Dr. Hafiz Muhammad Naveed | Economics, Econometrics and Finance | Best Research Award

Shenzhen University | China

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Early Academic Pursuits

Dr. Hafiz Muhammad Naveed began his academic journey with a Bachelor (Hons) in Economics & Finance from the School of Economics, Islamia University, Bahawalpur (IUB), Pakistan, achieving a CGPA of 3.01/4.00. His dissertation focused on the impact of Foreign Direct Investment on Pakistan's economic growth, indicating an early interest in economic factors affecting national development. He continued his studies with a Master of Philosophy (M.Phil) in Business Administration, specializing in Finance, from the National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan, with a CGPA of 3.5/4.0. His dissertation analyzed the impact of power shortages on capital flight in Pakistan.

Professional Endeavors

Dr. Naveed's teaching career started as a lecturer in Economics at the Punjab Group of Colleges, Fort Abbas Campus, Pakistan, from 2017 to 2019. He later became an English Teacher Assistant (ETA) and a Teaching Management Assistant (TMA) at Jiangsu University, China, from 2019 to 2023. During his tenure at Jiangsu University, he taught various subjects and assisted in writing academic papers for international journals. His excellence in teaching was recognized with an Excellent Teacher Award.

Contributions and Research Focus

Dr. Naveed's research primarily revolves around machine learning, deep learning, financial risk management, green finance, renewable energy, and environmental risk assessment. His PhD dissertation focused on financial system modeling using deep intelligent networks for financial predictions and assessments. He has authored several high-impact research publications, including: assessing the nexus between currency exchange rate returns, currency risk hedging, and international investments using intelligent networks; estimating the influence of the COVID-19 pandemic on financial markets with artificial neural networks; evaluating connectedness between currency risk hedging and firm value through deep neural networks; and analyzing the impact of the Russia-Ukraine War and COVID-19 on stock markets of G20 nations.

Accolades and Recognition

Dr. Naveed has received numerous awards and honors, including the 1st class presidential scholarship every year during his Ph.D. at Jiangsu University, China, due to his outstanding academic performance and social activities.

Impact and Influence

Dr. Naveed's work in integrating advanced computational techniques with financial analysis has significant implications for financial risk management and economic forecasting. His contributions to understanding the impacts of global crises, such as the COVID-19 pandemic and the Russia-Ukraine War, on financial markets have provided valuable insights for policymakers and investors.

Legacy and Future Contributions

Dr. Naveed's ongoing research and forthcoming publications, such as the financial modeling system using deep neural networks for financial risk assessments and green finance analysis, highlight his commitment to advancing the field of financial engineering. His work on sustainable development and environmental quality protection reflects his dedication to addressing global challenges through innovative research.

 

Notable Publications

Assessing the nexus between currency exchange rate returns, currency risk hedging and international investments: Intelligent network-based analysis 2024

The role of environmental knowledge, policies and regulations toward water resource management: A mediated-moderation of attitudes, perception, and sustainable consumption patterns 2024 (1)

Artificial neural network (ANN)-based estimation of the influence of COVID-19 pandemic on dynamic and emerging financial markets 2023 (11)

Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network-based Evaluation 2023 (7)

Factors Making the Change in Current Academic Performance of Business Students at the University Level 2020 (6)

 

Hafiz Muhammad Naveed | Economics, Econometrics and Finance | Best Research Award