A Model for Optimally Advertising and Launching a Product
成果类型:
Article
署名作者:
Lon, Pui Chan; Zervos, Mihail
署名单位:
University of London; London School Economics & Political Science
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.1110.0487
发表日期:
2011
页码:
363-376
关键词:
singular stochastic-control
linear diffusions
IMPULSE CONTROL
goodwill
POLICY
摘要:
We formulate and solve a problem that combines the features of the so-called monotone follower of singular stochastic control theory with optimal stopping. In particular, we consider a stochastic system whose uncontrolled state dynamics are modelled by a general one-dimensional Ito diffusion. The aim of the problem that we solve is to maximise the utility derived from the system's state at the discretionary time when the system's control is terminated. This objective is reflected by the performance criterion that we maximise, which also penalises control expenditure as well as waiting. The model that we study is motivated by the so-called goodwill problem, a variant of which is concerned with how to optimally raise a new product's image, e. g., through advertising, and with determining the best time to launch the product into the market. In the presence of the rather general assumptions that we make, we fully characterise the optimal strategy, which can take one of three qualitatively different forms, depending on the problem data.
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