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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 Management in Emerging Economies: A Parametric Value-at-Risk (VaR) model with Indirect Calibration and an Application to the Bolivian Financial System]

  • Gonzales-Martínez, Rolando

Time series of obligations with the public are important to liquidity risk management in emerging economies, but a traditional parametric VaR model could give imprecise measures of liquidity risk if the series do not approach a normal (Gaussian) distribution. To overcome this flaw of parametric gaussian VaR models, this study suggest a parametric VaR model with indirect calibration (VaR-i) with a beta-parameter calibrated to be successful in backtesting tests, according to the empirical distribution of the data and not necessarily to the Gaussian distribution.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 14247.

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Date of creation: Jan 2009
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Handle: RePEc:pra:mprapa:14247
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  1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  2. 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.
  3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Sean D. Campbell, 2005. "A review of backtesting and backtesting procedures," Finance and Economics Discussion Series 2005-21, Board of Governors of the Federal Reserve System (U.S.).
  5. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 0075, European Central Bank.
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