IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/14120.html
   My bibliography  Save this paper

Un método de Cálculo y Temporización de Previsiones Cíclicas para el Sistema Financiero Boliviano
[The calculation and timing of cyclical provisions in the Bolivian financial system]

Author

Listed:
  • Gonzales-Martínez, Rolando
  • Hurtado, Enrique
  • Valdivia, Pedro

Abstract

The constitution of cyclical provisions is related to the effects of latent credit risk in the financial institutions, a risk that materializes during an economic downturn. This study proposes a method both to calculate the amount of cyclical provisions and to estimate the timing of this type of provisions. The calculation is based on the optimization of a partitioned matrix that contains the optimal combinations of percentages of cyclical provisions for each category of risk and for every type of credit. The timing depends upon an indicator that reflects the quality of the credit portfolio in the financial institutions across time.

Suggested Citation

  • Gonzales-Martínez, Rolando & Hurtado, Enrique & Valdivia, Pedro, 2008. "Un método de Cálculo y Temporización de Previsiones Cíclicas para el Sistema Financiero Boliviano [The calculation and timing of cyclical provisions in the Bolivian financial system]," MPRA Paper 14120, University Library of Munich, Germany, revised Feb 2009.
    • Handle: RePEc:pra:mprapa:14120
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/14120/1/MPRA_paper_14120.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hildergart Ahumada & Lorena Garegnani, 1999. "Hodrik – Prescott filter in practice," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(4), pages 61-76.
    2. Santiago Fernández de Lis & Jorge Martínez Pagés & Jesús Saurina, 2001. "Credit growth, problem loans and credit risk provisioning in Spain," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 331-353, Bank for International Settlements.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    Full references (including those not matched with items on IDEAS)

    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. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.
    2. Ageliki Anagnostou & Ioannis Panteladis & Maria Tsiapa, 2015. "Disentangling different patterns of business cycle synchronicity in the EU regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 615-641, August.
    3. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
    4. Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
    5. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    6. Martínez, Juan Francisco & Oda, Daniel, 2021. "Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
    7. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
    8. Liang, Kuo-Yuan & Yen, Chen-Hui, 2014. "Dissecting the cycles: An intermarket investigation and its implications to portfolio reallocation," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 39-51.
    9. Dewald, William G. & Haug, Alfred A., 2004. "Longer-term effects of monetary growth on real and nominal variables, major industrial countries, 1880-2001," Working Paper Series 382, European Central Bank.
    10. Huseyin Cagri Akkoyun & Bahar Sen Dogan & Mahmut Gunay, 2011. "Turkiye Ekonomisi Is Cevrimlerinin Kuresel Ekonomi ile Iliskisi," CBT Research Notes in Economics 1119, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Lake, James & Linask, Maia K., 2016. "Could tariffs be pro-cyclical?," Journal of International Economics, Elsevier, vol. 103(C), pages 124-146.
    12. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    13. Mathy, Gabriel P. & Meissner, Christopher M., 2011. "Business cycle co-movement: Evidence from the Great Depression," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 362-372.
    14. Claudio Barbieri & Mattia Guerini & Mauro Napoletano, 2021. "The anatomy of government bond yields synchronization in the Eurozone," SciencePo Working papers Main hal-03373853, HAL.
    15. Uebele, Martin, 2011. "National and international market integration in the 19th century: Evidence from comovement," Explorations in Economic History, Elsevier, vol. 48(2), pages 226-242, April.
    16. Gabriel J. Felbermayr & Jasmin Katrin Gröschl & Benedikt Heid, 2020. "Quantifying the Supply and Demand Effects of Natural Disasters Using Monthly Trade Data," CESifo Working Paper Series 8798, CESifo.
    17. Ricardo Mourinho Félix & Vanda Almeida, 2006. "Computing Potential Output and the Output Gap for the Portuguese Economy," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    18. Nath, Hiranya K., 2016. "A note on the cyclical behavior of sectoral employment in the U.S," Economic Analysis and Policy, Elsevier, vol. 50(C), pages 52-61.
    19. Botshekan, Mahmoud & Lucas, André, 2017. "Long-Term versus Short-Term Contingencies in Asset Allocation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(5), pages 2277-2303, October.
    20. Viv B. Hall & Peter Thomson, 2021. "Does Hamilton’s OLS Regression Provide a “better alternative” to the Hodrick-Prescott Filter? A New Zealand Business Cycle Perspective," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 151-183, November.

    More about this item

    Keywords

    regulación financiera; previsiones cíclicas; ciclos económicos; riesgo de crédito;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:14120. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.