Option Pricing for TGARCH-M with GED Based on Improved EEMD
Tingfeng Jiang and
Qiuling Hua
Emerging Markets Finance and Trade, 2019, vol. 55, issue 13, 2929-2948
Abstract:
Although option pricing plays an important role in risk management and investments, accurately pricing options remains challenging because of the increasingly complicated fluctuations in asset price processes. This article proposes a new option pricing model, the threshold GARCH with generalized error distribution (TGARCH-M with GED), based on an improved EEMD. By considering three key factors in the option pricing framework: different frequency risks, information asymmetry and non-normality, we show this novel model can capture more volatility features. Furthermore, the empirical results indicate we obtain better parameter estimation results and fewer pricing errors through comparative analysis. Our research provides meaningful guidance and new insights in the fields of risk management and investment.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2018.1561365 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:55:y:2019:i:13:p:2929-2948
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
DOI: 10.1080/1540496X.2018.1561365
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().