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Finance

 

Dmytro Holod

Dmytro Holod's research interests include corporate finance, financial intermediation, and economic growth. Dr. Holod presented his research at numerous academic and practitioner conferences, and his work was published in finance and economics journals, including the Journal of Money, Credit and Banking, the Journal of Banking and Finance, and Financial Management.


Danling Jiang

Danling Jiang’s research involves studying investments, corporate finance, and financial decision making from behavioral approaches.  Her research typically integrates economics, psychology, political science, and sociology into finance. Her work has been published in leading journals spanning the fields of finance, management, accounting, and judgment and decision making. Dr. Jiang serves on the Advisory Council at Financial Analysts Journal and as a reviewer for many journals in finance, economics, management, and psychology as well as various publishers and international funding agencies. She has served as an organizer, discussant, session chair, program or nominating committee member in many conferences and associations. Dr. Jiang won the 2015 "Chang Jiang Scholar" award from the Ministry of Education of China, which is among China’s most prestigious scholarly honors.


Aaron Kim

Aaron Kim's current professional and research interests are in area of mathematical modeling and its application to finance. He is interested in mathematical models having fat-tails, asymmetric dependence, clustering of volatility, and long range dependence, and in financial issues including financial risk management, portfolio management, and derivative pricing. Dr. Kim published dozens of research papers in internationally referred journals and awarded one patent. He is expert in computer programming and shares basic libraries and tools implemented by him.


Stoyan Stoyanov

Stoyan Stoyanov has designed and implemented investment and risk management models for financial institutions, co-developed a patented system for portfolio optimization in the presence of non-normality, and led a team of engineers to implement advanced models for major financial institutions. His research focuses on probability theory, extreme risk modelling and optimal portfolio theory. He has published over thirty articles in journals such as Annals of Operation Research, Journal of Banking and Finance, and the Journal of Portfolio Management, contributed to many professional handbooks, and co-authored four books on probability and stochastic, financial risk assessment and portfolio optimization. 


Gökhan Torna

Gökhan Torna conducts research in financial markets, banking and institutions, and corporate finance.  His dissertation, “Three Essays in Traditional and Nontraditional Banking, and Portfolio Decisions”, concerns the impact of traditional and nontraditional banking activities on bank risk and loan portfolio management.  He has published in Journal of Financial Intermediation, and is working on several manuscripts for academic journals. He has been panelist at various national and international conferences and recipient of outstanding paper award in financial market and institutions by southern finance association.


Keli Xiao

Keli Xiao’s research interests include Big Data Analytics with a focus on business and finance problems, empirical asset pricing, bubbles and crises. He has published research articles in several refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), and IEEE International Conference on Data Mining (ICDM). He is a field editor of Encyclopedia of GIS 2nd Edition (Springer) and an invited reviewer of several refereed journals, such as TKDE, TMIS, and the Knowledge and Information Systems (KAIS) journal. He has served on the organization and program committee of numerous conferences, such as KDD, ICDM, and the SIAM International Conference on Data Mining (SDM). 

 

 

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