IDEAS home Printed from https://ideas.repec.org/p/idb/brikps/8488.html
   My bibliography  Save this paper

Financial Conditions Indicator for Brazil

Author

Listed:
  • Gaglianone, Wagner Piazza
  • Dutra Areosa, Waldyr

Abstract

This paper proposes a methodology for constructing a Financial Conditions Indicator (FCI) based on factor analysis and the approaches of Brave and Butters (2011) and Aramonte et al. (2013). A selected set of variables is used and their information content aggregated into a single index that summarizes the overall financial conditions of the economy. The approach is further employed to forecast economic activity. An empirical exercise for Brazil is provided to illustrate the methodology, in which a reduced-form equation is employed to point forecast the growth rate of the Brazilian economy. In addition, a quantile regression technique is used to construct density forecasts and generate probability density functions of future economic activity. Finally, a risk analysis is conducted within this set-up in order to compute conditional probabilities of the growth rate of the economy to be above/below a given scenario, which might be useful for both academics and policymakers’ concerns.

Suggested Citation

  • Gaglianone, Wagner Piazza & Dutra Areosa, Waldyr, 2017. "Financial Conditions Indicator for Brazil," IDB Publications (Working Papers) 8488, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:8488
    as

    Download full text from publisher

    File URL: https://publications.iadb.org/publications/english/document/Financial-Conditions-Indicator-for-Brazil.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wagner Piazza Gaglianone & Luiz Renato Lima, 2012. "Constructing Density Forecasts from Quantile Regressions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1589-1607, December.
    2. Mark Gertler & Simon Gilchrist, 1994. "Monetary Policy, Business Cycles, and the Behavior of Small Manufacturing Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 309-340.
    3. Adriana Soares Sales & Waldyr D. Areosa & Marta B. M. Areosa, 2012. "Some Financial Stability Indicators for Brazil," Working Papers Series 287, Central Bank of Brazil, Research Department.
    4. Palm, F. & Zellner, A., 1991. "To combine or not to combine? issues of combining forecasts," LIDAM Discussion Papers CORE 1991022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    6. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    7. Claudio Borio, 2011. "Rediscovering the Macroeconomic Roots of Financial Stability Policy: Journey, Challenges, and a Way Forward," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 87-117, December.
    8. Cihak, Martin & Demirguc-Kunt, Asli & Feyen, Erik & Levine, Ross, 2013. "Financial Development in 205 Economies, 1960 to 2010," Journal of Financial Perspectives, EY Global FS Institute, vol. 1(2), pages 17-36.
    9. Mark Carlson & Kurt Lewis & William Nelson, 2014. "Using Policy Intervention To Identify Financial Stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 59-72, January.
    10. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    11. Wagner Piazza Gaglianone & Luiz Renato Lima, 2014. "Constructing Optimal Density Forecasts From Point Forecast Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
    12. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    13. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    14. Eric S. Rosengren & Joe Peek, 2000. "Collateral Damage: Effects of the Japanese Bank Crisis on Real Activity in the United States," American Economic Review, American Economic Association, vol. 90(1), pages 30-45, March.
    15. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
    16. Charles W. Calomiris & Joseph R. Mason, 2003. "Consequences of Bank Distress During the Great Depression," American Economic Review, American Economic Association, vol. 93(3), pages 937-947, June.
    17. Chava, Sudheer & Purnanandam, Amiyatosh, 2011. "The effect of banking crisis on bank-dependent borrowers," Journal of Financial Economics, Elsevier, vol. 99(1), pages 116-135, January.
    18. Anil K Kashyap & Owen A. Lamont & Jeremy C. Stein, 1994. "Credit Conditions and the Cyclical Behavior of Inventories," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 565-592.
    19. Peek, Joe & Rosengren, Eric S, 1997. "The International Transmission of Financial Shocks: The Case of Japan," American Economic Review, American Economic Association, vol. 87(4), pages 495-505, September.
    20. Oliner, Stephen D & Rudebusch, Glenn D, 1996. "Monetary Policy and Credit Conditions: Evidence from the Composition of External Finance: Comment," American Economic Review, American Economic Association, vol. 86(1), pages 300-309, March.
    21. Miss Nombulelo Gumata & Mr Nir Klein & Mr Eliphas Ndou, 2012. "A Financial Conditions Index for South Africa," Working Papers 5119, South African Reserve Bank.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    23. Kimberly Beaton & René Lalonde & Corinne Luu, 2009. "A Financial Conditions Index for the United States," Discussion Papers 09-11, Bank of Canada.
    24. Luiz Awazu Pereira da Silva & Adriana Soares Sales & Wagner Piazza Gaglianone, 2013. "Financial stability in Brazil," Chapters, in: Andreas Dombret & Otto Lucius (ed.), Stability of the Financial System, chapter 4, Edward Elgar Publishing.
    25. Campbell, John Y. & Yogo, Motohiro, 2006. "Efficient tests of stock return predictability," Journal of Financial Economics, Elsevier, vol. 81(1), pages 27-60, July.
    26. Jeremy C. Stein & Anil K. Kashyap, 2000. "What Do a Million Observations on Banks Say about the Transmission of Monetary Policy?," American Economic Review, American Economic Association, vol. 90(3), pages 407-428, June.
    27. A. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2012. "Financial Conditions Indices for the Turkish Economy," CBT Research Notes in Economics 1231, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    28. Jan Hatzius & Peter Hooper & Frederic S. Mishkin & Kermit L. Schoenholtz & Mark W. Watson, 2010. "Financial Conditions Indexes: A Fresh Look after the Financial Crisis," NBER Working Papers 16150, National Bureau of Economic Research, Inc.
    29. Daniel Paravisini, 2008. "Local Bank Financial Constraints and Firm Access to External Finance," Journal of Finance, American Finance Association, vol. 63(5), pages 2161-2193, October.
    30. Scott Brave & R. Andrew Butters, 2011. "Monitoring financial stability: a financial conditions index approach," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 35(Q I), pages 22-43.
