IDEAS home Printed from https://ideas.repec.org/a/wly/ijfiec/v29y2024i2p1432-1450.html
   My bibliography  Save this article

Do stock market fluctuations lead to currency deflation in the South Asian region? Evidence beyond symmetry

Author

Listed:
  • Muhammad Tahir Suleman
  • Mosab I. Tabash
  • Umaid A. Sheikh

Abstract

This study explores the role of the asymmetrical influence of stock market reaction to the fluctuations in US dollars against the domestic currencies of the South Asian region. The symmetrical Panel based autoregressive distributed lag model (PARDL) model and panel‐based non‐linear autoregressive distributed lag model (NARDL) model with the Pooled Mean Group Approach (PMG) approach were employed to estimate the impact of stock market bullish and bearish behaviour on local currency variabilities of the South Asian region. The results show that during the pre‐economic recession regime, negative fluctuations in stock indexes had a direct association with exchange rate fluctuations for a longer period. However, after the crisis, both negative and positive stock index shocks have formulated an indirect or inverse association with exchange rate fluctuations. These findings pose important practical implications for the short‐term and long‐term shareholders and financial analysts. Hence, it is recommended that shareholders and financial analysts should base their investment in South Asian stock indices on negative and positive shocks since the non‐linear connectivity between both variables also exhibits regime dependence characteristics.

Suggested Citation

  • Muhammad Tahir Suleman & Mosab I. Tabash & Umaid A. Sheikh, 2024. "Do stock market fluctuations lead to currency deflation in the South Asian region? Evidence beyond symmetry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1432-1450, April.
  • Handle: RePEc:wly:ijfiec:v:29:y:2024:i:2:p:1432-1450
    DOI: 10.1002/ijfe.2746
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ijfe.2746
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ijfe.2746?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
    ---><---

