IDEAS home Printed from https://ideas.repec.org/a/udc/esteco/v28y2001i2p217-247.html
   My bibliography  Save this article

Value at risk: teoría y aplicaciones

Author

Listed:
  • Christian A.Johnson

Abstract

El concepto de Value at Risk (valor del riesgo) se ha popularizado hace ya casi una década. Este artículo describe el significado de este concepto, y presenta aplicaciones sobre carteras de activos de bonos, acciones, forwards de tasa de interés y de tipos de cambio, y swaps. Se introducen asimetrías en la metodología de generación de volatilidades, a través de modelos de heteroscedasticidad asimétricos, de manera de proyectar mejor los niveles de riesgo futuros. Adicionalmente, se discute la metodología de ajuste del Value at Risk en un escenario de iliquidez de los activos que conforman un portafolio. Para esta situación se presenta un mecanismo de ajuste para el cálculo del indicador de riesgo de mercado VaR. Finalmente se efectúa una aplicación metodológica a una muestra de tres instituciones financieras analizando las volatilidades de las utilidades operacionales

Suggested Citation

  • Christian A.Johnson, 2001. "Value at risk: teoría y aplicaciones," Estudios de Economia, University of Chile, Department of Economics, vol. 28(2 Year 20), pages 217-247, December.
  • Handle: RePEc:udc:esteco:v:28:y:2001:i:2:p:217-247
    as

    Download full text from publisher

    File URL: http://www.econ.uchile.cl/uploads/publicacion/d21e154f-3899-428d-9a68-255c3a876963.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Johnson, Christian A., 2001. "Un modelo de intervención cambiaria," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(271), pages 339-367, julio-sep.
    2. repec:bla:jfinan:v:43:y:1988:i:3:p:617-37 is not listed on IDEAS
    3. Jeremy Berkowitz & James M. O'Brien, 2001. "How accurate are Value-at-Risk models at commercial banks?," Finance and Economics Discussion Series 2001-31, Board of Governors of the Federal Reserve System (U.S.).
    4. Anil Bangia & Francis X. Diebold & Til Schuermann & John D. Stroughair, 1998. "Modeling Liquidity Risk With Implications for Traditional Market Risk Measurement and Management," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-062, New York University, Leonard N. Stern School of Business-.
    5. Hentschel, Ludger, 1995. "All in the family Nesting symmetric and asymmetric GARCH models," Journal of Financial Economics, Elsevier, vol. 39(1), pages 71-104, September.
    6. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    7. Grossman, S.J. & Miller, M.H., 1988. "Liquidity And Market Structure," Papers 88, Princeton, Department of Economics - Financial Research Center.
    8. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    9. Hols, Martien C A B & de Vries, Casper G, 1991. "The Limiting Distribution of Extremal Exchange Rate Returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 287-302, July-Sept.
    10. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    11. Ajay Subramanian & Robert A. Jarrow, 2001. "The Liquidity Discount," Mathematical Finance, Wiley Blackwell, vol. 11(4), pages 447-474, October.
    12. Patricia Jackson & David Maude & William Perraudin, 1998. "Bank Capital and Value at Risk," Bank of England working papers 79, Bank of England.
    13. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    14. Christian Andrew Johnson, 2000. "Métodos de Evaluación del Riesgo para Portafolios de Inversión," Working Papers Central Bank of Chile 67, Central Bank of Chile.
    15. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Nikola Radivojevic & Milena Cvjetkovic & Saša Stepanov, 2016. "The new hybrid value at risk approach based on the extreme value theory," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 29-52, June.
    2. Solange M. Berstein & Rómulo A. Chumacero, 2006. "Quantifying the costs of investment limits for Chilean pension funds," Fiscal Studies, Institute for Fiscal Studies, vol. 27(1), pages 99-123, March.
    3. Gonzales-Martínez, Rolando, 2008. "Medidas de Riesgo Financiero y una Aplicación a las Variaciones de Depósitos del Sistema Financiero Boliviano [Risk Measures and an Application to the Withdrawals of Deposits in the Bolivian Financ," MPRA Paper 14700, University Library of Munich, Germany.
    4. Solange Berstein & Rómulo Chumacero, 2005. "Cuantificación de los Costos de los Limites de Inversión para los Fondos de Pensiones Chilenos," Working Papers 3, Superintendencia de Pensiones, revised Apr 2005.
    5. Pedauga Sánchez, Luis Enrique, 2003. "Modelo de intervención cambiaria para el caso venezolano [Exchange intervention model for Venezuelan]," MPRA Paper 35407, University Library of Munich, Germany.
    6. Greg Brunner & Richard Hinz & Roberto Rocha, 2008. "Risk-based Supervision of Pension Funds : Emerging Practices and Challenges," World Bank Publications - Books, The World Bank Group, number 6419.

