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An Analysis of the Impacts of Non-Synchronous Trading On

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Author Info
Silvio John Camilleri (Banking & Finance Dept. - University of Malta)
Christopher J. Green (Economics Dept., - Loughborough University)

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Abstract

The serial correlation effects which non-synchronous trading can induce in financial data have been documented by various researchers. In this paper we investigate non-synchronous trading effects in terms of the predictability that may be induced in the values of stock indices. This analysis is applied to emerging-market data, on the grounds that such markets might be less liquid and thus prone to a higher degree of non- synchronous trading. We use both a daily data set and a higher frequency one, since the latter is a prerequisite for capturing intra-day variations in trading activity. When considering one-minute interval data, we obtain clear evidence of predictability between indices with different degrees of non-synchronous trading. We then propose a simple test to infer whether such predictability is mainly attributable to non- synchronous trading or an actual delayed adjustment on part of traders. The results obtained from an intra-day analysis suggest that the former cause seems a better explanation for the observed predictability. Future research in this area is needed to shed light on the degree of data predictability which may be exclusively attributed to non-synchronous trading, and how empirical results may be influenced by the chosen data frequency.

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Publisher Info
Paper provided by EconWPA in its series Finance with number 0504020.

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Length: 50 pages
Date of creation: 27 Apr 2005
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Handle: RePEc:wpa:wuwpfi:0504020

Note: Type of Document - pdf; pages: 50
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Web page: http://129.3.20.41

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Related research
Keywords: Non-Synchronous Trading; Stock Markets; National Stock Exchange of India; High-Frequency Data.;

Find related papers by JEL classification:
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Silvio John Camilleri, 2005. "Can a Stock Index be Less Efficient than Underlying Shares? An Analysis Using Malta Stock Exchange Data," Finance 0507006, EconWPA. [Downloadable!]
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