Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award
Associate Professor at Shandong University, China
Dr. Heng-Guo Zhang ๐ is an accomplished Associate Professor at Shandong University, China ๐จ๐ณ, specializing in Big Data and Economic Finance ๐๐ฐ. 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 ๐ฑ๐, 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 ๐๐. 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 ๐๐.
Professional Profileย
๐ 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) ๐งฎ, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) ๐. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University ๐ซ. 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 ๐๐ป.
ย ๐๏ธ Professional Experience
Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) ๐๏ธ. 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 ๐, 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 ๐๐ผ.
๐ฌ Research Interest
Dr. Zhang’s research revolves around Big Data and Economic Finance ๐๐ต. 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 ๐ง ๐. 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 ๐๐.
๐ Awards and Honors
While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) ๐ฐ and his authorship of a 2024 monograph demonstrate significant scholarly achievement ๐. 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 ๐. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future ๐.
๐ ๏ธ Research Skills
Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration ๐๐งฎ. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis ๐ป๐. 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 ๐งโ๐ผ๐ง.
Publications Top Note ๐
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An Adaptive Evolutionary Causal Dynamic Factor Model
โข Authors: Wei Q., Zhang H.โฏG.
โข Year: 2025
โข Source: Mathematics (SCI), 13(11):1891 -
How does newsโdriven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
โข Authors: Zhang H.โฏG., Wang S., Xie Y.
โข Year: 2025
โข Source: The North American Journal of Economics and Finance (SSCI), 76:102353 -
Newsโdriven bubbles in futures markets
โข Authors: Zhang H.โฏG., Li T.
โข Year: 2023
โข Source: Journal of Energy Markets (SCI), 16(2):55โ78 -
Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprisesโ industrial profits in China
โข Authors: Zhang H.โฏG., Wenti Du, Yuchi Xie
โข Year: 2023
โข Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283โ294 -
Faced with COVIDโ19, should the government adopt a free treatment policy? Evidence from China
โข Authors: Zhang H.โฏG.
โข Year: 2022
โข Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87โ100 -
Dynamic measurement of newsโdriven information friction in Chinaโs carbon market: Theory and evidence
โข Authors: Zhang H.โฏG., Tingting Cao, Li H., Xu T.
โข Year: 2021
โข Source: Energy Economics (SCI), 95:104994 -
HighโDimensional Multiple Bubbles Prediction Based on Sparse Constraints
โข Authors: Zhang H.โฏG., Wu L.
โข Year: 2019
โข Source: IEEE Access (SCI), 7:38356โ38368 -
Can onshore spot market progress influence offshore NDF market development for the CNY?
โข Authors: Su C.โฏW., Wang K.โฏH., Zhang H.โฏG., Nian R.
โข Year: 2019
โข Source: Economic Research โ Ekonomska Istraลพivanja (SSCI), 32(1):1621โ1644 -
An online sequential learning nonโparametric valueโatโrisk model for highโdimensional time series
โข Authors: Zhang H.โฏG., Wu L., Song Y., Su C.โฏW., Wang Q., Su F.
โข Year: 2018
โข Source: Cognitive Computation (SCI), 10(2):187โ200 -
Calculating ValueโatโRisk for highโdimensional time series using a nonlinear random mapping model
โข Authors: Zhang H.โฏG., Su C.โฏW., Song Y., Qiu S., Xiao R., Su F.
โข Year: 2017
โข Source: Economic Modelling (SSCI), 67:355โ367 -
Is exchange rate stability beneficial for stabilizing consumer prices in China?
โข Authors: Su C.โฏW., Zhang H.โฏG., Chang H.โฏL., Nian R.
โข Year: 2016
โข Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857โ879
โ Conclusion
Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance ๐๐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award ๐ . 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 ๐๐ผ.