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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Do Chinese Industries Predict the Stock Market Due to Slow Diffusion of Information? Analysis of the Shanghai Stock Exchange

Ajid ur Rehman1,  Man Wang2,  Sajal Kabiraj3

1 PhD Research Scholar, School of Accounting, Dongbei University of Finance and Economics, Dalian

2 Professor, School of Accounting, Dongbei University of Finance and Economics, Dalian

3 Professor, International Business School, Dongbei University of Finance and Economics, Dalian

Volume 10
Issue 7
Pages 7–21
Year 2016
Received: Oct. 20, 2015 Accepted: May 20, 2016 Published: July 1, 2016
Abstract

Returns predictability and cross autocorrelations is an important consideration in behavioral finance and is of considerable interest to investors and financial economists. This area gained much attention due to developments in behavioral finance during the last two decades. Previously, lead-lag patterns were supported by argument of rational expectations, however, it lacked much empirical evidence. According to behaviorists' views, it is human inability to process all sorts of information and thus, information moves diffuse slowly from one market to another. In this study, we tested this slow diffusion of information using an extensive set of data over a period from 2004-2013. We found that the market was led by industry returns up to a period of four weeks. This predictive power of industries decreased as the prediction horizon increased. These findings are robust, even if we control for industry size and trading volume. Thus, these findings add considerable support to the slow diffusion of information hypothesis.

Keywords Lead-Lag Pattern Slow Diffusion of Information Shanghai Stock Exchange Chinese Industries
How to Cite

Ajid ur Rehman, Man Wang, Sajal Kabiraj (2016). Do Chinese Industries Predict the Stock Market Due to Slow Diffusion of Information? Analysis of the Shanghai Stock Exchange. Indian Journal of Finance, 10(7), 7–21. https://doi.org/10.17010/ijf/2016/v10i7/97239

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