https://doi.org/10.1016/j.bar.2024.101544

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/

Shah Mehmood Wagan | Management | Excellence in Innovation Award

Dr. Shah Mehmood Wagan | Management | Excellence in Innovation Award

Sichuan University | China

Dr. Shah Mehmood Wagan is an interdisciplinary researcher specializing in green innovation, sustainability, digital transformation, and artificial intelligence within business and economic systems. His work integrates advanced quantitative and qualitative methodologies, including econometrics, structural equation modeling, and AI-driven analytics to address complex organizational and environmental challenges. He has contributed through multiple peer-reviewed publications, with citation metrics reflecting 13 documents, 2 citations, and an h-index of 1. With experience in academic teaching, editorial roles, and international research collaboration, his approach emphasizes data-driven decision-making, methodological rigor, and practical impact, advancing research at the intersection of technology, sustainability, and business strategy.

Citation Metrics (Scopus)

16

12

8

4

0

Citations
2

Documents
13

h-index
1

🟦 Citations    🟥 Documents    🟩 h-index


View Scopus Profile
    View Orcid Profile
   View Google Scholar Profile

Featured Publications