Monte Carlo Bounds for Game Options Including Convertible Bonds

被引:8
作者
Beveridge, Christopher [1 ]
Joshi, Mark [1 ]
机构
[1] Univ Melbourne, Dept Econ, Ctr Actuarial Studies, Melbourne, Vic 3010, Australia
关键词
finance; asset pricing; games-group decisions; stochastic; probability; stochastic model applications; Monte Carlo simulation; Bermudan optionality; AMERICAN OPTIONS; EARLY-EXERCISE; VALUATION; SIMULATION;
D O I
10.1287/mnsc.1110.1319
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
We introduce two new methods to calculate bounds for zero-sum game options using Monte Carlo simulation. These extend and generalize upper-bound duality results to the case where both parties of a contract have Bermudan optionality. It is shown that the primal-dual simulation method can still be used as a generic way to obtain bounds in the extended framework, and we apply the new results to the pricing of convertible bonds by simulation.
引用
收藏
页码:960 / 974
页数:15
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