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What is the major determinant of cross-border banking flows?

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  • Shirota, Toyoichiro

Abstract

This study examines the major determinant of cross-border credit flows through global banks across 70 countries. Employing a Bayesian dynamic latent factor model, we decompose volatilities of banking flows into the contribution of a global common factor, regional common factor, and country-specific factor. The results indicate that the global and regional common factor explains about 40–50 percent of volatility in overall cross-border banking flows. In particular, the contribution of the global common factor increased in the 2000s. Simultaneously, main determinants are largely heterogeneous across countries: this implies that the desirable policy response to credit inflows may differ for each host country.

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  • Shirota, Toyoichiro, 2015. "What is the major determinant of cross-border banking flows?," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 137-147.
    • Handle: RePEc:eee:jimfin:v:53:y:2015:i:c:p:137-147
    DOI: 10.1016/j.jimonfin.2015.01.001
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    Cited by:

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    3. Chiappini, Raphaël & Lahet, Delphine, 2020. "Exchange rate movements in emerging economies - Global vs regional factors in Asia," China Economic Review, Elsevier, vol. 60(C).
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    5. Gelman, Maria & Jochem, Axel & Reitz, Stefan, 2016. "Transmission of global financial shocks to EMU member states: The role of monetary policy and national factors," Discussion Papers 23/2016, Deutsche Bundesbank.
    6. Lepers, Etienne & Mercado, Rogelio, 2021. "Sectoral capital flows: Covariates, co-movements, and controls," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    7. Yamamoto, Shugo, 2020. "Banking Network Multiplier effects on cross-border bank inflows," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 493-507.
    8. Nguyen Thi Nhung & Tran Thi Thanh Tu & Tran Minh Anh, 2019. "Cross-Border Banking Services and Determinants of Bank Selection from Corporate Customer’s Perspective: Evidence from Vietnam," Accounting and Finance Research, Sciedu Press, vol. 8(1), pages 138-138, February.
    9. Ha, Dao & Gillet, Philippe & Le, Phuong & Vo, Dinh-Tri, 2020. "Banking integration in ASEAN-6: An empirical investigation," Economic Modelling, Elsevier, vol. 91(C), pages 705-719.
    10. Sophie Brana & Dalila Chenaf-Nicet & Delphine Lahet, 2023. "Drivers of cross-border bank claims: The role of foreign-owned banks in emerging countries," Working Papers 2023.06, International Network for Economic Research - INFER.
    11. Deng, Yuanyue & Li, Sijing, 2024. "Do global and local economic policy uncertainties matter for systemic risk in the international banking system," Finance Research Letters, Elsevier, vol. 59(C).

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    More about this item

    Keywords

    International capital flows; Global banking; Bayesian estimation;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • F3 - International Economics - - International Finance

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