Title :
Systemic Jump in Chinese Stock Market
Author_Institution :
Manage. Sch., Tianjin Univ., Tianjin, China
Abstract :
In order to test the existence of systemic jump in returns in Chinese Stock Market, this paper estimated a multivariate stochastic volatility jump-diffusion model, which assumes that returns are affected by both systemic jumps and idiosyncratic jumps. Taking the 50 index of Shanghai and the stocks from different industries of the stock market as an example, through developing Markov Chain Monte Carlo simulation to estimate its parameters and found significant evidence of the existence of systemic jumps. Although systemic jumps are significantly present, the majority of jumps are idiosyncratic. A new perspective that views systemic jump as a part of systemic risk contributes to systemic risk management of financial crisis.
Keywords :
Markov processes; Monte Carlo methods; financial management; parameter estimation; risk management; stock markets; Chinese stock market; Markov Chain Monte Carlo simulation; financial crisis; idiosyncratic jumps; multivariate stochastic volatility jump-diffusion model; parameter estimation; systemic jump; systemic risk management; Indexes; Industries; Markov processes; Mathematical model; Monitoring; Stock markets; Bayesian inference; Markov Chain Monte Carlo; idiosyncratic jump; multivariate stochastic volatility jump diffusion; systemic jump;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7575-9
DOI :
10.1109/BIFE.2010.93