Sang Baum Kang
Sang Baum “Solomon” Kang is an assistant professor of finance at Stuart School of Business, Illinois Institute of Technology. He holds a B.S. in Applied Statistics from Yonsei University in Korea, an M.S. in Actuarial Science from the University of Wisconsin at Madison, an M.S. in Computational Finance from Carnegie Mellon University, and a Ph.D. in Finance from McGill University in Canada. Dr. Kang's research focuses on energy finance, real options, commodities, and financial derivatives. He is an author of more than ten refereed scientific publications in various outlets including Energy Economics, the Journal of Energy Markets, Economics Letters, Energy Risk, and Applied Economics Letters. His papers were presented at many conferences including the American Economic Association, the Society of Financial Econometrics, and Federal Deposit Insurance Corporation’s Derivatives and Risk Management Conference. His research in real options and the future of coal-fired electricity plants received media coverage from Risk.Net. His papers received the 2012 FMA Asian Conference Best Paper Award and the 2010 NFA Best PhD Student Paper Award. He taught at McGill University, Korea Advanced Institute of Science and Technology, and Illinois Institute of Technology. He is a Financial Risk Manager certified by Global Association of Risk Professionals. Prior to starting his PhD, Professor Kang worked for nine years in the energy sector doing financial modeling and analysis for commodity traders and risk managers; he assumed managerial positions including Director of Structuring and Pricing at PacifiCorp Energy, a subsidiary of Berkshire Hathaway Energy.
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A new approach to evaluating the cost-efficiency of complex hedging strategies: an application to electricity price–volume quanto contracts
In this paper, the authors propose a new hedging assessment model, the economic value of the incremental expected shortfall (EVIES), from a cost-efficiency perspective.
Pricing fast-responding electric storage assets in the presence of negative prices and price spikes: a simulation-and-regression approach
This study focuses on the use of batteries for real-time power trading and proposes a simulation-and-regression-based valuation model.
This paper looks at the conditions under which a reasonable green policy by a US state encourages the early replacement of existing coal plants with new natural gas plants.