IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR

Listed author(s):
  • Wilmar Alexander Cabrera Rodríguez

    ()

  • Luis Fernando Melo Velandia

    ()

  • Daniel Parra Amado

    ()

Este documento estima los efectos de choques de origen financiero y real sobre un conjunto de variables de la economía colombiana. Para ello, se utiliza un modelo FAVAR que incorpora dos factores no observados, los cuales recogen la dinámica de 111 variables de la economía colombiana entre el primer trimestre de 2003 y el primer trimestre de 2013. El modelo FAVAR desarrollado en este trabajo corresponde a una extensión del modelo propuesto por Bernanke et al. [2005], que supone que las series, además de ser explicadas por el componente común, también son modeladas por un componente idiosincrático. Con dicha estimación se realizan dos ejercicios: (i) Análisis de impulso respuesta de las variables económicas frente a choques en los factores real y financiero y (ii) cuantificar el efecto que tiene un evento de estrés en el sector financiero sobre el sector real y viceversa; para ello se propone el CoFaR, medida alterna al CoVaR que recientemente ha sido utilizada en la literatura económica (Adrian y Brunnermeier [2011]). Los resultados obtenidos sugieren que los estrechos vínculos entre los dos sectores propagan los choques en ambas direcciones. En particular, el sector financiero reacciona de manera más rápida ante un choque en la actividad real, en comparación con el efecto de un choque financiero al sector real.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.banrep.gov.co/sites/default/files/publicaciones/archivos/be_810.pdf
Download Restriction: no

Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 011142.

as
in new window

Length: 42
Date of creation: 21 Feb 2014
Handle: RePEc:col:000094:011142
Contact details of provider:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window

  1. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 387-422.
  2. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
  3. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
  4. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," NBER Working Papers 5146, National Bureau of Economic Research, Inc.
  5. De Nicolo, Gianni & Kwast, Myron L., 2002. "Systemic risk and financial consolidation: Are they related?," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 861-880, May.
  6. Gianni De Nicolo & Myron L. Kwast, 2002. "Systemic Risk and Financial Consolidation; Are they Related?," IMF Working Papers 02/55, .
  7. Christopher A. Sims, 1992. "Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy," Cowles Foundation Discussion Papers 1011, Cowles Foundation for Research in Economics, Yale University.
  8. Acharya, Viral V., 2009. "A theory of systemic risk and design of prudential bank regulation," Journal of Financial Stability, Elsevier, vol. 5(3), pages 224-255, September.
  9. PERRON, Pierre & RODRIGUEZ, Gabriel, 1998. "GLS Detrending, Efficient Unit Root Tests and Structural Change," Cahiers de recherche 9809, Universite de Montreal, Departement de sciences economiques.
  10. Xin Huang & Hao Zhou & Haibin Zhu, 2012. "Systemic Risk Contributions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 55-83, October.
    • Xin Huang & Hao Zhou & Haibin Zhu, 2011. "Systemic risk contributions," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 36-43 Bank for International Settlements.
  11. Goodfriend, Marvin & McCallum, Bennett T., 2007. "Banking and interest rates in monetary policy analysis: A quantitative exploration," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1480-1507, July.
  12. Alejandro Badel & Mauricio Cárdenas, 2003. "La crisis de financiamiento hipotecario en Colombia: causas y consecuencias," IDB Publications (Working Papers) 7642, Inter-American Development Bank.
  13. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
  14. Gianni De Nicolò & Marcella Lucchetta, 2011. "Systemic Risks and the Macroeconomy," NBER Chapters, in: Quantifying Systemic Risk, pages 113-148 National Bureau of Economic Research, Inc.
  15. Bernanke, B. & Gertler, M. & Gilchrist, S., 1998. "The Financial Accelerator in a Quantitative Business Cycle Framework," Working Papers 98-03, C.V. Starr Center for Applied Economics, New York University.
  16. Douglas W. Diamond & Raghuram G. Rajan, 2003. "Liquidity Shortages and Banking Crises," NBER Working Papers 10071, National Bureau of Economic Research, Inc.
  17. Linda Allen & Turan G. Bali & Yi Tang, 2012. "Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?," Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 3000-3036.
  18. Clara Lia Machado & Carlos León & Miguel Sarmiento & Orlando Chipatecua, 2010. "Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación de Pagos," BORRADORES DE ECONOMIA 007669, BANCO DE LA REPÚBLICA.
  19. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  20. Joseph G. Haubrich & Andrew W. Lo, 2013. "Quantifying Systemic Risk," NBER Books, National Bureau of Economic Research, Inc, number haub10-1, September.
  21. Jorge Hernán Toro Córdoba & Rocío Mora Quiñones & Daniel Parra Amado, 2012. "Flujos de capital, la crisis financiera internacional y los desbalances macroeconómicos," Borradores de Economia 720, Banco de la Republica de Colombia.
  22. Gauthier, Céline & Lehar, Alfred & Souissi, Moez, 2012. "Macroprudential capital requirements and systemic risk," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 594-618.
  23. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Systemically important banks: an analysis for the European banking system," International Economics and Economic Policy, Springer, vol. 3(1), pages 73-89, April.
  24. Francesco Belviso & Fabio Milani, 2005. "Structural Factor-Augmented VAR (SFAVAR) and the Effects of Monetary Policy," Macroeconomics 0503023, EconWPA.
  25. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  26. Furfine, Craig H, 2003. " Interbank Exposures: Quantifying the Risk of Contagion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 111-128, February.
  27. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
  28. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  29. Patro, Dilip K. & Qi, Min & Sun, Xian, 2013. "A simple indicator of systemic risk," Journal of Financial Stability, Elsevier, vol. 9(1), pages 105-116.
  30. John B. Taylor, 2009. "The Financial Crisis and the Policy Responses: An Empirical Analysis of What Went Wrong," NBER Working Papers 14631, National Bureau of Economic Research, Inc.
  31. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  32. Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(65), pages 106-175, Junio.
  33. Miguel Morales & Dairo Estrada, 2010. "A financial stability index for Colombia," Annals of Finance, Springer, vol. 6(4), pages 555-581, October.
  34. Trapp, Monika & Wewel, Claudio, 2013. "Transatlantic systemic risk," CFR Working Papers 12-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
  35. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
  36. Fabio Milani & Francesco Belviso, 2003. "Structural Factor-Augmented VAR (SFAVAR)," Computing in Economics and Finance 2003 278, Society for Computational Economics.
  37. Trapp, Monika & Wewel, Claudio, 2013. "Transatlantic systemic risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4241-4255.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:col:000094:011142. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Clorith Angélica Bahos Olivera)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.