PHD at Jiangsu University, China
Dr. Hafiz Muhammad Naveed is a postdoctoral researcher at the College of Management, Shenzhen University, China. He earned his Ph.D. in Management Sciences and Engineering with a specialization in Finance from Jiangsu University. His research focuses on applying advanced machine learning and deep learning techniques to financial risk management, green finance, and environmental risk assessment. Dr. Naveed’s work has been published in prestigious journals indexed in SSCI, SCIE, and ESCI. He has a strong background in financial predictions and economic modeling, contributing significantly to understanding currency exchange rate dynamics, commodity markets, and the impacts of global events on financial systems.
Professional Profiles
Academic Background
2019-2023 Postdoctoral Researcher Focus: Machine learning, Deep learning, Financial Risk Management, Green finance, renewable energy, environmental risk assessment College of Management, Shenzhen University, Guangdong, China 2019-2023 PhD in Management Sciences and Engineering (specialization in Finance) CGPA: 3.6/4.0 School of Finance and Economics, Jiangsu University, China Dissertation: Financial System Modeling Using Deep Intelligent Networks for Financial Predictions and Assessments Major Courses: Management research methodology Multivariate statistical analysis Econometric model of economics and management Frontier of management theory Financial preface Advanced industrial economics Overview of China & Integrated Chinese level-3 2015-2017 Master of Philosophy (M. Phil) in Business Administration (Specialization in Finance) CGPA: 3.5/4.00 School of Management Sciences, National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan Dissertation: The Impact of Power Shortages on Capital Flight of Pakistan Major Courses:
Professional Experience
2017-2019 Lecturer in Economics Punjab Group of Colleges (Fort Abbas Campus), Pakistan 2019-2023 English Teacher Assistant (ETA) Graduate School, Jiangsu University, China Courses Taught: Writing academic papers for international journals: Strategy and skills Achievement: Excellent Teacher Award 2019-2023 Teaching Management Assistant (TMA) Overseas Education College (OEC), Jiangsu University, China
Awards and Honors
Received 1st class presidential scholarship every year during Ph.D. duration based on academic performances and social activities
Research Focus
Dr. Hafiz Muhammad Naveed’s research primarily focuses on the application of advanced machine learning and deep learning techniques in financial risk management and economic modeling. His work encompasses various domains such as financial predictions, environmental risk assessment, and the impact of global events like the COVID-19 pandemic and geopolitical conflicts on financial markets. He has made significant contributions to understanding currency exchange rate dynamics, commodity market behavior, and the efficiency of stock markets. His research is well-recognized, with publications in high-impact journals indexed in SSCI, SCIE, and ESCI, showcasing his expertise in integrating intelligent networks and neural network-based analyses into financial and economic studies.
Publications
- Assessing the nexus between currency exchange rate returns, currency risk hedging and international investments: Intelligent network-based analysis, Publication date: 2024.
- Influence of the Russia–Ukraine War and COVID-19 Pandemic on the Efficiency and Herding Behavior of Stock Markets: Evidence from G20 Nations, Publication date: 2024.
- Electricity shortfalls and financial leverage of listed firms in Pakistan, Publication date: 2024.
- Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysis, Publication date: 2024.
- Influence of the Russia–Ukraine War and COVID-19 Pandemic on the Efficiency and Herding Behavior of Stock Markets: Evidence from G20 Nations, Publication date: 2024.
- The role of environmental knowledge, policies and regulations toward water resource management: A mediated‐moderation of attitudes, perception, and sustainable consumption patterns, Publication date: 2024.
- Artificial neural network (ANN)-based estimation of the influence of COVID-19 pandemic on dynamic and emerging financial markets, Publication date: 2023.
- Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network‑based Evaluation, Publication date: 2023.
- Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets, Publication date: 2022.
- Evaluation Optimal Prediction Performance of MLMs on High-volatile Financial Market Data, Publication date: 2022.
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