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Does the strength of the US dollar affect the interdependence among currency exchange rates of RCEP and CPTPP countries?

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  • Wang, Mengjiao
  • Liu, Jianxu
  • Yang, Bing

Abstract

This study investigates the interdependence among currency exchange rates of Regional Comprehensive Economic Partnership (RCEP) and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) countries using regular vine copula model. We examine the asymmetric impact of the strength of US dollar (USD) on the dynamic dependence between currencies. The findings show that Singapore and Australian dollars play dominant roles in the currency network. The USD strength significantly affects the co-movements between currencies with the strongest correlations; and the influence of USD strength can be amplified during strong-dollar periods. Furthermore, shrinking USD liquidity, which is typically accompanied by a strong dollar cycle, generally increases currency dependence within the RCEP and CPTPP.

Suggested Citation

  • Wang, Mengjiao & Liu, Jianxu & Yang, Bing, 2024. "Does the strength of the US dollar affect the interdependence among currency exchange rates of RCEP and CPTPP countries?," Finance Research Letters, Elsevier, vol. 62(PA).
  • Handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324001405
    DOI: 10.1016/j.frl.2024.105110
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    as
    1. Caporale, Guglielmo Maria & Gil-Alana, Luis A. & You, Kefei, 2018. "Exchange rate linkages between the ASEAN currencies, the US dollar and the Chinese RMB," Research in International Business and Finance, Elsevier, vol. 44(C), pages 227-238.
    2. Hambuckers, J. & Ulm, M., 2023. "On the role of interest rate differentials in the dynamic asymmetry of exchange rates," Economic Modelling, Elsevier, vol. 129(C).
    3. Stefan Avdjiev & Wenxin Du & Cathérine Koch & Hyun Song Shin, 2019. "The Dollar, Bank Leverage, and Deviations from Covered Interest Parity," American Economic Review: Insights, American Economic Association, vol. 1(2), pages 193-208, September.
    4. He, Qing & Liu, Junyi & Yu, Jishuang, 2023. "Dancing with dragon: The RMB and developing economies’ currencies," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Maurice Obstfeld & Haonan Zhou, 2022. "The Global Dollar Cycle," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 53(2 (Fall)), pages 361-447.
    6. Jiang, Xue & Li, Sai-Ping & Mai, Yong & Tian, Tao, 2022. "Study of multinational currency co-movement and exchange rate stability base on network game," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Serdengeçti, Süleyman & Sensoy, Ahmet & Nguyen, Duc Khuong, 2021. "Dynamics of return and liquidity (co) jumps in emerging foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    8. Xavier Gabaix & Matteo Maggiori, 2015. "International Liquidity and Exchange Rate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1369-1420.
    9. Chuliá, Helena & Fernández, Julián & Uribe, Jorge M., 2018. "Currency downside risk, liquidity, and financial stability," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 83-102.
    10. Palwishah, Rana & Kashif, Muhammad & Rehman, Mobeen Ur & Al-Faryan, Mamdouh Abdulaziz Saleh, 2024. "Asymmetric liquidity risk and currency returns before and during COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 91(C).
    11. Bruno, Valentina & Shin, Hyun Song, 2015. "Capital flows and the risk-taking channel of monetary policy," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 119-132.
    12. Joe, Harry, 2005. "Asymptotic efficiency of the two-stage estimation method for copula-based models," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 401-419, June.
    13. Ahmed, Rashad & Aizenman, Joshua & Saadaoui, Jamel & Uddin, Gazi Salah, 2023. "On the effectiveness of foreign exchange reserves during the 2021-22 U.S. monetary tightening cycle," Economics Letters, Elsevier, vol. 233(C).
    14. Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017. "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, vol. 42(C), pages 173-190.
    15. Niepmann, Friederike & Schmidt-Eisenlohr, Tim, 2023. "Institutional investors, the dollar, and U.S. credit conditions," Journal of Financial Economics, Elsevier, vol. 147(1), pages 198-220.
    16. Wen, Tiange & Wang, Gang-Jin, 2020. "Volatility connectedness in global foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 54(C).
    17. Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
    18. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    19. Lu, Xun & White, Halbert, 2014. "Robustness checks and robustness tests in applied economics," Journal of Econometrics, Elsevier, vol. 178(P1), pages 194-206.
    20. Shahzad, Syed Jawad Hussain & Hasan, Mudassar & Caporin, Massimiliano, 2023. "Asymmetric and time-frequency based networks of currency markets," Finance Research Letters, Elsevier, vol. 55(PB).
    21. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    22. Mathias Drehmann & Vladyslav Sushko, 2022. "The global foreign exchange market in a higher-volatility environment," BIS Quarterly Review, Bank for International Settlements, December.
    23. Meller, Barbara & Metiu, Norbert, 2017. "The synchronization of credit cycles," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 98-111.
    24. Jiang, Zhengyang, 2021. "US Fiscal cycle and the dollar," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 91-106.
    25. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    26. Xiao, Qin & Yan, Meilan & Zhang, Dalu, 2023. "Commodity market financialization, herding and signals: An asymmetric GARCH R-vine copula approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    27. Wan, Yang & He, Shi, 2021. "Dynamic connectedness of currencies in G7 countries: A Bayesian time-varying approach," Finance Research Letters, Elsevier, vol. 41(C).
    28. Chunding Li & Donglin Li, 2022. "When Regional Comprehensive Economic Partnership Agreement(RCEP) Meets Comprehensive and Progressive Trans-Pacific Partnership Agreement(CPTPP): Considering the “Spaghetti Bowl” Effect," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(7), pages 1988-2003, May.
    29. Ko, Vinnie & Hjort, Nils Lid, 2019. "Model robust inference with two-stage maximum likelihood estimation for copulas," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 362-381.
    30. Long, Shaobo & Zhang, Rui & Hao, Jing, 2022. "Asymmetric impact of Sino-US interest rate differentials and economic policy uncertainty ratio on RMB exchange rate," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    31. Karimi, Parinaz & Mirzaee Ghazani, Majid & Ebrahimi, Seyed Babak, 2023. "Analyzing spillover effects of selected cryptocurrencies on gold and brent crude oil under COVID-19 pandemic: Evidence from GJR-GARCH and EVT copula methods," Resources Policy, Elsevier, vol. 85(PB).
    32. David-Pur, Lior & Galil, Koresh & Rosenboim, Mosi & Shapir, Offer Moshe, 2023. "Cross-currency basis swap spreads and corporate dollar funding," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    33. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
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