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Weakness of investment in Portugal: what role do credit supply and fiscal consolidation shocks play?

  • Laurent MaurinEmail author
Original Article

Abstract

In order to illustrate how tightened financial conditions have hampered investment in Portugal, we estimate a Factor Augmented Vector AutoRegressive model (FAVAR) with Bayesian techniques. We extract a financial conditions indicator and identify credit supply, demand and fiscal consolidation shocks with sign restrictions. We show that changes in financial conditions, which result from both credit supply shocks and fiscal shocks, have a protracted impact, especially on bank loans and bank lending spreads. We then develop a scenario in which we the tightening in financial conditions in the wake of the sovereign crisis is attributed to credit supply shocks. The analysis suggests that, due to the crisis, by the end of 2017, Portuguese GDP, corporate investment and corporate loans were reduced by respectively 6, 22 and 20 p.p., public investment by 1 p.p. of GDP and bank lending spreads widened by 80 b.p.

Keywords

Corporate investment Public investment Financial indicators Activity Cost of financing Bank loans FAVAR model Bayesian estimation Sign restrictions Scenario analysis Sovereign stress Demand shock Credit shock Fiscal consolidation 

JEL Classification

C32 C11 E22 E60 G21 

Notes

References

  1. Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ 131(4):1593–1636CrossRefGoogle Scholar
  2. Banbura M, Giannone D, Reichlin L (2010) Large bayesian vector auto regressions. J Appl Econom 25:71–92CrossRefGoogle Scholar
  3. Bernanke B, Boivin J, Eliasz PS (2005) Measuring the effects of monetary policy: a structural interpretation: a factor-augmented vector autoregressive (FAVAR) approach. Q J Econ 120(1):387–422Google Scholar
  4. Blake A, Mumtaz H (2012) CCBS technical handbook no.4. Applied econometrics for central bankers, Bank of England, 2012Google Scholar
  5. Braga JP, Pereira I, Reis TB (2014) Composite indicator of financial stress for Portugal, Financial stability papers, Banco de Portugal, No. 1Google Scholar
  6. Brunnermeier M, Palia D, Sastry KA, Sims CA (2017) Feedbacks: financial markets and economic activity, mimeoGoogle Scholar
  7. Castro G, Felix RC, Julio P, Maria JR (2013) Fiscal mutipliers in a small euro area economy: how big can they get in crisi time, Bank of Portugal, Working Paper, No. 11Google Scholar
  8. Christiano L, Motto R, Rostagno M (2010) Financial factor in economic fluctuations, ECB, Working Paper, No. 1192Google Scholar
  9. Darracq-Parries M, Moccero D, Maurin L (2014) Financing condition index and identification of credit supply shock for the euro area. International finance 17 (3):297–321CrossRefGoogle Scholar
  10. De Graeve P (2008) The external finance premium and the macroeconomy: US-post WWII evidence. J Econ Dyn Control 32:3415–3440CrossRefGoogle Scholar
  11. EC (2015) Macroeconomic imbalances. Country Report, PortugalGoogle Scholar
  12. EIB (2016) EIB group survey on investment and investment finance in Portugal, Country overviewGoogle Scholar
  13. Farinha L, Felix S (2014) Credit rationing for portuguese SMEs, Financial Stability Papers, Bank of Portugal, 3, NovemberGoogle Scholar
  14. Fry R, Pagan A (2009) Sign restrictions in structural vector autoregressions: a critical review, mimeoGoogle Scholar
  15. Gambetti L, Musso A (2017) Loan supply shocks and the business cycle. J Appl Econom 32:764–782CrossRefGoogle Scholar
  16. Giannone D, Lenza M, Primiceri G (2015) Prior selection for vector autoregressions. Rev Econ Stat 97(2):412–435CrossRefGoogle Scholar
  17. Gilchrist S, Zakrajcek E (2011) Credit spreads and business cycle fluctuations, working paper, no. 17021 national bureau of economic research, Cambridge, M.AGoogle Scholar
  18. Gilchrist S, Ortiz A, Zakrajsek E (2009) Credit risk and the macroeconomy: evidence from an estimated DSGE model, Federal Reserve Board, mimeoGoogle Scholar
  19. IMF (2015) Private investment: what’s the holdup? World Economic Outlook. AprilGoogle Scholar
  20. IMF (2017) Portugal: Staff report, Country Report No. 17/58Google Scholar
  21. Koop G, Koribilis D (2009) Bayesian multivariate time series methods for empirical macroeconomics, mimeo, The Rimini Center for Economic AnalysisGoogle Scholar
  22. Lane P (2003) The cyclical behaviour of fiscal policy: evidence from the OECD. J Public Econ 87:2661–2675CrossRefGoogle Scholar
  23. Maurin L, Andersson M, Rusinova D (2018) Understanding the weakness of euro area investment since the great recession through the lence of a Bayesian FAVAR model, EIB Working Paper Series, forthcomingGoogle Scholar
  24. Mumtaz H, Pinter G, Theodoridis K (2018) What do VARs Tell Us about the Impact of a Credit Supply Shock? An Empirical Analysis, International Economic Review, forthcomingGoogle Scholar
  25. OECD (2017) Portugal - overview, OECD economic Surveys, FebruaryGoogle Scholar
  26. Rubio-Ramirez JF, Waggoner DF, Zha T (2010) Structural vector autoregressions: Theory of identification and algorithms for inference. Rev Econ Stud 77:665–96CrossRefGoogle Scholar
  27. Schaeter A, Kinda T, Budina N, Weber A (2012) Fiscal rules in responses to the crisis: toward the next generation rules, IMF working paper, 12/187, Washington DCGoogle Scholar
  28. Waggoner DF, Zha T (1999) Conditional forecasts in dynamic multivariate models. Rev Econ Stat 81(4):639–51CrossRefGoogle Scholar

Copyright information

© ISEG – Instituto Superior de Economia e Gestão 2019

Authors and Affiliations

  1. 1.Secretariat General, Economics DepartmentEuropean Investment BankKirchbergLuxembourg

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