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The Frontiers of Society, Science and Technology, 2020, 2(11); doi: 10.25236/FSST.2020.021102.

Reduction of the Hedging Error in the Trinomial Tree Model

Author(s)

Hantao Zhou1, Jiong Huang2, Qianwei Yin3

Corresponding Author:
​Hantao Zhou
Affiliation(s)

1 School of Politics and Economics, King’s College London, London WC2R 2LS, United Kingdom

2 School of Business, Macau University of Science and Technology, Macau, China

3 School of Surveying and Mapping, Wuhan University, Wuhan 430072, China


Abstract

The research problem is how large the replication error is if an investor Delta hedges an European option over many short periods. In the project, the trinomial stock price tree is firstly built to simulate stock price changes. Then, Monte-Carlo approximation is used to put many short-period trinomial tree models together and derive the average hedging errors. The hedging errors become significantly smaller as periods involved in the trinomial tree models pass a certain number. This method can be used to create portfolios with European options.

Keywords

Option pricing, Trinomial tree model, Delta hedging, Replication error

Cite This Paper

Hantao Zhou, Jiong Huang, Qianwei Yin. Reduction of the Hedging Error in the Trinomial Tree Model. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 11: 8-13. https://doi.org/10.25236/FSST.2020.021102.

References

[1] Hull, J, Options (2015). Futures, and Other Derivatives. 9th ed., New Jersey, Pearson.

[2] Deutsch, H (2002). Binomial and Trinomial Trees’. Derivatives and Internal Models.

[3] Kroese, D, T Brereton, T Taimre, Z Botev (2014). Why the Monte Carlo Method is So Important Today. Wiley Interdisciplinary Reviews: Computational Statistics, no.6. pp.12-13.