A CLOSED-FORM GARCH VALUATION MODEL FOR POWER EXCHANGE OPTIONS WITH COUNTERPARTY RISK. Issue 2 (April 2020)
- Record Type:
- Journal Article
- Title:
- A CLOSED-FORM GARCH VALUATION MODEL FOR POWER EXCHANGE OPTIONS WITH COUNTERPARTY RISK. Issue 2 (April 2020)
- Main Title:
- A CLOSED-FORM GARCH VALUATION MODEL FOR POWER EXCHANGE OPTIONS WITH COUNTERPARTY RISK
- Authors:
- Wang, Xingchun
Xu, Guangli
Li, Dan - Abstract:
- Abstract: In this paper, a discrete-time framework is proposed to value power exchange options with counterparty default risk, where counterparty risk is considered in a reduced-form setting and the variance processes of the underlying assets are captured by GARCH processes. In addition, the proposed model allows for the correlation between the intensity of default and the variances of the underlying assets by breaking down the total risk into systematic and idiosyncratic components. By dint of measure-change techniques and characteristic functions, we obtain the closed-form pricing formula for the value of power exchange options with counterparty default risk. Finally, numerical results are presented to show the power exchange option values.
- Is Part Of:
- Probability in the engineering and informational sciences. Volume 34:Issue 2(2020)
- Journal:
- Probability in the engineering and informational sciences
- Issue:
- Volume 34:Issue 2(2020)
- Issue Display:
- Volume 34, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 34
- Issue:
- 2
- Issue Sort Value:
- 2020-0034-0002-0000
- Page Start:
- 279
- Page End:
- 296
- Publication Date:
- 2020-04
- Subjects:
- default risk, -- GARCH, -- idiosyncratic risk, -- power exchange options, -- systematic risk
G13
Probabilities -- Periodicals
Engineering -- Statistical methods -- Periodicals
Information science -- Statistical methods -- Periodicals
519.202462 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=PES ↗
- DOI:
- 10.1017/S0269964818000530 ↗
- Languages:
- English
- ISSNs:
- 0269-9648
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 14653.xml