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The Dynamic Relations between the World's Leading Computer Companies and Their Corresponding OEM/ODM Firms

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  • Yu, Chih-Hsien
  • Hsu, Ya-June

Abstract

This paper explores the return dynamics between the world's major computer OBM firms and their corresponding OEM/ODM companies in Taiwan. We adopt a systematic multiple hypotheses testing method, the VAR test methodology, to test the dynamic relations. The result shows that there exist strong dynamic relations between the stock returns of the own-brand firms and their corresponding OEM/ODM firms. Specifically, returns of the OBM firms tend to lead those of their corresponding OEM/ODM companies. And the extent of this return lead-lag pattern increases with the closeness of the relationship between those OBM firms and their OEM/ODM partners. This implies that the OBM-OEM/ODM partnership is an important factor in the information set of the investors' trading strategies. In addition to the return dynamics, we also examine the volatility association and spillover effect between returns of these two types of firms. The result indicates a significant spillover effect of the current volatility of the OBM firms on future volatility of their corresponding OEM/ODM firms. Our results imply that the information transmission process between performance of the OBM firms and earnings power of the OEM/ODM companies is not only channeled through the first moment return lead-lag pattern, but also conducted by the second moment volatility spillover effect. Copyright 2002 by Kluwer Academic Publishers

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  • Yu, Chih-Hsien & Hsu, Ya-June, 2002. "The Dynamic Relations between the World's Leading Computer Companies and Their Corresponding OEM/ODM Firms," Review of Quantitative Finance and Accounting, Springer, vol. 19(4), pages 315-333, December.
    • Handle: RePEc:kap:rqfnac:v:19:y:2002:i:4:p:315-33
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    Cited by:

    1. Chen, Mei-Ping & Chen, Wen-Yi & Tseng, Tseng-Chan, 2017. "Co-movements of returns in the health care sectors from the US, UK, and Germany stock markets: Evidence from the continuous wavelet analyses," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 484-498.

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