Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression

Johnny Siu-Hang Li, Andrew C.Y. Ng and Wai-Sum Chan

International Review of Economics & Finance, 2015, vol. 40, issue C, 217-230

Abstract: The Shanghai Stock Exchange and the Shenzhen Stock Exchange have grown remarkably since their inception 20years ago. Many of the investors in these two markets are asset management firms or pension funds, some of which may offer guaranteed returns to their clients. To these investors, modeling and managing the risk associated with their equity investments are highly important. In this paper, we use a multivariate threshold autoregressive (TAR) process to model the non-linear relationship between the two markets. This model may help fund managers better plan or execute their risk management decisions, as it captures the difference in investment return behavior when one market significantly out- or under-performs the other. We also contribute a risk-neutral version of the multivariate TAR model to the literature. This contribution permits one to price exotic options written on multiple stock indexes, and consequently helps fund managers calculate the cost of an option-based risk management strategy for funds involving the two Chinese markets.

Keywords: Threshold autoregression; Risk-neutral valuation; Multivariate time-series (search for similar items in EconPapers)
JEL-codes: C58 G11 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:40:y:2015:i:c:p:217-230

DOI: 10.1016/j.iref.2015.02.022

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