Stochastic volatility vs. jump diffusions: Evidence from the Chinese convertible bond market

Chenxi Fan, Xingguo Luo and Qingbiao Wu

International Review of Economics & Finance, 2017, vol. 49, issue C, 1-16

Abstract: In this paper, we compare three convertible pricing models, including the constant volatility model, the stochastic volatility model and the jump-diffusion model, by using Chinese convertible bond data from 2002 to 2013. In particular, we conduct both in-sample and out-of-sample tests to evaluate these models. We find that the stochastic volatility model performs better than the other two in terms of in-sample fitting, with relative errors 91% (85%) smaller than those for the constant volatility (jump-diffusion) model. Besides, the out-of-sample forecasts also support evidence on stochastic volatility for some bonds, with error reduction as large as 46%.

Keywords: Convertible bond pricing; Chinese market; Stochastic volatility; Jump diffusions; Monte Carlo simulation (search for similar items in EconPapers)
JEL-codes: G10 G13 G17 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:49:y:2017:i:c:p:1-16

DOI: 10.1016/j.iref.2016.04.009

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