A Revenue Optimization Problem in a Competitive Market
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Date: 03-06-2008
Start Time:
1:00pm
End Time: 2:00pm
Speaker: Shijie Deng, Georgia Institute of Technology
Location: TBA
ABSTRACT
Using a real-option approach, we derive optimal selling strategies
to maximize revenue from selling perishable underlying, including both
products and services, in advance. Different from the extant research
in the literature on revenue management, we take the
competition-varying effects into account in this study, and consider
the market demand affected by the fluctuation of underlying price in a
competitive market. We also show analytically that the maximal profit
margin of unsold underlying decreases in its residual quantity, and
that the optimal premium charged by suppliers averagely decreases when
it gets closer to the end of the selling horizon. Optimal trading
policy is well structured. Numerical examples further characterize the
particular properties of optimally selling the ocean cargo freight
derivatives.
This is joint work with Youyi Feng of the Chinese University of Hong Kong and Xun Li of the National University of Singapore.
BIO
Shi-Jie Deng is an Associate Professor in H. Milton Stewart School
of Industrial and Systems Engineering at the Georgia Institute of
Technology. He holds a Ph.D. in Industrial Engineering and Operations
Research from the University of California at Berkeley. Dr. Deng
actively researches and teaches in financial modeling in energy
markets, electricity transmission pricing, financial asset pricing and
real options valuation, and the procurement and contract theory in
supply chains. He is the director of the Master of Science Program in
Quantitative & Computational Finance at Georgia Tech. He currently
serves as an Associate Editor for Operations Research. He received the
CAREER Award from the National Science Foundation in 2002.
Dr. Deng has consulted with several private and public companies on
issues of energy derivative pricing, structured transactions, and risk
management in the deregulated electricity industry.