Shandong University | China
Dr. Xinxin Wang is a dedicated and aspiring researcher currently pursuing a Ph.D. in Economics at the School of Economics, Shandong University 🎓. She previously earned her Master’s degree in Finance from Central China Normal University. Her academic journey is marked by a keen interest in technological innovation, capital markets, risk management, and economic transition. With a strong publication record and active contributions to scholarly debates, Xinxin is committed to advancing economic research and policy reform in emerging markets.
Professional profile👤
ORCID
Scopus
Strengths for the Awards✨
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Strong Academic Foundation: Xinxin Wang has a solid academic background, holding a master’s degree in finance and currently pursuing a Ph.D. in economics—indicating ongoing commitment to scholarly advancement.
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Robust Research Output: With six peer-reviewed publications in reputable international journals (SCI and Scopus indexed), the candidate has demonstrated consistent research productivity. These works span a wide array of high-impact topics including:
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Interdisciplinary and Applied Focus: Xinxin’s work merges economics with quantitative and computational methodologies, such as machine learning, skew-normal distributions, and kernel density estimation—showcasing a forward-looking and data-driven approach to economic research.
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Policy and Industry Relevance: The research on foreign institutional ownership and corporate innovation directly supports policymaking and enterprise reform, particularly in the context of China’s mixed-ownership economy.
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Innovation in Methodology: The use of advanced econometric and statistical techniques in finance and economics (e.g., copula methods, multi-model machine learning forecasting) reflects methodological innovation, a key criterion for this award.
📚 Education
Dr. Xinxin Wang began her academic career by earning a Master’s degree in Finance from Central China Normal University. 📘 She later advanced to doctoral studies in Economics at Shandong University, where she continues to develop her expertise in applied economic research. Her educational background has provided her with a robust foundation in financial theory, econometrics, and strategic policy research, enabling her to address complex issues in both domestic and global economic contexts.
💼 Experience
Throughout her academic career, Xinxin Wang has engaged in diverse research projects spanning economic transition, financial risk management, and technological innovation. 🔍 Her hands-on involvement in empirical research has enabled her to contribute meaningful insights into both theoretical models and practical policy implications. She has also collaborated with interdisciplinary teams, using advanced quantitative methods and machine learning tools to explore dynamic economic phenomena. Her experience reflects a balanced combination of analytical rigor and real-world applicability.
Xinxin’s research is primarily focused on the reform of state-owned enterprises (SOEs) and technological innovation in emerging economies. 🏭💡 She is particularly interested in understanding how ownership structures—such as private versus state-held enterprises—influence innovation outputs and governance mechanisms. Additionally, she explores how financial instruments and risk management strategies can be optimized using advanced statistical and machine learning methods to support economic growth and stability.
🏆 Awards
Although still early in her research career, Xinxin Wang has demonstrated exceptional potential and scholarly contribution across interdisciplinary fields. Her impactful studies on risk management and institutional ownership in emerging markets position her as a strong contender for the Best Researcher Award 🏅. Her ongoing doctoral research continues to shape perspectives on innovation, governance, and policy reform in the Chinese economic landscape.
📄 Publications
Xinxin Wang has published six peer-reviewed research papers in renowned journals, cited for their innovation and analytical depth. Her publication record spans topics from machine learning in finance to exchange rate risk hedging:
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Foreign institutional ownership and corporate innovation in emerging economies – Journal of Evolutionary Economics, 2025. Cited by 12 articles.
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RMB exchange rate forecasting using machine learning methods: Can multi-model select powerful predictors? – 2024, Vol. 43(3), pp. 644–660. Cited by 9 articles.
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The effects of skewness on hedging decisions: An application of the skew-normal distribution in WTI and Brent futures – Economic Research-Ekonomska Istraživanja, 2021, Vol. 35(1), pp. 3099–3118. Cited by 15 articles.
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Optimal futures hedging strategies based on an improved kernel density estimation method – Soft Computing, 2021, Vol. 25(23), pp. 14769–14783. Cited by 10 articles.
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Methanol futures hedging with skewed normal distribution by copula method – International Journal of Computer Mathematics, 2020, Vol. 98(7), pp. 1327–1348. Cited by 8 articles.
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Hedging the exchange rate risk for international portfolios – Mathematics and Computers in Simulation, 2020, Vol. 173, pp. 85–104. Cited by 14 articles.
🧾 Conclusion
Driven by a passion for research and a commitment to academic excellence, Xinxin Wang exemplifies the qualities of a forward-thinking economist. 📊 Her contributions to the understanding of corporate innovation and financial risk management in transitional economies are already gaining recognition within the academic community. Her ongoing work promises to deliver meaningful impacts for both policy-makers and industry stakeholders. Xinxin is a highly deserving nominee for the Best Researcher Award and continues to be a rising star in the field of economics.
