Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Huimin | en_US |
dc.contributor.author | Gao, Cheng | en_US |
dc.contributor.author | Lu, Jie | en_US |
dc.contributor.author | Mizrach, Bruce | en_US |
dc.date.accessioned | 2014-12-08T15:33:16Z | - |
dc.date.available | 2014-12-08T15:33:16Z | - |
dc.date.issued | 2013-08-01 | en_US |
dc.identifier.issn | 0264-9993 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.econmod.2012.11.055 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/23155 | - |
dc.description.abstract | This paper investigates the market microstructure of the Shanghai and Shenzhen Stock Exchanges. The two major Chinese stock markets are pure order-driven trading mechanisms without market makers, and we analyze empirically both limit order books. We begin our empirical modeling using the vector autoregressive model of Hasbrouck and extend the model to incorporate other information in the limit order book. We also study the market impact on A shares, B shares and H shares, and analyze how the market impact of stocks varies cross sectionally with market capitalization, tick frequencies, and turnover. Furthermore, we find that market impact is increasing in trade size. Order imbalances predict the next day's returns, with small order imbalances having a negative effect. (C) 2012 Elsevier B.V. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Limit order book | en_US |
dc.subject | Chinese stock market | en_US |
dc.subject | Microstructure | en_US |
dc.subject | VAR model | en_US |
dc.title | An empirical analysis of the Shanghai and Shenzhen limit order books | en_US |
dc.type | Article; Proceedings Paper | en_US |
dc.identifier.doi | 10.1016/j.econmod.2012.11.055 | en_US |
dc.identifier.journal | ECONOMIC MODELLING | en_US |
dc.citation.volume | 34 | en_US |
dc.citation.issue | en_US | |
dc.citation.spage | 37 | en_US |
dc.citation.epage | 41 | en_US |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000327000600005 | - |
Appears in Collections: | Conferences Paper |
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