Design and Pricing of Chinese Contingent Convertible Bonds
Li Ping () and
Liu Jie ()
Additional contact information
Li Ping: Department of Finance, Beihang University, Beijing100083, China
Liu Jie: Department of Finance, Beihang University, Beijing100083, China
Journal of Systems Science and Information, 2014, vol. 2, issue 5, 428-436
Abstract:
The financial crisis since 2007 has highlighted the fragility of the banking system. To address this deficiency, the Basel committee has agreed upon Basel III which consists of reinforcing banks’ capital through new regulatory requirements. Raising additional funds by issuing common equity would lead to a significant cost for banks. Facing the problem, regulators came up with the concept of contingent capital. Contingent convertible (Coco) bonds have been the topic as both a solution to the “too big to fail” problem and a measure by which financial institutions can save themselves. In this paper we first give the introduction of Coco bonds, then present the design of Chinese Coco bonds and pricing Coco bonds through an equity derivative approach as well as sensitivity analysis based on B-S-M hypothesis. Considering that the stock return follows fat-tail distribution, this paper uses Heston stochastic volatility model to price Coco bonds. Finally we give some proposals for developing Coco bonds market in China.
Keywords: contingent convertible (Coco) bonds; barrier option; stochastic volatility model (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/JSSI-2014-0428 (text/html)
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:bpj:jossai:v:2:y:2014:i:5:p:428-436:n:4
DOI: 10.1515/JSSI-2014-0428
Access Statistics for this article
Journal of Systems Science and Information is currently edited by Shouyang Wang
More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().