Predictive power of web search behavior in five ASEAN stock markets

This paper investigates the predictive ability of web search behavior in connection with stock market returns and trading volume in five emerging economies in the ASEAN region using econometric and signal-processing techniques. More specifically, we use Vector Error Correction Model in conjunction w...

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Main Authors: Imitiaz, M. S. *, Mohd Thas Thaker, Hassanudin *
Format: Article
Published: Elsevier 2020
Subjects:
Online Access:http://eprints.sunway.edu.my/1392/
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author Imitiaz, M. S. *
Mohd Thas Thaker, Hassanudin *
author_facet Imitiaz, M. S. *
Mohd Thas Thaker, Hassanudin *
author_sort Imitiaz, M. S. *
building SU Institutional Repository
collection Online Access
description This paper investigates the predictive ability of web search behavior in connection with stock market returns and trading volume in five emerging economies in the ASEAN region using econometric and signal-processing techniques. More specifically, we use Vector Error Correction Model in conjunction with Wavelet analysis and find consistently low predictive ability of search activity in Google. In fact, investors in nearly all five markets appear to be interested in searching terms related to the market after high returns or high trading activities occur. In other words, high returns or high activities precede search interest. Our findings are at odds with the general results reported in earlier studies conducted in developed countries. Additionally, our analysis in the time-frequency domain detects a two-week lead-lag phenomenon in the association between search behavior and market returns for all markets but the Philippines.
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institution Sunway University
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publishDate 2020
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spelling sunway-13922020-10-07T04:00:16Z http://eprints.sunway.edu.my/1392/ Predictive power of web search behavior in five ASEAN stock markets Imitiaz, M. S. * Mohd Thas Thaker, Hassanudin * HF Commerce This paper investigates the predictive ability of web search behavior in connection with stock market returns and trading volume in five emerging economies in the ASEAN region using econometric and signal-processing techniques. More specifically, we use Vector Error Correction Model in conjunction with Wavelet analysis and find consistently low predictive ability of search activity in Google. In fact, investors in nearly all five markets appear to be interested in searching terms related to the market after high returns or high trading activities occur. In other words, high returns or high activities precede search interest. Our findings are at odds with the general results reported in earlier studies conducted in developed countries. Additionally, our analysis in the time-frequency domain detects a two-week lead-lag phenomenon in the association between search behavior and market returns for all markets but the Philippines. Elsevier 2020-04 Article PeerReviewed Imitiaz, M. S. * and Mohd Thas Thaker, Hassanudin * (2020) Predictive power of web search behavior in five ASEAN stock markets. Research in International Business and Finance, 52. pp. 1-20. ISSN 02755319 http://doi.org/10.1016/j.ribaf.2020.101191 doi:10.1016/j.ribaf.2020.101191
spellingShingle HF Commerce
Imitiaz, M. S. *
Mohd Thas Thaker, Hassanudin *
Predictive power of web search behavior in five ASEAN stock markets
title Predictive power of web search behavior in five ASEAN stock markets
title_full Predictive power of web search behavior in five ASEAN stock markets
title_fullStr Predictive power of web search behavior in five ASEAN stock markets
title_full_unstemmed Predictive power of web search behavior in five ASEAN stock markets
title_short Predictive power of web search behavior in five ASEAN stock markets
title_sort predictive power of web search behavior in five asean stock markets
topic HF Commerce
url http://eprints.sunway.edu.my/1392/
http://eprints.sunway.edu.my/1392/
http://eprints.sunway.edu.my/1392/