    31. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    32. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    33. Craig S. Hakkio & William R. Keeton, 2009. "Financial stress: what is it, how can it be measured, and why does it matter?," Economic Review, Federal Reserve Bank of Kansas City, vol. 94(Q II), pages 5-50.
    34. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    35. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    36. Céline Gauthier & Christopher Graham & Ying Liu, 2004. "Financial Conditions Indexes for Canada," Staff Working Papers 04-22, Bank of Canada.
    37. G. Elliott & C. Granger & A. Timmermann (ed.), 2006. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 1, number 1.
    38. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1, May.
    39. Bernanke, Ben S, 1983. "Nonmonetary Effects of the Financial Crisis in Propagation of the Great Depression," American Economic Review, American Economic Association, vol. 73(3), pages 257-276, June.
    40. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    41. Sirio Aramonte & Samuel Rosen & John W. Schindler, 2017. "Assessing and Combining Financial Conditions Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 1-52, February.
    42. Kevin L. Kliesen & Michael T. Owyang & E. Katarina Vermann, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carrillo Julio A. & García Ana Laura, 2021. "The COVID-19 Economic Crisis in Mexico through the Lens of a Financial Conditions Index," Working Papers 2021-23, Banco de México.
    2. Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sirio Aramonte & Samuel Rosen & John W. Schindler, 2017. "Assessing and Combining Financial Conditions Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 1-52, February.
    2. Philipp Schnabl, 2012. "The International Transmission of Bank Liquidity Shocks: Evidence from an Emerging Market," Journal of Finance, American Finance Association, vol. 67(3), pages 897-932, June.
    3. Chava, Sudheer & Purnanandam, Amiyatosh, 2011. "The effect of banking crisis on bank-dependent borrowers," Journal of Financial Economics, Elsevier, vol. 99(1), pages 116-135, January.
    4. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    5. C. Cahn & A. Duquerroy & W. Mullins, 2017. "Unconventional Monetary Policy and Bank Lending Relationships," Working papers 659, Banque de France.
    6. Ozan Güler & Mike Mariathasan & Klaas Mulier & Nejat G. Okatan, 2021. "The real effects of banks' corporate credit supply: A literature review," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1252-1285, July.
    7. Daniel Paravisini & Veronica Rappoport & Philipp Schnabl & Daniel Wolfenzon, 2015. "Dissecting the Effect of Credit Supply on Trade: Evidence from Matched Credit-Export Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 333-359.
    8. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    9. Filippo Ippolito & Ali K. Ozdagli & Ander Pérez Orive, 2013. "Is bank debt special for the transmission of monetary policy? Evidence from the stock market," Economics Working Papers 1384, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Ikhlaas Gurrib, 2018. "Can an Energy Futures Index Predict US Stock Market Index Movements?," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 230-240.
    11. Rémy Charleroy & Michael A. Stemmer, 2014. "An Emerging Market Financial Conditions Index: A VAR Approach," Documents de travail du Centre d'Economie de la Sorbonne 14068, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    12. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    13. Kilian Huber, 2015. "The Persistence of a Banking Crisis," Discussion Papers 1532, Centre for Macroeconomics (CFM).
    14. Rhys Bidder & John Krainer & Adam Shapiro, 2021. "De-leveraging or de-risking? How banks cope with loss," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 100-127, January.
    15. Iyer, Rajkamal & Da-Rocha-Lopes, Samuel & Peydró, José-Luis & Schoar, Antoinette, 2014. "Interbank Liquidity Crunch and the Firm Credit Crunch: Evidence from the 2007-2009 Crisis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(1), pages 347-372.
    16. Rhys Bidder & John Krainer & Adam Shapiro, 2021. "De-leveraging or de-risking? How banks cope with loss," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 100-127, January.
    17. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2010. "Credit supply - Identifying balance-sheet channels with loan applications and granted loans," Working Paper Series 1179, European Central Bank.
    18. Ongena, Steven & Peydró, José-Luis & Horen, Neeltje van, 2015. "Shocks Abroad, Pain at Home? Bank-Firm Level Evidence on the International Transmission of Financial Shocks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63(4), pages 698-750.
    19. Milne, Alistair & Wood, Geoffrey, 2009. "The bank lending channel reconsidered," Research Discussion Papers 2/2009, Bank of Finland.
    20. Tobias Berg & Daniel Streitz & Michael Wedow, 2015. "Real Effects of Securitization," BAFFI CAREFIN Working Papers 1514, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

    More about this item

    Keywords

    This paper proposes a methodology for constructing a Financial Conditions Indicator (FCI) based on factor analysis and the approaches of Brave and Butters (2011) and Aramonte et al. (2013). A selected set of variables is used and their information content aggregated into a single index that summarizes the overall financial conditions of the economy. The approach is further employed to forecast economic activity. An empirical exercise for Brazil is provided to illustrate the methodology; in which a reduced-form equation is employed to point forecast the growth rate of the Brazilian economy. In addition; a quantile regression technique is used to construct density forecasts and generate probability density functions of future economic activity. Finally; a risk analysis is conducted within this set-up in order to compute conditional probabilities of the growth rate of the economy to be above/below a given scenario; which might be useful for both academics and policymakers’ concerns.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:idb:brikps:8488. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Felipe Herrera Library (email available below). General contact details of provider: https://edirc.repec.org/data/iadbbus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.