Options Trading Based on the Forecasting of Volatility Direction with the Incorporation of Investor Sentiment
AbstractUsing options price data on the Taiwanese stock market, we propose an options trading strategy based on the forecasting of volatility direction. The forecasting models are constructed with the incorporation of absolute returns, heterogeneous autoregressive-realized volatility (HAR-RV), and proxy of investor sentiment. After we take into consideration the margin-based transaction costs, the results of our simulated trading indicate that a straddle trading strategy that considers the forecasting of volatility direction with the incorporation of market turnover achieves the best Sharpe ratios. Our trading algorithm bridges the gap between options trading, market volatility, and the information content of investor overreaction.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by M.E. Sharpe, Inc. in its journal Emerging Markets Finance and Trade.
Volume (Year): 47 (2011)
Issue (Month): 2 (March)
Contact details of provider:
Web page: http://mesharpe.metapress.com/link.asp?target=journal&id=111024
HAR-RV model; investor sentiment; market turnover; options trading; volatility forecasting;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Nguyen).
If references are entirely missing, you can add them using this form.