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The importance of the financial system for the current account in Sweden: A sectoral approach

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  • Spånberg, Erik
  • Shahnazarian, Hovick

Abstract

This paper takes a sectoral approach to investigate the importance of financial variables for current account dynamics in Sweden. We use a Bayesian VAR model with priors on the steady states to analyse the determinants of net lending in different sectors and by extension the current account. The results suggest that: (i) the sectoral approach provides added value in analysing and understanding the drivers of the current account; (ii) demographic and financial shocks each account for 10–40 per cent of the forecast error variance of net lending in different sectors; (iii) negative development in the financial variables has a negative impact on the current account; and (iv) the importance and impact magnitudes of financial shocks depend on how economic policies are assumed to counteract these shocks.

Suggested Citation

  • Spånberg, Erik & Shahnazarian, Hovick, 2019. "The importance of the financial system for the current account in Sweden: A sectoral approach," International Economics, Elsevier, vol. 158(C), pages 91-103.
    • Handle: RePEc:eee:inteco:v:158:y:2019:i:c:p:91-103
    DOI: 10.1016/j.inteco.2019.03.003
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    as
    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    3. Chinn, Menzie D. & Prasad, Eswar S., 2003. "Medium-term determinants of current accounts in industrial and developing countries: an empirical exploration," Journal of International Economics, Elsevier, vol. 59(1), pages 47-76, January.
    4. Ashoka Mody & Franziska Ohnsorge & Damiano Sandri, 2012. "Precautionary Savings in the Great Recession," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 114-138, April.
    5. Campello, Murillo & Graham, John R. & Harvey, Campbell R., 2010. "The real effects of financial constraints: Evidence from a financial crisis," Journal of Financial Economics, Elsevier, vol. 97(3), pages 470-487, September.
    6. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    7. Mr. Christopher Carroll & Mr. Martin Sommer & Mr. Jiri Slacalek, 2012. "Dissecting Saving Dynamics: Measuring Wealth, Precautionary, and Credit Effects," IMF Working Papers 2012/219, International Monetary Fund.
    8. Bloom, David E. & Canning, David & Mansfield, Richard K. & Moore, Michael, 2007. "Demographic change, social security systems, and savings," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 92-114, January.
    9. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    10. Patrick Bolton & Hui Chen & Neng Wang, 2011. "A Unified Theory of Tobin's q, Corporate Investment, Financing, and Risk Management," Journal of Finance, American Finance Association, vol. 66(5), pages 1545-1578, October.
    11. Todd E. Clark, 2011. "Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 327-341, July.
    12. David Domeij & Martin Flodén, 2006. "Population Aging And International Capital Flows," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 1013-1032, August.
    13. Steven M. Fazzari & R. Glenn Hubbard & Bruce C. Petersen, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
    14. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    15. Jappelli, Tullio & Pagano, Marco, 1989. "Consumption and Capital Market Imperfections: An International Comparison," American Economic Review, American Economic Association, vol. 79(5), pages 1088-1105, December.
    16. Orazio P. Attanasio & Guglielmo Weber, 2010. "Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 693-751, September.
    17. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
    18. Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
    19. Eytan Sheshinski, 2005. "Longevity and Aggregate Savings," Discussion Paper Series dp403, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    20. Calista Cheung & Davide Furceri & Elena Rusticelli, 2013. "Structural and Cyclical Factors behind Current Account Balances," Review of International Economics, Wiley Blackwell, vol. 21(5), pages 923-944, November.
    21. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    22. Marek Jarocinski & Frank Smets, 2008. "House prices and the stance of monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 339-366.
    23. Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
    24. Mr. Steven T Phillips & Mr. Luis Catão & Mr. Luca A Ricci & Mr. Rudolfs Bems & Ms. Mitali Das & Mr. Julian Di Giovanni & Ms. Filiz D Unsal & Marola Castillo & Jungjin Lee & Jair Rodriguez & Mr. Mauric, 2013. "The External Balance Assessment (EBA) Methodology," IMF Working Papers 2013/272, International Monetary Fund.
    25. Schmidt-Hebbel, Klaus & Serven, Luis & Solimano, Andres, 1996. "Saving and Investment: Paradigms, Puzzles, Policies," The World Bank Research Observer, World Bank, vol. 11(1), pages 87-117, February.
    26. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    27. Francesco Giavazzi & Michael McMahon, 2012. "Policy Uncertainty and Household Savings," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 517-531, May.
    28. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    29. Bachmann, Rüdiger & Bayer, Christian, 2013. "‘Wait-and-See’ business cycles?," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 704-719.
    30. Eytan Sheshinski, 2006. "Note on Longevity and Aggregate Savings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 108(2), pages 353-356, July.
    31. Pirmin Fessler & Martin Schürz, 2018. "Private Wealth Across European Countries: The Role of Income, Inheritance and the Welfare State," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 19(4), pages 521-549, October.
    32. Huggett, Mark, 1993. "The risk-free rate in heterogeneous-agent incomplete-insurance economies," Journal of Economic Dynamics and Control, Elsevier, vol. 17(5-6), pages 953-969.
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    More about this item

    Keywords

    Current account; Net lending; Financial variables; Bayesian VAR;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements

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