Title
The on-line rental problem with risk and probabilistic forecast
Abstract
This paper proposes a generalized on-line risk-reward model, by introducing the notion of the probabilistic forecast. Using this model, we investigate the on-line rental problem. We design the risk rental algorithms under the basic probability forecast and the geometric distribution probability forecast, respectively. In contrast to the existing competitive analyses of the on-line rental problem, our results are more flexible and can help the investor choosing the optimal algorithm according to his/her own risk tolerance level and probabilistic forecast. Moreover, we also show that this model has a good linkage to the stochastic competitive ratio analysis.
Year
DOI
Venue
2007
10.1007/978-3-540-73814-5_11
FAW
Keywords
Field
DocType
probabilistic forecast,generalized on-line risk-reward model,own risk tolerance level,on-line rental problem,good linkage,risk rental algorithm,existing competitive analysis,basic probability forecast,stochastic competitive ratio analysis,geometric distribution probability forecast,geometric distribution,competitive ratio
Econometrics,Forecast skill,Economics,Probabilistic logic,Geometric distribution,Competitive analysis,Renting
Conference
Volume
ISSN
ISBN
4613
0302-9743
3-540-73813-4
Citations 
PageRank 
References 
2
0.39
8
Authors
3
Name
Order
Citations
PageRank
Yucheng Dong1283199.15
Yinfeng Xu21636108.18
Wei-Jun Xu315414.56