Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Analysis of Chinese Stock Market's Characteristics: Applying Time-Varying Cointegration ModelAnalysis of Chinese Stock Market's Characteristics: Applying Time-Varying Cointegration Model

Other Titles
Analysis of Chinese Stock Market's Characteristics: Applying Time-Varying Cointegration Model
Authors
이종찬윤종철제상영
Issue Date
2016
Publisher
한국자료분석학회
Keywords
HuGangTong; Time-varying Cointegration; Instability; Arbitrage; Released restriction.
Citation
Journal of The Korean Data Analysis Society, v.18, no.5, pp.2375 - 2380
Indexed
KCI
Journal Title
Journal of The Korean Data Analysis Society
Volume
18
Number
5
Start Page
2375
End Page
2380
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/91321
ISSN
1229-2354
Abstract
At the beginning of 2015, many economists concern about unstable stock markets in China. While shocks of the financial crisis in 2008 remain, they warn a new financial shock in China. ‘HuGangTong’ permits trade beyond market barriers which is established in 2014. Despite of imperfect sources of crisis, stock and real economy in China is separated. Moreover there are different limitations among similar markets. We apply a time-varying cointegration method focused on two similar markets. The model replaces eigenvector of traditional vector error correction model on time-varying Chevyshev polynomial. Its advantage is in likelihood ratio function which has higher power due to Chevyshev polynomial against fourier time smoothing function suggested by Park, Hahn (1999). The A-shares market is more affected by HuGangTong. But there is almost no impacts of HuGangTong in the B-shares market. The result implies that instability in the Chinese stock market can be interpreted as an increase in speculative liquidity.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Economics and Statistics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jei, Sang Young photo

Jei, Sang Young
경제통계학과
Read more

Altmetrics

Total Views & Downloads

BROWSE