Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

• An Adaptive Evolutionary Causal Dynamic Factor Model
  • Authors: Wei Q., Zhang H. G.
  • Year: 2025
  • Source: Mathematics (SCI), 13(11):1891

• How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
  • Authors: Zhang H. G., Wang S., Xie Y.
  • Year: 2025
  • Source: The North American Journal of Economics and Finance (SSCI), 76:102353

• News‑driven bubbles in futures markets
  • Authors: Zhang H. G., Li T.
  • Year: 2023
  • Source: Journal of Energy Markets (SCI), 16(2):55–78

• Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
  • Authors: Zhang H. G., Wenti Du, Yuchi Xie
  • Year: 2023
  • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

• Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
  • Authors: Zhang H. G.
  • Year: 2022
  • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

• Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
  • Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
  • Year: 2021
  • Source: Energy Economics (SCI), 95:104994

• High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
  • Authors: Zhang H. G., Wu L.
  • Year: 2019
  • Source: IEEE Access (SCI), 7:38356–38368

• Can onshore spot market progress influence offshore NDF market development for the CNY?
  • Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
  • Year: 2019
  • Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

• An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
  • Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
  • Year: 2018
  • Source: Cognitive Computation (SCI), 10(2):187–200

• Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
  • Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
  • Year: 2017
  • Source: Economic Modelling (SSCI), 67:355–367

• Is exchange rate stability beneficial for stabilizing consumer prices in China?
  • Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
  • Year: 2016
  • Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.