2003
DOI: 10.1080/1476528032000039749
|View full text |Cite
|
Sign up to set email alerts
|

The Chinese Stock Market: A Casino with 'Buffer Zones'?

Abstract: This paper uses Markov-switching techniques to examine the presence of different market conditions on the Shanghai A-share market since the start of active trading in the mid-1990s. The originality of the paper lies in the identification of three contrasting regimes: a speculative market, a bull market and a bear market. Overall, the 'Casino' character of the Chinese stock market is the main feature that is substantiated by the present paper. However, the bull market regime is always a buffer zone between the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
17
0

Year Published

2005
2005
2021
2021

Publication Types

Select...
7
2
1

Relationship

2
8

Authors

Journals

citations
Cited by 29 publications
(18 citation statements)
references
References 11 publications
1
17
0
Order By: Relevance
“…Their results imply that a sufficiently high frequency must be used since a Markov-switching specification may be rejected for a quarterly frequency but accepted for a monthly frequency. Markov-switching models also provide evidence of regime changes in stock markets-with bull and bear episodes (Girardin and Liu 2003), or in economic activity-with growth cycles (Girardin 2005). They were extended to allow for regime changes in the coefficients of explanatory variables, or even in a vector-autoregressive framework (Krolzig 1997).…”
Section: Detecting Regime Changes In Basket Compositionmentioning
confidence: 99%
“…Their results imply that a sufficiently high frequency must be used since a Markov-switching specification may be rejected for a quarterly frequency but accepted for a monthly frequency. Markov-switching models also provide evidence of regime changes in stock markets-with bull and bear episodes (Girardin and Liu 2003), or in economic activity-with growth cycles (Girardin 2005). They were extended to allow for regime changes in the coefficients of explanatory variables, or even in a vector-autoregressive framework (Krolzig 1997).…”
Section: Detecting Regime Changes In Basket Compositionmentioning
confidence: 99%
“…The results of all tests are robust under different models (M1, M2, and M3) and different correlation metrics, with or without extreme observation exclusion, and under different risk-free interest rates. Our paper is the first to show that Easton, Harris, and Ohlson's (1992) conclusion is also valid in the world's largest emerging market despite market segmentation (Chen, Lee, and Rui, 2001), the "casino perception" of the Chinese stock market in the media and academia (Girardin and Liu, 2003), and corporate governance problems (Fan, Wong, and Zhang, 2007;Jian and Wong, 2010;Jiang, Lee, and Yue, 2010). As pointed out in Section 2.1, R 2 from the OLS regression could mechanically increase as the return interval expands.…”
Section: Five- Two- and One-year Return Interval Resultsmentioning
confidence: 91%
“…They are subjected to herd behaviour and treat the market like a casino without considering the information or fundamentals related to firms (see, e.g. Ma, 1996;Nam et al, 1999;Kang et al, 2002;Girardin and Liu, 2003). The behaviour of these investors has been billed in China as the 'stir-flying stocks' (Kang et al, 2002, p. 246).…”
Section: Notesmentioning
confidence: 98%