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Financial Development, Shocks, And Growth Volatility

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  • Mallick, Debdulal

Abstract

This paper uses spectral theory to develop the following two testable hypotheses in a unified framework for the predictions of business-cycle and endogenous growth models: (i) financial development affects only business-cycle volatility; and (ii) shocks affect both business-cycle volatility and long-run volatility of GDP growth. In other words, volatility caused by shocks is more persistent than that caused by financial underdevelopment. We decompose the business-cycle and long-run volatility by the spectral method and then test the hypotheses at the cross-country level. Empirical evidence provides support for both hypotheses. Higher private credit, a bank-based measure of financial development, dampens business-cycle volatility but not long-run volatility. Volatility of shocks, as measured by the volatility of changes in the terms of trade, magnifies both business-cycle and long-run volatility. The results are robust to accounting for endogeneity, a market-based measure of financial development, and an alternative method of volatility decomposition.

Suggested Citation

  • Mallick, Debdulal, 2014. "Financial Development, Shocks, And Growth Volatility," Macroeconomic Dynamics, Cambridge University Press, vol. 18(3), pages 651-688, April.
  • Handle: RePEc:cup:macdyn:v:18:y:2014:i:03:p:651-688_00
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    Cited by:

    1. Emiel F. S. van Bezooijen & Jacob A. Bikker, 2019. "Financial Structure and Macroeconomic Volatility: A Panel Data Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(12), pages 117-117, December.
    2. Zouaoui, Haykel & Mazioud, Manel & Ellouz, Nidhal Ziedi, 2018. "A semi-parametric panel data analysis on financial development-economic volatility nexus in developing countries," Economics Letters, Elsevier, vol. 172(C), pages 50-55.
    3. Britta Gehrke & Fang Yao, 2016. "Persistence and volatility of real exchange rates: the role of supply shocks revisited," Reserve Bank of New Zealand Discussion Paper Series DP2016/02, Reserve Bank of New Zealand.
    4. Rodolfo Cermeño & María José Roa, 2013. "Desarrollo financiero, crecimiento y volatidad: Revisión de la literatura reciente," Documentos de Investigación - Research Papers 9, CEMLA.
    5. Rodolfo Cermeño & María José Roa García & Claudio González-Vega, 2016. "Financial Development and the Volatility of Growth: Time Series Evidence for Mexico and United States," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(2), pages 195-232, july-dece.
    6. Silva, Sergio H.R. da & Tabak, Benjamin M. & Cajueiro, Daniel O. & Fazio, Dimas M., 2017. "Economic growth, volatility and their interaction: What’s the role of finance?," Economic Systems, Elsevier, vol. 41(3), pages 433-444.
    7. Rodolfo Cermeño & María Roa García & Claudio González-Vega, 2012. "Financial Development and Volatility of Growth: Time Series Evidence for Mexico and USA," DEGIT Conference Papers c017_035, DEGIT, Dynamics, Economic Growth, and International Trade.
    8. Chowdhury, Mohammad Tarequl H. & Bhattacharya, Prasad Sankar & Mallick, Debdulal & Ulubaşoğlu, Mehmet Ali, 2014. "An empirical inquiry into the role of sectoral diversification in exchange rate regime choice," European Economic Review, Elsevier, vol. 67(C), pages 210-227.
    9. Abdul Rahman & Muhammad Arshad Khan, 2024. "Role of consistent regime-specific policies in recovering the negative relationship between financial development and economic growth," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-27, August.
    10. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Laiz, Marcela Tetzner, 2021. "The finance-growth nexus: The role of banks," Economic Systems, Elsevier, vol. 45(1).
    11. Summaira Malik & Ali Abbas & Malik Shahzad Shabbir & Carlos Samuel Ramos-Meza, 2024. "Business Cycle Fluctuations, Foreign Direct Investment, and Real Effective Exchange Rate Nexus Among Asian Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5466-5479, June.
    12. Gehrke, Britta & Yao, Fang, 2017. "Are supply shocks important for real exchange rates? A fresh view from the frequency-domain," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 99-114.
    13. Ibrahim, Muazu & Alagidede, Paul, 2017. "Financial sector development, economic volatility and shocks in sub-Saharan Africa," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 66-81.
    14. Meriem Sebai & Omar Talbi & Hella Guerchi Mehri, 2024. "On the Banking Deepening and Economic Volatility Nexus in Emerging Countries: Evidence from a GMM Panel-VAR Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 430-442, May.
    15. Rodolfo Cermeño Bazán & María Roa García & Claudio González Vega, 2012. "Financial Development and Growth Volatility: Time Series Evidence for Mexico and The United States," Working Papers DTE 544, CIDE, División de Economía.
    16. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2018. "Changing credit limits, changing business cycles," European Economic Review, Elsevier, vol. 102(C), pages 211-239.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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