    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. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    2. Jos Van Bommel & Jay Dahya & Zhihong Shi, 2010. "An empirical investigation of the speed of information aggregation: a study of IPOs," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(1), pages 47-79.
    3. Christian A. Johnson, 2000. "Value at Risk Ajustado por Liquidez: Una Aplicación a los Bonos Soberanos Chilenos," Working Papers Central Bank of Chile 76, Central Bank of Chile.
    4. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
    5. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    6. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    7. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    8. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, University Library of Munich, Germany.
    9. Buczyński Mateusz & Chlebus Marcin, 2018. "Comparison of Semi-Parametric and Benchmark Value-At-Risk Models in Several Time Periods with Different Volatility Levels," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(2), pages 67-82, June.
    10. Angelidis, Timotheos & Benos, Alexandros & Degiannakis, Stavros, 2004. "The Use of GARCH Models in VaR Estimation," MPRA Paper 96332, University Library of Munich, Germany.
    11. Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat & Wang, Yintian, 2008. "Option valuation with long-run and short-run volatility components," Journal of Financial Economics, Elsevier, vol. 90(3), pages 272-297, December.
    12. Matthew Pritsker, 2005. "Large investors: implications for equilibrium asset, returns, shock absorption, and liquidity," Finance and Economics Discussion Series 2005-36, Board of Governors of the Federal Reserve System (U.S.).
    13. Gonzales-Martínez, Rolando, 2009. "La Gestión de Riesgo de Liquidez en Economías Emergentes: Un Modelo Valor-en-Riesgo (VaR) Paramétrico de Calibración Indirecta y una Aplicación al Sistema Financiero Boliviano [Liquidity Risk Manag," MPRA Paper 14247, University Library of Munich, Germany.
    14. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    15. Sun, Yiguo & Stengos, Thanasis, 2006. "Semiparametric efficient adaptive estimation of asymmetric GARCH models," Journal of Econometrics, Elsevier, vol. 133(1), pages 373-386, July.
    16. Casarin, Roberto & Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio, 2013. "Risk management of risk under the Basel Accord: A Bayesian approach to forecasting Value-at-Risk of VIX futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 183-204.
    17. repec:uts:finphd:39 is not listed on IDEAS
    18. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    19. Adrián F. Rossignolo, 2021. "The New Standardised Approach as a Credible Fallback," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-27, Septiembr.
    20. Paul Brockman & Dennis Y. Chung, 1999. "Bid-Ask Spread Components In An Order-Driven Environment," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(2), pages 227-246, June.
    21. de Jesús, Raúl & Ortiz, Edgar & Cabello, Alejandra, 2013. "Long run peso/dollar exchange rates and extreme value behavior: Value at Risk modeling," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 139-152.

    More about this item

    Keywords

    Value at Risk; GARCH; Volatility.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:udc:esteco:v:28:y:2001:i:2:p:217-247. 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: Verónica Kunze (email available below). General contact details of provider: https://edirc.repec.org/data/deuclcl.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.