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Is the financial sector Luxembourg?s engine of growth?

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  • Paolo Guarda
  • Abdelaziz Rouabah

Abstract

This paper measures the links between financial services and other production sectors in the Luxembourg economy. The focus is on propagation within the country, without considering growth abroad. Among the 29 sectors in the annual input-output tables, financial intermediation is one of only four ?key sectors? that the Leontief inverse identifies as featuring above-average forward and backward linkages to other production sectors. The links from financial services to other sectors became even stronger from 1995 to 2009. At quarterly frequency, Granger causality tests find that no sector leads financial services, although they also fail to find evidence that financial services lead other sectors. Lack of evidence may be attributed to quarter-on-quarter growth rates deviating from the normal distribution, with ?fat tails? possibly reflecting volatility clustering. We therefore estimate univariate ARIMA-GARCH models to identify normally distributed innovations in each sector. Comparing these growth innovations at different leads or lags, Cheung-Ng tests find little evidence of crosssector causality-in-mean or causality-in-variance. This time, lack of evidence could reflect time variation in cross-sector correlations, which is confirmed by the Engle-Sheppard test. Estimated dynamic conditional correlations vary significantly through time, with cross-sector correlations surging during the financial crisis. Dynamic correlations are used to decompose the overall volatility of Luxembourg?s macroeconomic ?portfolio? of different production sectors, which responds mostly to changes in cross-sector correlations. In conclusion, the financial sector appears to be strongly linked with the rest of the economy, benefiting from growth in other sectors, which it amplifies and propagates to the whole economy.

Suggested Citation

  • Paolo Guarda & Abdelaziz Rouabah, 2015. "Is the financial sector Luxembourg?s engine of growth?," BCL working papers 97, Central Bank of Luxembourg.
  • Handle: RePEc:bcl:bclwop:bclwp097
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    1. Hsiu-Yun Lee & Kenneth Lin & Jyh-Lin Wu, 2002. "Pitfalls in using Granger causality tests to find an engine of growth," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 411-414.
    2. Christian M. Hafner & Helmut Herwartz, 2008. "Testing for Causality in Variance Usinf Multivariate GARCH Models," Annals of Economics and Statistics, GENES, issue 89, pages 215-241.
    3. Sonis, Michael & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1995. "Linkages, key sectors and structural change: some new perspectives," MPRA Paper 54754, University Library of Munich, Germany.
    4. Hazari, Bharat R, 1970. "Empirical Identification of Key Sectors in the Indian Economy," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 301-305, August.
    5. Lee, Jim, 1999. "The inflation and output variability tradeoff: evidence from a Garch model," Economics Letters, Elsevier, vol. 62(1), pages 63-67, January.
    6. António Afonso & Davide Furceri, 2009. "Sectoral Business Cycle Synchronization in the European Union," Economics Bulletin, AccessEcon, vol. 29(4), pages 2996-3014.
    7. Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús, 2010. "Macroeconomics and Volatility: Data, Models, and Estimation," CEPR Discussion Papers 8169, C.E.P.R. Discussion Papers.
    8. Lee, Jim, 2006. "The comovement between output and prices: Evidence from a dynamic conditional correlation GARCH model," Economics Letters, Elsevier, vol. 91(1), pages 110-116, April.
    9. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    10. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    11. Michael Humavindu & Jesper Stage, 2013. "Key Sectors of the Namibian Economy," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 2(1), pages 1-15, December.
    12. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    13. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    14. Fountas, Stilianos & Karanasos, Menelaos, 2007. "Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 229-250, March.
    15. Stilianos Fountas & Menelaos Karanasos & Alfonso Mendoza, 2004. "Output Variability and Economic Growth: the Japanese Case," Bulletin of Economic Research, Wiley Blackwell, vol. 56(4), pages 353-363, October.
    16. Wen‐Shwo Fang & Stephen M. Miller, 2008. "The Great Moderation and the Relationship between Output Growth and Its Volatility," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 819-838, January.
    17. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    18. Jim Lee, 2002. "The Inflation-Output Variability Tradeoff and Monetary Policy: Evidence from a GARCH Model," Southern Economic Journal, John Wiley & Sons, vol. 69(1), pages 175-188, July.
    19. Hanabusa, Kunihiro, 2009. "Causality relationship between the price of oil and economic growth in Japan," Energy Policy, Elsevier, vol. 37(5), pages 1953-1957, May.
    20. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    21. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    22. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
    23. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Mean and variance causality between the Cyprus Stock Exchange and major equity markets," Working Papers 0501, University of Crete, Department of Economics.
    24. Angelos Kanas & Georgios P. Kouretas, 2002. "Mean and Variance Causality between Official and Parallel Currency Markets: Evidence from Four Latin American Countries," The Financial Review, Eastern Finance Association, vol. 37(2), pages 137-163, May.
    25. Elder, John, 2004. "Another Perspective on the Effects of Inflation Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(5), pages 911-928, October.
    26. Abdelaziz Rouabah, 2007. "Co-variation des taux de croissance sectoriels au Luxembourg: l?apport des corrélations conditionnelles dynamiques," BCL working papers 25, Central Bank of Luxembourg.
    27. Ólan T. Henry & Nilss Olekalns, 2002. "The Effect of Recessions on the Relationship between Output Variability and Growth," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 683-692, January.
    28. Michael Sonis & Geoffrey J. D. Hewings, 2009. "New Developments in Input-Output Analysis," Advances in Spatial Science, in: Michael Sonis & Geoffrey J. D. Hewings (ed.), Tool Kits in Regional Science, chapter 3, pages 69-117, Springer.
    29. Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, June.
    30. repec:zbw:bofrdp:2005_012 is not listed on IDEAS
    31. Fountas, Stilianos & Karanasos, Menelaos, 2006. "The relationship between economic growth and real uncertainty in the G3," Economic Modelling, Elsevier, vol. 23(4), pages 638-647, July.
    32. Arnaud Bourgain & Paolo Guarda & Patrice Pieretti, 2000. "Dynamique de la croissance et spécialisation: analyse en panel des branches industrielles," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 167, pages 275-298.
    33. John Elder, 2004. "Some empirical evidence on the real effects of nominal volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 28(1), pages 1-13, March.
    34. Michael Sonis & Geoffrey J. D. Hewings (ed.), 2009. "Tool Kits in Regional Science," Advances in Spatial Science, Springer, number 978-3-642-00627-2, February.
    35. Kevin B. Grier & Mark J. Perry, 2000. "The effects of real and nominal uncertainty on inflation and output growth: some garch-m evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 45-58.
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    More about this item

    Keywords

    Output growth; GARCH models; Dynamic conditional correlations;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E0 - Macroeconomics and Monetary Economics - - General

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