HKUEMS :: Event Details

Seminar on IIM by Ms. Liao Wang (March 23, Thursday)
posted by School of Business for HKU and Public
Event Type: Public Lecture/Forum/Seminar/Workshop/Conference/Symposium
Event Nature: Business & Economics

Event Details

IIM Seminar
School of Business

Topic:
Risk Analytics Approach to Production Planning


Speaker:
Ms. Liao Wang
PhD Candidate
Columbia University


Abstract:
We study production planning integrated with risk hedging to minimize certain specific risk measures such as shortfall. In addition to the one-time production quantity decision, there is a real-time hedging strategy throughout the horizon; and the goal is to minimize the gap between a pre-specified target and the total terminal wealth achieved by both production and hedging. To this end, we model demand as a stochastic process with two random components: in addition to the usual Gaussian component to capture forecast noise, the demand rate takes the form of a function of an asset price (itself being another stochastic process). We do not assume any specific form of this rate function, allowing it to be machine-learned from demand and asset price data. Using a duality based method, we derive the optimal hedging strategy, which can be expressed as a portfolio of two options, a digital option and a put option. With the hedging strategy optimized, we show that optimizing production quantity is a convex minimization problem. With both production and hedging optimized, we provide a complete characterization of the efficient frontier: the minimized shortfall as an increasing function of the target. Other model features include partial information and a budget constraint, both are motivated by practical implementations. A brief overview of two other related projects in risk/business analytics will also be highlighted.

Date/Time23/03/2017 14:30-16:00
VenueKK1301, 13/F., K.K. Leung Building, The University of Hong Kong
LanguageEnglish

Registration Instruction

Registration is not required.

Contact Information

Should you have any enquiries, please feel free to contact Yuki Chan by email at cyuki@hku.hk