Dr CHANG-CHIEH HSIEH | Finacial Engineering | Best Researcher Award |

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Dr. CHANG-CHIEH HSIEH | Finacial Engineering | Best Researcher Award.

Soochow University, Taipei ,Taiwan

Professional Profiles:

SCOPUS

ORCID

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👨‍🎓 Bio Summary:

Dr. Chang-Chieh Hsieh is a distinguished professional in the field of financial engineering, with a robust academic background and extensive industry experience. Currently serving as the Executive Vice President (Quant Head in Front Office) at E. Sun Bank Co., Ltd., he leads innovative quantitative research and development initiatives. Dr. Hsieh has a rich history of teaching and mentoring at Soochow University, coupled with a strong portfolio of published research and contributions to the field.

🎓 Education:

Dr. Hsieh earned his Ph.D. in Economics, majoring in Financial Engineering, from Soochow University in 2014. He also holds a Master’s in Computer Science from National Chengchi University (2021), and both a Master’s and Bachelor’s degree in Financial Engineering and Actuarial Mathematics from Soochow University (2009, 2002 respectively). His academic pursuits have laid a solid foundation in machine learning, deep learning, option pricing, and stochastic processes.

🔍 Research Focus:

Dr. Hsieh’s research primarily revolves around financial engineering, with a particular emphasis on option pricing, trading strategies, high-frequency trading, volatility forecasting, and the application of machine learning and deep learning techniques to financial markets. His work aims to develop sophisticated models and tools to enhance trading efficiency and accuracy.

🏆 Honors & Awards:

Throughout his career, Dr. Hsieh has received recognition for his contributions to financial engineering and quantitative research. He has passed the Financial Risk Manager (FRM) Level 1 exam and completed several high-performance computing and big data training programs, showcasing his commitment to continuous learning and professional development.

Professional Experience: 💼

Dr. Hsieh’s professional journey is marked by significant roles in prominent financial institutions. Since 2017, he has been with E. Sun Bank Co., Ltd., advancing from Assistant Vice President to Executive Vice President. His earlier roles include Manager of the Quantitative Team at Taipei Fubon Commercial Bank, Project Manager at Fubon Futures Corporate Ltd., and various positions in settlement and brokerage departments at Chinatrust Commercial Bank and Bank Sinopac. Additionally, he has served as an adjunct assistant professor at Soochow University, imparting his knowledge in financial engineering and applied economics to graduate students.

 📚 Top Noted Publications :

Empirical Performance of Covered-Call Strategy under Stochastic Volatility in Taiwan

Authors: C.C. Hsieh, C.G. Lin, M. Chen

Citation: Soochow Journal of Economics and Business, 25

Index: 1

Year: 2014

 

Valuation of Callable Range Accrual Linked to CMS Spread under Generalized Swap Market Model

Authors: J.C. He, C.C. Hsieh, Z.W. Huang, S.K. Lin

Citation: International Review of Financial Analysis

Index: 90, 102956

Year: 2023

 

System and Device for Order Splitting Based on Market Prices to Select Optimal Execution Prices for Trading 

Patent: TW Patent M634,528

Year: 2022

Valuation and Real-time Trading System for Derivative Financial Products 

Patent: TW Patent M619,169

Year: 2021

 

Analytic Approximation Formulae for Minimum Rate of Return Guarantees under GARCH

Authors: C.G. Lin, C.C. Hsieh, S. Wang

Citation: Journal of the Chinese Statistical Association

Index: 52 (3), 300-334

Year: 2014

 

Measuring Managerial Efficiency of Chinese and Taiwan Life Insurance Industry

Author: C.C. Hsieh

Author Metrics 📊 : 

Dr. Hsieh’s research contributions are well-regarded in the academic community, with his papers cited by peers in various journals and conferences. His work on pairs trading, stochastic volatility, and GARCH models has been particularly impactful, contributing valuable insights to the field of financial engineering.

📅 Research Timeline:

2004-2005: Started career as a Broker at Yuanta Security.

2005-2008: Settlement Clerk at Bank Sinopac, focusing on treasury department operations.

2008-2011: Settlement Clerk at Chinatrust Commercial Bank, specializing in FX and derivatives settlements.

2014-2015: Project Manager at Fubon Futures Corporate Ltd., leading quantitative trading research.

2015-2017: Manager of the Quantitative Team at Taipei Fubon Commercial Bank, developing derivative pricing models.

2017-2018: Assistant Vice President at E. Sun Bank Co., Ltd., heading quantitative analysis.

2018-2019: Quantitative Developer and Project Manager at Comstar, focusing on interest rate markets.

2019-Present: Progressed through senior roles at E. Sun Bank Co., Ltd., culminating in the position of Executive Vice President.

Dr Jayadevan CM | Econometrics | Best Researcher Award |

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Dr. Jayadevan CM | Econometrics | Best Researcher Award.

