Prior joining the Department of Finance at IBSS in 2022, Dr Hefei Wang was a professor of Finance and director of the Financial Big Data Lab at the Renmin University of China. Dr Wang holds a Ph.D. in Finance from Stanford Graduate School of Business and a masters in Statistics from Stanford University. She has also worked as an assistant professor of Finance at the University of Illinois, Chicago, and served as a visiting Economist at the Federal Reserve Bank of Chicago and a quantitative researcher at China Investment Corporation. Dr Wang’s research interests include theoretical corporate finance, dynamic asset allocation and Financial Big Data. She was co-PI for a number of research grants, including the CME research grant, China National Natural Science Foundation Key Program and Youth Program. She was invited to present her research at top international conferences and institutions including the American Economic Association (AEA) annual meetings, the US Federal Reserves, US Office of the Comptroller of the Currency, Asian Development Bank Institute, etc. She is currently on the board of directors for Pengyang Asset Management Company, the Cambricon Fintech Research Institute and China Society for Industrial and Applied Mathematics (CSIAM) Algorithms and Fintech committee. She has received recognitions from the city of Suzhou including Jinji Lake Leading Talent Award and the Suzhou Industrial Park Excellent Educator Award.
Topic: Information Transmission and Big Data in Finance
Abstract: In this talk, Professor Hefei Wang will introduce research topics in information economics with applications to theoretical corporate finance and market microstructure research. Information economics studies the impact of corporate information disclosure on market efficiency. Researchers investigate the relationship between the level of information disclosure and market reactions, as well as the effects of information disclosure on investor decision-making and asset pricing. Information economics has significant applications in studying topics such as corporate disclosure strategies, price discovery and trading behaviors. Information transmission is at the core of modern finance research. It provides a theoretical framework for understanding how information affects corporate finance decisions and outcomes. By understanding the role of information, researchers develop theories and models that better explain the behavior of firms and investors and can help firms and individuals make better decisions. Professor Wang will give an overview of her research in financial contracting, strategic information transmission and reputation acquisition in analyst recommendations, incentive provisions at financial institutions, information and trading behavior, and more recently, her empirical research on the Chinese financial market and applications of machine learning in finance.
Lecture 4
Speaker: Dr Hefei Wang
Prior joining the Department of Finance at IBSS in 2022, Dr Hefei Wang was a professor of Finance and director of the Financial Big Data Lab at the Renmin University of China. Dr Wang holds a Ph.D. in Finance from Stanford Graduate School of Business and a masters in Statistics from Stanford University. She has also worked as an assistant professor of Finance at the University of Illinois, Chicago, and served as a visiting Economist at the Federal Reserve Bank of Chicago and a quantitative researcher at China Investment Corporation. Dr Wang’s research interests include theoretical corporate finance, dynamic asset allocation and Financial Big Data. She was co-PI for a number of research grants, including the CME research grant, China National Natural Science Foundation Key Program and Youth Program. She was invited to present her research at top international conferences and institutions including the American Economic Association (AEA) annual meetings, the US Federal Reserves, US Office of the Comptroller of the Currency, Asian Development Bank Institute, etc. She is currently on the board of directors for Pengyang Asset Management Company, the Cambricon Fintech Research Institute and China Society for Industrial and Applied Mathematics (CSIAM) Algorithms and Fintech committee. She has received recognitions from the city of Suzhou including Jinji Lake Leading Talent Award and the Suzhou Industrial Park Excellent Educator Award.
Topic: Information Transmission and Big Data in Finance
Abstract: In this talk, Professor Hefei Wang will introduce research topics in information economics with applications to theoretical corporate finance and market microstructure research. Information economics studies the impact of corporate information disclosure on market efficiency. Researchers investigate the relationship between the level of information disclosure and market reactions, as well as the effects of information disclosure on investor decision-making and asset pricing. Information economics has significant applications in studying topics such as corporate disclosure strategies, price discovery and trading behaviors. Information transmission is at the core of modern finance research. It provides a theoretical framework for understanding how information affects corporate finance decisions and outcomes. By understanding the role of information, researchers develop theories and models that better explain the behavior of firms and investors and can help firms and individuals make better decisions. Professor Wang will give an overview of her research in financial contracting, strategic information transmission and reputation acquisition in analyst recommendations, incentive provisions at financial institutions, information and trading behavior, and more recently, her empirical research on the Chinese financial market and applications of machine learning in finance.
Click to watch the Lecture Highlights