PRNANAOCJun 28, 2008

Classification of barrier options

arXiv:0806.46761.22 citationsh-index: 8
Originality Synthesis-oriented
AI Analysis

This work provides a practical decision rule for practitioners to simplify barrier option pricing under real-world accuracy constraints.

The paper addresses the problem of determining when a barrier option effectively becomes a simpler option given a specified pricing accuracy, and proposes a probability-based method to find critical stock price values for this classification.

For a given level of accuracy in option prices, the paper considers the problem of deciding when exactly, as one or more of the pricing parameters change, a barrier option degenerates into a simpler type of option. This problem is meaningful in the real world where option prices are always determined within a certain level of accuracy. The problem is reduced to finding certain critical values of the initial stock price, and this is achieved through a probability-based approach.

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