IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v21y2017i4p21n4.html
   My bibliography  Save this article

Asymmetric exchange rate exposure of stock returns: empirical evidence from Chinese industries

Author

Listed:
  • Cuestas Juan Carlos

    (Economics and Research Department, Eesti Pank (Bank of Estonia), Tallinn, Harjumaa, Estonia)

  • Tang Bo

    (Strategic Development Department, Weichai Power Co., Ltd, Weifang, Shandong, China)

Abstract

This study explores the asymmetric exchange rate exposure of stock returns building upon the capital asset pricing model (CAPM) framework, using monthly returns of Chinese industry indices. We are interested in estimating long run and short run relationships as well as asymmetric effects. In order to do so, we estimate nonlinear autoregressive distributed lags models to (1) obtain the long run or cointegrated effects and dynamics, (2) be able to mix I(1) and I(0) variables and (3) to split the effect of positive and negative changes in the variables, i.e. asymmetries. In accordance with the existing literature, industry returns are subject to lagged exposure effects, but the asymmetries vary across industries, which could be due to the discrepancies in, amongst others, trade balance and ownership of certain industries. Furthermore, the dynamic multipliers depict that industry returns quickly respond to changes in the exchange rate and correct the disequilibrium within a short time, making the long run exposure to be symmetric or very small. The remaining shocks are mainly explained by the return of market portfolios. This implies that the ongoing restrictions on the RMB daily trading band do indeed protect the Chinese stock market against the effects of currency movements.

