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Survey of Research on Financial Sector Modeling within DSGE Models: What Central Banks Can Learn from It

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  • Frantisek Brazdik
  • Michal Hlavacek
  • Ales Marsal

Abstract

This survey gives insight into the ongoing research in financial frictions modeling. The recent financial turmoil has fueled interest in operationalizing financial frictions concepts and introducing them into tools for policy makers. The rapid growth of the literature on these issues is the motivation for our review of the presented approaches. The empirical facts that motivate the inclusion of financial frictions are surveyed. This survey provides a description of the basic approaches for introducing financial frictions into dynamic stochastic general equilibrium models. The significance and empirical identification of the financial accelerator effect is then discussed. The role of financial frictions models in CNB monetary and macroprudential policy is also described. It is concluded that given the heterogeneity of the approaches to financial frictions it is beneficial for the conduct of monetary policy to focus on the development of satellite approaches. The role of financial frictions in DSGE models for macroprudential policy is also discussed, as these models can be used to generate stress-testing scenarios. It can be concluded that DSGE models with financial frictions could complement current stress-testing practice, but are not able to replace stress tests.

Suggested Citation

  • Frantisek Brazdik & Michal Hlavacek & Ales Marsal, 2011. "Survey of Research on Financial Sector Modeling within DSGE Models: What Central Banks Can Learn from It," Research and Policy Notes 2011/03, Czech National Bank.
  • Handle: RePEc:cnb:rpnrpn:2011/03
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    Cited by:

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    2. Chris Garbers & Guangling Dave Liu, 2016. "Credit market heterogeneity, balance sheet (in) dependence, financial shocks," Working Papers 633, Economic Research Southern Africa.
    3. Michal Dvorák & Zlatuše Komárková & Adam Kucera, 2019. "The Czech Government Yield Curve Decomposition at the Lower Bound," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(1), pages 2-36, February.
    4. Roos, Michael W. M., 2015. "The macroeconomics of radical uncertainty," Ruhr Economic Papers 592, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Rubio, Margarita & Carrasco-Gallego, José A., 2016. "The new financial regulation in Basel III and monetary policy: A macroprudential approach," Journal of Financial Stability, Elsevier, vol. 26(C), pages 294-305.
    6. Ales Marsal & Lorant Kaszab & Roman Horvath, 2017. "Government Spending and the Term Structure of Interest Rates in a DSGE Model," Working and Discussion Papers WP 3/2017, Research Department, National Bank of Slovakia.
    7. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, 2020. "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 251-273.
    8. repec:cnb:ocpubv:rb12/2 is not listed on IDEAS
    9. repec:cnb:ocpubv:rb11/2 is not listed on IDEAS
    10. Hadian , Mehdi, 2017. "Islamic Finance and the Fluctuations of Investment and Output: The Role of Monetary Policy," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(3), pages 277-293, July.
    11. Lathaporn Ratanavararak, 2018. "The Impact of Imperfect Financial Integration and Trade on Macroeconomic Volatility and Welfare in Emerging Markets," PIER Discussion Papers 79, Puey Ungphakorn Institute for Economic Research.
    12. Mikhail Stolbov, 2014. "International Credit Cycles: A Regional Perspective," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 21-47.
    13. Rubio, Margarita & Carrasco-Gallego, José A., 2014. "Macroprudential and monetary policies: Implications for financial stability and welfare," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 326-336.
    14. Hana Hejlová & Zlatuše Komárková & Marek Rusnák, . "A Liquidity Risk Stress-Testing Framework with Basel Liquidity Standards," Prague Economic Papers, University of Economics, Prague, vol. 0.
    15. Rodríguez, Aldo, 2020. "Estimación Bayesiana de un Modelo de Economía Abierta con Sector Bancario," Dynare Working Papers 52, CEPREMAP.
    16. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.
    17. Lenhle Dlamini & Harold Ngalawa, 2022. "Macroprudential policy and house prices in an estimated Dynamic Stochastic General Equilibrium model for South Africa," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 304-336, June.
    18. Clancy, Daragh & Merola, Rossana, 2017. "Countercyclical capital rules for small open economies," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 332-351.
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    More about this item

    Keywords

    DSGE models; financial accelerator; financial frictions.;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other

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