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International capital flows and economic growth in CESEE: a structural break in the great recession

Author

Listed:
  • Željko Bogdan

    (Faculty of Economics and Business, University of Zagreb)

  • Milan Deskar-Škrbić

    (Erste&Steiermarkische bank d.d. Croatia)

  • Velimir Šonje

    (Arhivanalitika and Zagreb School of Economics and Management)

Abstract

This paper deals with real effects of bank-intermediated international capital flows to 11 CESEE coun-tries 1997-2012. The purpose is to check for structural breaks in the short-run relationship between bank-intermediated capital flows and output growth since 2008. The relationship is investigated in dynamic panel growth regression framework. Results show that there was no systematic relationship between international banks' exposures and countries' growth rates at normal times. The relationship turned negative at times of crisis, implying that international banks did not cause or propagate negative output shocks in the period of great recession. Moreover, banks may have alleviated intensity of nega-tive shocks by resisting reduction of country exposures in line with contracting GDP. Asset and liability side of local banks' balance sheets are separated by different kinds of capital and liquidity buffers. So, effects of lending in local credit markets on GDP growth should be looked at separately from international component on the liability side of banks’ balance sheets. When interna-tional banks' exposures are replaced by local credit portfolios in panel growth regressions, the results change: (1) there is a positive relationship between credit to households and output growth: moreover, strength of positive relationship is magnified at times of crisis; (2) positive relationship between cor-porate credit and output growth does not change at times of crisis. Thus, crisis-related household sec-tor deleveraging may be much more costly in terms of output loss, than corporate sector deleveraging. Key policy implication is that maintaining the flow of credit to households has higher importance in combating the crisis in the short run than stimulating the flow of credit to non-financial corporations. Also, crisis-related household sector deleveraging may be much more costly in terms of output loss, than corporate sector deleveraging.

Suggested Citation

  • Željko Bogdan & Milan Deskar-Škrbić & Velimir Šonje, 2014. "International capital flows and economic growth in CESEE: a structural break in the great recession," EFZG Working Papers Series 1404, Faculty of Economics and Business, University of Zagreb.
    • Handle: RePEc:zag:wpaper:1404
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    References listed on IDEAS

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    1. Sebastian Edwards & Márcio G. P. Garcia, 2008. "Financial Markets Volatility and Performance in Emerging Markets," NBER Books, National Bureau of Economic Research, Inc, number edwa05-1, March.
    2. Sabine Herrmann & Dubravko Mihaljek, 2010. "The determinants of cross-border bank flows to emerging markets: new empirical evidence on the spread of financial crises," BIS Working Papers 315, Bank for International Settlements.
    3. Garita, Gus, 2009. "How Does Financial Openness Affect Economic Growth and its Components?," MPRA Paper 20099, University Library of Munich, Germany.
    4. Arjana BREZIGAR-MASTEN & Fabrizio CORICELLI & Igor MASTEN, 2009. "Financial integration and financial development in transition economies: What happens during financial crises?," RSCAS Working Papers 2009/49, European University Institute.
    5. Ito, Hiro, 2004. "Is Financial Openness a Bad Thing? An Analysis on the Correlation Between Financial Liberalization and the Output Performance of Crisis-Hit Economies," Santa Cruz Department of Economics, Working Paper Series qt5zb2v4c5, Department of Economics, UC Santa Cruz.
    6. Matthieu Bussière & Marcel Fratzscher, 2008. "Financial Openness and Growth: Short‐run Gain, Long‐run Pain?," Review of International Economics, Wiley Blackwell, vol. 16(1), pages 69-95, February.
    7. Stefan Afdjiev & Zsolt Kuti & Elod Takáts, 2012. "The euro area crisis and cross-border bank lending to emerging markets," BIS Quarterly Review, Bank for International Settlements, December.
    8. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    9. Buddelmeyer, Hielke & Jensen, Paul H. & Oguzoglu, Umut & Webster, Elizabeth, 2008. "Fixed Effects Bias in Panel Data Estimators," IZA Discussion Papers 3487, Institute of Labor Economics (IZA).
    10. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    11. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Jeannine Bailliu, 2000. "Private Capital Flows, Financial Development, and Economic Growth in Developing Countries," Staff Working Papers 00-16, Bank of Canada.
    14. Sebastian Edwards, 2008. "Financial Openness, Currency Crises, and Output Losses," NBER Chapters, in: Financial Markets Volatility and Performance in Emerging Markets, pages 97-120, National Bureau of Economic Research, Inc.
    15. Edwards, Sebastian & Garcia, Márcio G (ed.), 2008. "Financial Markets Volatility and Performance in Emerging Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226184951, December.
    16. Mr. Christoph Duenwald & Nikolay Gueorguiev & Ms. Andrea Schaechter, 2005. "Too Much of a Good Thing? Credit Booms in Transition Economies: The Cases of Bulgaria, Romania, and Ukraine," IMF Working Papers 2005/128, International Monetary Fund.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. N. R. Bhanumurthy & Lokendra Kumawat, 2020. "Financial Globalization and Economic Growth in South Asia," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 31-57, March.

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    More about this item

    Keywords

    capital flows; CESEE; economic growth; Great REcession; panel analysis;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • F3 - International Economics - - International Finance
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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