Deconstrucción del riesgo sistémicoun método de prueba de resistencia inversa

  1. Javier Ojea Ferreiro 1
  1. 1 Instituto Complutense de Análisis Económico (ICAE)
Documentos de trabajo ( CNMV )

ISSN: 2172-6337

Argitalpen urtea: 2021

Zenbakia: 74

Orrialdeak: 1-44

Mota: Laneko dokumentua

Beste argitalpen batzuk: Documentos de trabajo ( CNMV )


El sector financiero se ve acechado por diferentes eventos sistémicos. Identificar pronto estos eventos es un paso clave para controlar y seguir la pista de posibles crisis financieras. El riesgo sistémico suscita tres preguntas principales relacionadas con su cuantificación, su probabilidad de ocurrencia y el papel de los principales contribuyentes. Este artículo propone una metodología que se basa en un ejercicio de prueba de resistencia inversa para arrojar luz sobre estas cuestiones. De él se obtienen series temporales e información transversal sobre el riesgo sistémico. Además, exploramos cómo estos resultados de la evaluación sistémica podrían cambiar según los parámetros clave en un marco gaussiano y, finalmente, llevamos a cabo un pequeño ejercicio empírico.

Erreferentzia bibliografikoak

  • Acerbi, C. y Tasche, D. (2002). «On the coherence of Expected Shortfall». Journal of Banking and Finance, Vol. 26, pp. 1487–1503.
  • Acharya, V., Engle, R. y Richardson, M. (2012). «Capital shortfall: A new approach to ranking and regulating systematic risks». American Economic Review, Vol. 102, n.º 3, pp. 59–64.
  • Adrian, T. y Brunnermeier, M. K. (2016). «CoVaR». The American Economic Review, Vol. 106, n.º 7, pp. 1705–1741.
  • Artzner, P., Delbaen, F., Eber, J. M. y Heath, D. (1999). «Coherent measures of risk». Mathematical finance, Vol. 9, n.º 3, pp. 203–228.
  • Banulescu, G. D. y Dumitrescu, E. I. (2015). «Which are the SIFIs? A component expected shortfall approach to systemic risk». Journal of Banking & Finance, Vol. 50, pp. 575–588.
  • Benoit, S., Colletaz, G., Hurlin, C. y Pérignon, C. (2013). A Theoretical and Empirical Comparison of Systemic Risk Measures. Working Papers halshs-00746272, HAL.
  • Benoit, S., Colliard, J. E., Hurlin, C. y Pérignon, C. (2017). «Where the risks lie: A survey on systemic risk». Review of Finance, Vol. 21, n.º 1, pp. 109–152.
  • Bernanke, B. (2009). «Financial Reform to Address Systemic Risk». Speech delivered at the Council on Foreign Relations.
  • Bernanke, B. (2010). «Causes of the Recent Financial and Economic Crisis». Statement of the FED Chairman before the Financial Crisis Inquiry Commission.
  • Bernard, C., Brechmann, E. C. y Czado, C. (2013). «Statistical assessments of systemic risk measures». Handbook on Systemic Risk, pp. 165–179.
  • BOE (2008). Circular 3/2008, de 11 de septiembre, de la Comisión Nacional del Mercado de Valores sobre normas contables, cuentas anuales y estados de información reservada de las instituciones de inversión colectiva.
  • Boot, A. W. A. y Ratnovski, L. (2012). Banking and Trading. CEPR Discussion Papers, n.º 9148, C.E.P.R. Discussion Papers.
  • Bowman, A. y Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations, Volume 18. OUP Oxford.
  • Braverman, A. y Minca, A. (2018). «Networks of common asset holdings: aggregation and measures of vulnerability». The Journal of Network Theory in Finance, Vol. 4, n.º 3.
  • Brownlees, C. y Engle, R. F. (2016). «Srisk: A conditional capital shortfall measure of systemic risk». The Review of Financial Studies, Vol. 30, n.º 1, pp. 48–79.
  • Burzoni, M., Peri, I. y Ruffo, C. M. (2017). «On the properties of the lambda value at risk: robustness, elicitability and consistency». Quantitative Finance, Vol. 17, n.º 11, pp. 1735– 1743.
  • Cambón, M. I. y Losada, R. (2014). «Competition and structure of the mutual fund industry in Spain: The role of credit institutions». The Spanish Review of Financial Economics, Vol. 12, n.º 2, pp. 58–71.
  • Chen, H., Cohen, L. y Gurun, U. (2019). Don’t take their word for it: The misclassification of bond mutual funds. National Bureau of Economic Research, Technical report.
  • Chen, K. H. y Khashanah, K. (2014). Measuring systemic risk: Copula CoVaR. Stevens Institute of Technology, Technical report.
  • Constâncio, V. (2017). «Macroprudential stress-tests and tools for the non-bank sector ». ESRB Annual Conference.
  • Cont, R. y Wagalath, L.(2016). «Institutional investors and the dependence structure of asset returns». International Journal of Theoretical and Applied Finance, Vol. 19, n.º 02.
