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Exchange Rate Exposure of Chinese Firms at the Industry and Firm Level

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  • Bo Tang

Abstract

This study investigates the exchange rate exposure of Chinese firms at the industry and firm level based on the conventional capital asset pricing model (CAPM) framework. At the industry level, the dynamic conditional correlation MGARCH (DCC MGARCH) estimates demonstrate that the market model and three-factor model are appropriate for exposure measurements, and industry returns are more likely to be exposed to unanticipated changes in the real exchange rate and the trade-weighted effective exchange rate, particularly for manufacturing industries. At the firm level, although the seemingly unrelated regression (SUR) estimates vary across markets, it is apparent that there is a relationship between firm size and exposure effects, which also show that lagged exchange rate changes have significant exposure effects on firm returns. This study finally suggests that non-financial firms should set up special commissions to hedge currency risks of their future cash flows.

Suggested Citation

  • Bo Tang, 2015. "Exchange Rate Exposure of Chinese Firms at the Industry and Firm Level," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 592-607, August.
    • Handle: RePEc:bla:rdevec:v:19:y:2015:i:3:p:592-607
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    File URL: http://hdl.handle.net/10.1111/rode.12162
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    Cited by:

    1. Vladislav Spitsin & Marina Ryzhkova & Darko Vukovic & Sergey Anokhin, 2020. "Companies profitability under economic instability: evidence from the manufacturing industry in Russia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-20, December.
    2. Juan Carlos Cuestas & Ying Sophie Huang & Bo Tang, 2016. "Does the Yuan's Overseas Expansion Increase the Currency Exposure of Chinese Financial Firms?," Working Papers 2016006, The University of Sheffield, Department of Economics.
    3. Cuestas, Juan Carlos & Huang, Ying Sophie & Tang, Bo, 2018. "Does internationalisation increase exchange rate exposure? -Evidence from Chinese financial firms," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 253-263.
    4. Cuestas Juan Carlos & Tang Bo, 2017. "Asymmetric exchange rate exposure of stock returns: empirical evidence from Chinese industries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-21, September.
    5. Zakiya Begum Sayed & J. Gayathri, 2023. "Factors Determining the Exchange Rate Exposure of Firms: Evidence from India," Business Perspectives and Research, , vol. 11(2), pages 210-226, May.
    6. Van Cauwenberge Annelies & Vancauteren Mark & Braekers Roel & Vandemaele Sigrid, 2022. "The degree of international trade and exchange rate exposure—Firm‐level evidence from two small open economies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3832-3850, October.

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    More about this item

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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