    References listed on IDEAS

    as
    1. Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
    2. Samer AM Al‐Rjoub & Hussam Azzam, 2012. "Financial crises, stock returns and volatility in an emerging stock market: the case of Jordan," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 39(2), pages 178-211, May.
    3. Jin Seo Cho & Matthew Greenwood‐Nimmo & Yongcheol Shin, 2023. "Recent developments of the autoregressive distributed lag modelling framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 7-32, February.
    4. Chen, Lin & Wen, Fenghua & Li, Wanyang & Yin, Hua & Zhao, Lili, 2022. "Extreme risk spillover of the oil, exchange rate to Chinese stock market: Evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 107(C).
    5. Dejan Živkov & Boris Kuzman & Andrea Andrejević-Panić, 2021. "Nonlinear bidirectional multiscale volatility transmission effect between stocks and exchange rate markets in the selected African countries," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 1623-1650, January.
    6. Andriansyah, Andriansyah & Messinis, George, 2019. "Stock Prices, Exchange Rates and Portfolio Equity Flows: A Toda-Yamamoto Panel Causality Test," MPRA Paper 97992, University Library of Munich, Germany.
    7. Abdullahi D. Ahmed & Rui Huo, 2020. "Linkages among energy price, exchange rates and stock markets: Evidence from emerging African economies," Applied Economics, Taylor & Francis Journals, vol. 52(18), pages 1921-1935, April.
    8. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    9. Huang, Qian & Wang, Xiangning & Zhang, Shuguang, 2021. "The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    10. Salisu, Afees A. & Vo, Xuan Vinh, 2021. "The behavior of exchange rate and stock returns in high and low interest rate environments," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 138-149.
    11. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    12. 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.
    13. Singhal, Shelly & Choudhary, Sangita & Biswal, Pratap Chandra, 2019. "Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico," Resources Policy, Elsevier, vol. 60(C), pages 255-261.
    14. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    15. Makin, Anthony J., 2019. "Lessons for macroeconomic policy from the Global Financial Crisis," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 13-25.
    16. Mensi, Walid & Hammoudeh, Shawkat & Tiwari, Aviral Kumar & Al-Yahyaee, Khamis Hamed, 2020. "Impact of Islamic banking development and major macroeconomic variables on economic growth for Islamic countries: Evidence from panel smooth transition models," Economic Systems, Elsevier, vol. 44(1).
    17. Kingsley Ikechukwu Okere & Obumneke Bob Muoneke & Favour Chidinma Onuoha, 2021. "Symmetric and asymmetric effects of crude oil price and exchange rate on stock market performance in Nigeria: Evidence from multiple structural break and NARDL analysis," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 30(6), pages 930-956, August.
    18. Umaid A. Sheikh & Muzaffar Asad & Zahid Ahmed & Umer Mukhtar & David McMillan, 2020. "Asymmetrical relationship between oil prices, gold prices, exchange rate, and stock prices during global financial crisis 2008: Evidence from Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1757802-175, January.
    19. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    20. Dornbusch, Rudiger & Fischer, Stanley, 1980. "Exchange Rates and the Current Account," American Economic Review, American Economic Association, vol. 70(5), pages 960-971, December.
    21. Areli Bermudez Delgado, Nancy & Bermudez Delgado, Estefanía & Saucedo, Eduardo, 2018. "The relationship between oil prices, the stock market and the exchange rate: Evidence from Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 266-275.
    22. Xu, Xin & Huang, Shupei & An, Haizhong, 2022. "The dynamic moderating function of the exchange rate market on the oil-stock nexus," International Review of Financial Analysis, Elsevier, vol. 81(C).
    23. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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. Chuku Chuku & Atan Johnson & Obioesio Felix & Onye Kenneth, 2017. "Working Paper 287 - Current Account Adjustments and Integration in West Africa," Working Paper Series 2407, African Development Bank.
    2. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
    3. Frederique Bec & Melika Ben Salem, 2020. "An asymmetrical overshooting correction model for G20 nominal effective exchange rates," Economics Bulletin, AccessEcon, vol. 40(3), pages 1937-1947.
    4. Ahmed, Walid M.A., 2020. "Corruption and equity market performance: International comparative evidence," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    5. António Afonso & Christophe Rault, 2010. "What do we really know about fiscal sustainability in the EU? A panel data diagnostic," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(4), pages 731-755, January.
    6. Angeliki N. Menegaki, 2021. "Towards a Global Energy-Sustainable Economy Nexus; Summing up Evidence from Recent Empirical Work," Energies, MDPI, vol. 14(16), pages 1-16, August.
    7. Salisu, Afees A. & Ndako, Umar B., 2018. "Modelling stock price–exchange rate nexus in OECD countries: A new perspective," Economic Modelling, Elsevier, vol. 74(C), pages 105-123.
    8. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    9. Yazgan, Sekip & Marangoz, Cumali & Bulut, Emre, 2022. "The turning point of regional deindustrialization in the U.S.: Evidence from panel and time-series data," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 294-304.
    10. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    11. Kahia, Montassar & Ben Aissa, Mohamed Safouane, 2014. "Renewable and non-renewable energy consumption and economic growth: Evidence from MENA Net Oil Exporting Countries," MPRA Paper 80776, University Library of Munich, Germany.
    12. Trabelsi Ramzi & Jouini Wiem, 2019. "Causality Nexus between Economic Growth, Inflation and Innovation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 35-58, March.
    13. Salisu, Afees A. & Isah, Kazeem O., 2017. "Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach," Economic Modelling, Elsevier, vol. 66(C), pages 258-271.
    14. 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.
    15. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "Unit-root and stationarity testing with empirical application on industrial production of CEE-4 countries," MPRA Paper 29648, University Library of Munich, Germany.
    16. Swamy, Vighneswara & Dharani, Munusamy, 2019. "The dynamics of finance-growth nexus in advanced economies," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 122-146.
    17. Muhammad Bilal Khan & Hummera Saleem & Malik Shahzad Shabbir & Xie Huobao, 2022. "The effects of globalization, energy consumption and economic growth on carbon dioxide emissions in South Asian countries," Energy & Environment, , vol. 33(1), pages 107-134, February.
    18. Gilbert Nartea & Jacqueline Hernandez, 2020. "Government Size, the Composition of Public Spending and Economic Growth in Netherland," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 9(2), pages 82-89.
    19. Ahmet Duran & Mahmut Sami Gungor, 2017. "Aviation Fuel Hedging and Firm Value Analysis using Dynamic Panel Data Methodology: Evidence from the U.S. Major Passenger Airlines," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 10(3), pages 67-72, September.
    20. Dina Azhgaliyeva, 2013. "What Makes Oil Revenue Funds Effective," International Conference on Energy, Regional Integration and Socio-economic Development 6023, EcoMod.

    More about this item

    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:wly:ijfiec:v:29:y:2024:i:2:p:1432-1450. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1076-9307/ .

    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.