Study on Warrant Application under GARCH-Mote Carlo Algorithm
Authors
Ruiyi Liu, Zengwen Liu, Fengxia Wang
Corresponding Author
Ruiyi Liu
Available Online November 2015.
- DOI
- 10.2991/ssemse-15.2015.273How to use a DOI?
- Keywords
- GARCH Model; Monte Carlo Algorithm; European Option; Option Pricing
- Abstract
In this paper, the GARCH (1,1) model is used for data modeling and forecasting. The GARCH (1,1) model is combined with the Mote Carlo (MC) algorithm to study European option pricing. The differences between the model data and the observed data are calculated by the GARCH-MC model. The GARCH-MC model is adjusted according to the differences to forecast the option prices. The GARCH-MC model is tested by the SGCOC and the SIC warrants. It is concluded that the variation trend of the model data and the observe data are coincident. The GARCH-MC model can be used to forecast accurately the option prices after adjusting.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ruiyi Liu AU - Zengwen Liu AU - Fengxia Wang PY - 2015/11 DA - 2015/11 TI - Study on Warrant Application under GARCH-Mote Carlo Algorithm BT - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education PB - Atlantis Press SP - 1061 EP - 1064 SN - 2352-5398 UR - https://doi.org/10.2991/ssemse-15.2015.273 DO - 10.2991/ssemse-15.2015.273 ID - Liu2015/11 ER -