Suggested Citation

  • 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.
  • Handle: RePEc:bpj:sndecm:v:21:y:2017:i:4:p:21:n:4
    DOI: 10.1515/snde-2016-0042
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/snde-2016-0042
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/snde-2016-0042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Nieh, Chien-Chung & Lee, Cheng-Few, 2001. "Dynamic relationship between stock prices and exchange rates for G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 41(4), pages 477-490.
    3. Richard A. Ajayi & Mbodja Mougouė, 1996. "On The Dynamic Relation Between Stock Prices And Exchange Rates," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(2), pages 193-207, June.
    4. Walid, Chkili & Chaker, Aloui & Masood, Omar & Fry, John, 2011. "Stock market volatility and exchange rates in emerging countries: A Markov-state switching approach," Emerging Markets Review, Elsevier, vol. 12(3), pages 272-292, September.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Apergis, Nicholas & Rezitis, Anthony, 2001. "Asymmetric Cross-Market Volatility Spillovers: Evidence from Daily Data on Equity and Foreign Exchange Markets," Manchester School, University of Manchester, vol. 69(0), pages 81-96, Supplemen.
    7. Zhao, Hua, 2010. "Dynamic relationship between exchange rate and stock price: Evidence from China," Research in International Business and Finance, Elsevier, vol. 24(2), pages 103-112, June.
    8. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    9. Nicholas Apergis & Anthony Rezitis, 2001. "Asymmetric Cross‐market Volatility Spillovers: Evidence from Daily Data on Equity and Foreign Exchange Markets," Manchester School, University of Manchester, vol. 69(s1), pages 81-96.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tian, Maoxi & El Khoury, Rim & Alshater, Muneer M., 2023. "The nonlinear and negative tail dependence and risk spillovers between foreign exchange and stock markets in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    2. Afees A. Salisu & Kazeem Isah & Nnenna Ogbonnaya‐Orji, 2022. "A firm level analysis of asymmetric response of U.S. stock returns to exchange rate movements," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1220-1239, January.
    3. Bo Tang, 2019. "Does the currency exposure affect stock returns of Chinese automobile firms?," Empirical Economics, Springer, vol. 57(1), pages 53-77, July.
    4. Salisu, Afees A., 2019. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Finance Research Letters, Elsevier, vol. 28(C), pages 343-347.
    5. Bahmani-Oskooee, Mohsen & Saha, Sujata, 2016. "Do exchange rate changes have symmetric or asymmetric effects on stock prices?," Global Finance Journal, Elsevier, vol. 31(C), pages 57-72.
    6. Andrew Phiri, 2020. "Structural changes in exchange rate-stock returns dynamics in South Africa: examining the role of crisis and new trading platform," Economic Change and Restructuring, Springer, vol. 53(1), pages 171-193, February.
    7. 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.
    8. Muhammad Kamran Khan & Jian‐Zhou Teng & Muhammad Imran Khan & Muhammad Fayaz Khan, 2023. "Stock market reaction to macroeconomic variables: An assessment with dynamic autoregressive distributed lag simulations," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2436-2448, July.
    9. İbrahim Ethem Güney & Abdullah Kazdal & Doruk Küçüksaraç & Muhammed Hasan Yılmaz, 2021. "Exchange Rate Sensitivity of Firm Value: Evidence from Nonfinancial Firms Listed on Borsa Istanbul," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 141-165, Springer.
    10. Cuestas, Juan Carlos & Huang, Ying & Tang, Bo, 2016. "Does the Yuan’s Overseas Expansion Increase the Currency Exposure of Chinese Financial Firms?," MPRA Paper 70921, University Library of Munich, Germany.
    11. Siew-Pong Cheah & Thian-Hee Yiew & Cheong-Fatt Ng, 2017. "A nonlinear ARDL analysis on the relation between stock price and exchange rate in Malaysia," Economics Bulletin, AccessEcon, vol. 37(1), pages 336-346.
    12. Dhaoui Abderrazak & Chevallier Julien & Ma Feng, 2021. "Identifying asymmetric responses of sectoral equities to oil price shocks in a NARDL model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-19, April.
    13. Lateef O. Akanni & Kazeem Isah, 2018. "Exchange Rate Movements on Sectoral Stock Prices of Nigerian Firms: Is there Evidence of Asymmetry?," Working Papers 046, Centre for Econometric and Allied Research, University of Ibadan.
    14. Gözde YILDIRIM, Zafer ADALI, 2018. "Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    15. Arash Habibi & Chin Lee, 2019. "Asymmetric Effects of Exchange Rates on Stock Prices in G7 Countries," Capital Markets Review, Malaysian Finance Association, vol. 27(1), pages 19-33.
    16. Omer Ahmed Sayed Mohamed & Faiza Omer Mohammed Elmahgop, 2020. "Is the Effect of the Exchange Rate on Stock Prices Symmetric or Asymmetric? Evidence from Sudan," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 209-215.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefanescu, Razvan & Dumitriu, Ramona, 2013. "Impact of the foreign exchange rates fluctuations on returns and volatility of the Bucharest Stock Exchange," MPRA Paper 47229, University Library of Munich, Germany, revised 04 Apr 2013.
    2. Andrew Phiri, 2020. "Structural changes in exchange rate-stock returns dynamics in South Africa: examining the role of crisis and new trading platform," Economic Change and Restructuring, Springer, vol. 53(1), pages 171-193, February.
    3. Malik, Farooq, 2021. "Volatility spillover between exchange rate and stock returns under volatility shifts," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 605-613.
    4. Christos Kollias & Stephanos Papadamou & Costas Siriopoulos, 2016. "Stock markets and effective exchange rates in European countries: threshold cointegration findings," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 215-274, August.
    5. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2020. "The foreign exchange and stock market nexus: New international evidence," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 240-266.
    6. Massomeh Hajilee & Omar M. Al Nasser, 2017. "Financial Depth and Exchange Rate Volatility," The American Economist, Sage Publications, vol. 62(1), pages 19-30, March.
    7. Bram Daelemans & Joseph P. Daniels & Farrokh Nourzad, 2018. "Free Trade Agreements and Volatility of Stock Returns and Exchange Rates: Evidence from NAFTA," Open Economies Review, Springer, vol. 29(1), pages 141-163, February.
    8. Tian, Maoxi & El Khoury, Rim & Alshater, Muneer M., 2023. "The nonlinear and negative tail dependence and risk spillovers between foreign exchange and stock markets in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    9. N Mozumder & G De Vita & K.S. Kyaw & C Larkin, 2015. "Volatility Spillover Between Stock Prices and Exchange Rates: New Evidence Across the Recent Financial Crisis Period," Economic Issues Journal Articles, Economic Issues, vol. 20(1), pages 43-64, March.
    10. Khalil Jebran & Amjad Iqbal, 2016. "Dynamics of volatility spillover between stock market and foreign exchange market: evidence from Asian Countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-20, December.
    11. Bajo-Rubio, Oscar & Berke, Burcu & McMillan, David, 2017. "The behaviour of asset return and volatility spillovers in Turkey: A tale of two crises," Research in International Business and Finance, Elsevier, vol. 41(C), pages 577-589.
    12. Shaobo Long & Mengxue Zhang & Keaobo Li & Shuyu Wu, 2021. "Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    13. Xingxing He & Korhan K. Gokmenoglu & Dervis Kirikkaleli & Syed Kumail Abbas Rizvi, 2023. "Co‐movement of foreign exchange rate returns and stock market returns in an emerging market: Evidence from the wavelet coherence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1994-2005, April.
    14. Dai, Zhifeng & Zhu, Huan & Dong, Xiaodi, 2020. "Forecasting Chinese industry return volatilities with RMB/USD exchange rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    15. Salah A. Nusair & Jamal A. Al-Khasawneh, 2022. "On the relationship between Asian exchange rates and stock prices: a nonlinear analysis," Economic Change and Restructuring, Springer, vol. 55(1), pages 361-400, February.
    16. Tsagkanos, Athanasios & Siriopoulos, Costas, 2013. "A long-run relationship between stock price index and exchange rate: A structural nonparametric cointegrating regression approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 106-118.
    17. Turgut Türsoy, 2017. "Causality between Stock Prices and Exchange Rates in Turkey: Empirical Evidence from the ARDL Bounds Test and a Combined Cointegration Approach," IJFS, MDPI, vol. 5(1), pages 1-10, March.
    18. Mohsen Bahmani-Oskooee & Sujata Saha, 2018. "On the relation between exchange rates and stock prices: a non-linear ARDL approach and asymmetry analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 112-137, January.
    19. 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.
    20. Hong-Ghi Min & Judith A. McDonald & Sang-Ook Shin, 2016. "What Makes a Safe Haven? Equity and Currency Returns for Six OECD Countries during the Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 17(2), pages 365-402, November.

    More about this item

    Keywords

    asymmetric exchange rate exposure; Chinese industries; NARDL; stock returns;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F3 - International Economics - - International Finance
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sndecm:v:21:y:2017:i:4:p:21:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.