Dynamic option hedging with transaction costs: A stochastic model predictive control approach. (6th September 2017)
- Record Type:
- Journal Article
- Title:
- Dynamic option hedging with transaction costs: A stochastic model predictive control approach. (6th September 2017)
- Main Title:
- Dynamic option hedging with transaction costs: A stochastic model predictive control approach
- Authors:
- Graf Plessen, Mogens
Puglia, Laura
Gabbriellini, Tommaso
Bemporad, Alberto - Other Names:
- Quevedo Daniel E. guestEditor.
Chatterjee Debasish guestEditor. - Abstract:
- Summary: This paper proposes stochastic model predictive control as a tool for hedging derivative contracts (such as plain vanilla and exotic options) in the presence of transaction costs. The methodology combines stochastic scenario generation for the prediction of asset prices at the next rebalancing interval with the minimization of a stochastic measure of the predicted hedging error. We consider 3 different measures to minimize in order to optimally rebalance the replicating portfolio: a trade‐off between variance and expected value of hedging error, conditional value at risk, and the largest predicted hedging error. The resulting optimization problems require solving at each trading instant a quadratic program, a linear program, and a (smaller‐scale) linear program, respectively. These can be combined with 3 different scenario generation schemes: the lognormal stock model with parameters recursively identified from data, an identification method based on support vector regression, and a simpler scheme based on perturbation noise. The hedging performance obtained by the proposed stochastic model predictive control strategies is illustrated on real‐world data drawn from the NASDAQ‐100 composite, evaluated for a European call and a barrier option, and compared with delta hedging.
- Is Part Of:
- International journal of robust and nonlinear control. Volume 29:Number 15(2019)
- Journal:
- International journal of robust and nonlinear control
- Issue:
- Volume 29:Number 15(2019)
- Issue Display:
- Volume 29, Issue 15 (2019)
- Year:
- 2019
- Volume:
- 29
- Issue:
- 15
- Issue Sort Value:
- 2019-0029-0015-0000
- Page Start:
- 5058
- Page End:
- 5077
- Publication Date:
- 2017-09-06
- Subjects:
- financial options -- hedging techniques -- scenario generation -- stochastic model predictive control -- stochastic programming -- transaction costs
Automatic control -- Periodicals
Control theory -- Periodicals
Nonlinear systems -- Periodicals
629.836 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/rnc.3915 ↗
- Languages:
- English
- ISSNs:
- 1049-8923
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.538900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11608.xml