University of New England,Australia

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Dr. Jayadevan CM is a highly experienced data analyst and economist with over 16 years of expertise in extracting, interpreting, and presenting extensive datasets to enhance expenditure efficiency. His proficiency in statistical methods, predictive modeling, and data mining has significantly contributed to strategic decision-making in various organizational settings. With a strong educational background and numerous professional certifications, Dr. Jayadevan has authored several influential research papers, highlighting his commitment to advancing knowledge in his field. His work is characterized by keen attention to detail, excellent communication skills, and effective problem-solving abilities, making him a valuable asset in the realm of data analysis and economics.

🎓 Education:

Dr. Jayadevan CM holds a Doctor of Philosophy in Economics from the University of New England, Australia, under the supervision of A/Prof. Nam Hoang and A/Prof. Subba Yarram. He also earned a Doctor of Philosophy in Economics from Jawaharlal Nehru University, supervised by Prof. G.S. Bhalla. He holds a Master of Science in Data Science from Swinburne University of Technology, Australia, and a Bachelor of Science in Mathematics from Charles Sturt University, Australia. Additionally, he earned a Master of Arts in Economics from Calicut University. Dr. Jayadevan has numerous professional certifications, including MCP: Microsoft Azure Data Engineer Associate, MCSA: Microsoft Certified System Associate in SQL Server 2016, MCP: Azure Fundamentals, ORACLE Certified Data Professional, and AWS Certified Database – Specialty.

🔍 Research Focus:

Dr. Jayadevan’s research focuses on applying statistical methods to large datasets, ensuring data accuracy and reliability through quality control measures. He specializes in predictive modeling to forecast trends and outcomes and utilizes data mining methodologies to extract meaningful patterns and insights. His work significantly contributes to strategic decision-making by providing data-driven insights and translating complex data into actionable recommendations for stakeholders. His research interests also include healthcare spending, globalization effects, governance, innovation, economic growth, and urbanization impacts.

🏆 Honors & Awards:

Dr. Jayadevan has received recognition for his extensive contributions to the field of data analysis and economics. His research has been published in various esteemed journals, showcasing his expertise and impact on the field. His certifications and educational achievements further underscore his commitment to professional growth and excellence.

Professional Experience: 💼

Dr. Jayadevan has over 16 years of experience as a data analyst. From January 2022 to March 2024, he served as a Research Fellow at the University of New England, where he worked with large datasets, applied statistical methods, and ensured data accuracy. He played a key role in shaping business strategies based on analytical findings and communicated complex information effectively to both technical and non-technical audiences. Prior to this, he worked as a Senior Data Consultant at Fujitsu Australia Pty Ltd from October 2005 to December 2021. His responsibilities included data gathering, pre-processing, analysis, and visualization, as well as building predictive models and providing actionable insights to stakeholders.

 📚 Top Noted Publications :

Healthcare spending in high-income and upper-middle-income countries: a cross-country analysis

Authors: Jayadevan CM; Nam Trung Hoang

Journal: Discover Health Systems

Year: 2024

DOI: 10.1007/s44250-024-00099-1

 

Spillover effects of globalization using alternative spatial approaches

Authors: CM Jayadevan; Nam Hoang; Subba Yarram

Journal: Applied Economics

Year: 2024

DOI: 10.1080/00036846.2024.2364118

 

Role of Governance in Transition from Middle-Income Trap

Authors: CM Jayadevan; Nam Trung Hoang; Subba Reddy Yarram

Journal: The Singapore Economic Review

Year: 2024

DOI: 10.1142/s0217590824500255

ISSN: 0217-5908, 1793-6837

 

The transition from middle-income trap: role of innovation and economic globalisation

Authors: Jayadevan CM; Nam Trung Hoang; Subba Reddy Yarram

Journal: Applied Economics

Year: 2024

DOI: 10.1080/00036846.2023.2267821

 

Human capital and the middle-income trap revisited

Authors: Jayadevan CM; Nam Trung Hoang; Subba Reddy Yarram

Journal: Applied Economics

Year: 2023

DOI: 10.1080/00036846.2022.2121379

Author Metrics 📊 : 

Dr. Jayadevan’s research has been widely recognized and cited in the academic community. His work has contributed to advancing knowledge in the fields of data analysis and economics, with numerous publications in high-impact journals. His author metrics reflect his influence and the significance of his research contributions.

📅 Research Timeline:

Dr. Jayadevan’s research journey spans over a decade, with continuous contributions to the fields of data analysis and economics. His career began in 2005 at Fujitsu Australia Pty Ltd, where he honed his skills as a data consultant. He later transitioned to academia, serving as a Research Fellow at the University of New England from 2022 to 2024. Throughout his career, he has consistently demonstrated his expertise in handling large datasets, applying statistical methods, and providing actionable insights for strategic decision-making. His extensive research has been instrumental in addressing complex economic and data analysis challenges.