DocumentCode :
3413759
Title :
Analytics and algorithms for geometric average trigger reset options
Author :
Tian-Shyr Dai ; Chen, I-Yuan ; Fang, Yuh-Yuan ; Lyuu, Yuh-Dauh
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2003
fDate :
20-23 March 2003
Firstpage :
55
Lastpage :
62
Abstract :
The geometric average trigger reset option resets the strike price based on the geometric average of the underlying asset´s prices over a monitoring window. This paper derives an analytic formula and two numerical methods for pricing this option with multiple resets. The analytic formula in fact is a corollary of a general formula that holds for a large class of path-dependent options: It prices any option whose payoff function can be written as eb·X1{X∈A}. For general American-style reset options, an O(n4h2)-time algorithm on n-period binomial lattice is presented. A much more efficient O(n3 hm)-time algorithm prices European-style reset options. Monte Carlo simulation suggests that the European-style geometric average trigger reset option and the arithmetic version have similar option values. This implies that results in this paper give tight prices for the difficult arithmetic version.
Keywords :
Monte Carlo methods; computational complexity; costing; financial data processing; stock markets; Monte Carlo simulation; arithmetic version; binomial lattice; complexity; geometric average trigger reset options; monitoring window; numerical methods; option pricing; strike price; Algorithm design and analysis; Arithmetic; Computer science; Computerized monitoring; Finance; Investments; Lattices; Monte Carlo methods; Pricing; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7654-4
Type :
conf
DOI :
10.1109/CIFER.2003.1196242
Filename :
1196242
Link To Document :
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