  • Duarte, F. y Eisenbach, T. (2015). Fire-sale spillovers and systemic risk. Staff Report N.º 645. Technical report.
  • ECB (2010a). Analytical models and tools for the identification and assessment of systemic risks. Financial Stability Review, Technical report. Junio.
  • ECB (2010b). New quantitative measures of systemic risk. Financial Stability Review, Technical report. Diciembre.
  • ESMA (2015). Report on trends, risks and vulnerabilities. Technical Report n.º 2.
  • ESMA (2019). Stress simulation for investment funds. Economic Report.
  • Farhi, E. y Tirole, J. (2012). «Collective Moral Hazard, Maturity Mismatch, and Systemic Bailouts». American Economic Review, Vol. 102, n.º 1, pp. 60–93.
  • Ferreiro, J. O. (2018). Contagion spillovers between sovereign and financial European sector from a delta CoVaR approach. Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Documentos de Trabajo del ICAE n.º 2018-12.
  • Frittelli, M., Maggis, M. y Peri, I. (2014). «Risk measures on and value at risk with probability/loss function». Mathematical Finance, Vol. 24, n.º 3, pp. 442–463.
  • FSB (2017). Transforming shadow banking into resilient market-based finance: Rehypothecation and collateral re-use: Potential financial stability issues, market evolution and regulatory approaches. Technical Report. January.
  • Girardi, G. y Ergün, A. T. (2013). «Systemic risk measurement: Multivariate GARCH estimation of CoVaR». Journal of Banking and Finance, Vol. 37, n.º 8, pp. 3169–3180.
  • Guntay, L. y Kupiec, P. (2014). Taking the risk out of systemic risk measurement. American Enterprise Institute (AEI) Research Paper, Technical Report.
  • Hitaj, A., Mateus, C. y Peri, I. (2018). «Lambda value at risk and regulatory capital: A dynamic approach to tail risk». Risks, Vol. 6, n.º 1, p. 17.
  • International Monetary Fund, Bank for International Settlements y Financial Stability Board (2010). «Guidance to assess the systemic importance of financial institutions, markets and instruments: Initial considerations: Report to the G-20 Finance Ministers and Central Bank Governors». Staff of the International Monetary Fund and the Bank for International Settlements, and the Secretariat of the Financial Stability Board.
  • Jaworski, P., Durante, F., Hardle, W. K. y Rychlik, T. (2010). Copula theory and its applications, Vol. 198. Springer.
  • Joe, H. (2014). Dependence Modeling with Copulas. Chapman and Hall/CRC.
  • Kleinow, J., Moreira, F., Strobl, S. y Vähämaa, S. (2017). «Measuring systemic risk: A comparison of alternative market-based approaches». Finance Research Letters, Vol. 21, pp. 40–46.
  • Laeven, L., Ratnovski, L. y Tong, H. (2014). «Bank Size and Systemic Risk». IMF Staff Discussion Notes 14/4, International Monetary Fund.
  • Leon Li, M. Y. y Lin, H. W. (2004). «Estimating value-at-risk via Markov switching arch models – An empirical study on stock index returns». Applied Economics Letters, Vol. 11, n.º 11, pp. 679–691.
  • Löffler, G. y Raupach, P. (2017). «Pitfalls in the use of systemic risk measures». Journal of Financial and Quantitative Analysis.
  • Lucas, A., Schwaab, B. y Zhang, X. (2014). «Conditional euro area sovereign default risk». Journal of Business & Economic Statistics, Vol. 32, n.º 2, pp. 271–284.
  • Mainik, G. y Schaanning, E. (2014). «On dependence consistency of CoVar and some other systemic risk measures». Statistics and Risk Modeling, Vol. 31, n.º 1, pp. 49–77.
  • Rose, A. y Wieladek, T. (2012). Too big to fail: some empirical evidence on the causes and consequences of public banking interventions in the United Kingdom. Bank of England, Working Papers n.º. 460.
  • Salleo, C., Homar, T. y Kick, H. (2016). Making sense of the EU wide stress test: a comparison with the SRISK approach. European Central Bank, Working Paper Series n.º 1920.
  • Scott, H. S., Ricci, K. y Sarfatti, A. (2016). SRISK as a Measure of Systemic Risk for Insurers: Oversimplified and Inappropriate. Harvard Law School, Working Paper.
  • Shleifer, A. y Vishny, R. W. (2009). Unstable Banking. National Bureau of Economic Research, Inc., NBER, Working Papers n.º 14943.
  • Trichet, J. C. (2009). Clare Distinguished Lecture in Economics and Public Policy». Speech at University of Cambridge organised by the Clare College.
  • Zhang, J. (2015). Systemic Risk Measure: CoVaR and Copula. Ph. D. thesis, Humboldt- Universität zu Berlin.