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ANALYSIS OF INCOMPLETE STOCK MARKET WITH JUMP-DIFFUSION UNCERTAINTY
引用本文:Xiuli Chao(Department of Industrial Engineering and Interdisciplinary Operations Research Programs North Carolina State University Raleigh,NC 27695-7906,USA)Indrajit Bardhan (Goldman Sachs & Company 85 Broad Street,New York,NY 10004,USA). ANALYSIS OF INCOMPLETE STOCK MARKET WITH JUMP-DIFFUSION UNCERTAINTY[J]. 系统科学与复杂性, 2002, 0(4)
作者姓名:Xiuli Chao(Department of Industrial Engineering and Interdisciplinary Operations Research Programs North Carolina State University Raleigh  NC 27695-7906  USA)Indrajit Bardhan (Goldman Sachs & Company 85 Broad Street  New York  NY 10004  USA)
作者单位:Xiuli Chao(Department of Industrial Engineering and Interdisciplinary Operations Research Programs North Carolina State University Raleigh,NC 27695-7906,USA)Indrajit Bardhan (Goldman Sachs & Company 85 Broad Street,New York,NY 10004,USA)
基金项目:This research is partially supported by NSF under DMI-9908294 and DMI-0196084.
摘    要:This paper studies incomplete stock market that includes discontinuous price processes. The discontinuity is modeled by very general point processes admitting only stochastic intensities. Prices are driven by jump-diffusion uncertainty and have random but predictable jumps. The space of risk-neutral measures that are associated with the market is identified and related to fictitious completions. The construction of replicating portfolios is discussed, and convex duality methods are used to prove existence of optimal consumption and investment policies for a problem of utility maximization.


ANALYSIS OF INCOMPLETE STOCK MARKET WITH JUMP-DIFFUSION UNCERTAINTY
Xiuli Chao. ANALYSIS OF INCOMPLETE STOCK MARKET WITH JUMP-DIFFUSION UNCERTAINTY[J]. Journal of Systems Science and Complexity, 2002, 0(4)
Authors:Xiuli Chao
Abstract:This paper studies incomplete stock market that includes discontinuous price processes. The discontinuity is modeled by very general point processes admitting only stochastic intensities. Prices are driven by jump-diffusion uncertainty and have random but predictable jumps. The space of risk-neutral measures that are associated with the market is identified and related to fictitious completions. The construction of replicating portfolios is discussed, and convex duality methods are used to prove existence of optimal consumption and investment policies for a problem of utility maximization.
Keywords:Incomplete market   jump-diffusion process   point processes   stochastic intensity   risk-neutral measure   change of measure   and utility maximization.
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