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The Efficiency of GARCH Models in Realizing Value at Risk Estimates. (2020). Jeoabek, Toma.
In: ACTA VSFS.
RePEc:prf:journl:v:14:y:2020:i:1:p:32-50.

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  1. ABAD, P., S. BENITO, M. A. SNCHEZ-GRANERO and C. LÓPEZ (2016) Evaluating the performance of the skewed distributions to forecast Value at Risk in the Global Financial Crisis. Journal of Risk. 18(18), pp. 1–28.
    Paper not yet in RePEc: Add citation now
  2. ACTA VÅ FS, 1/2020, vol. 14, www.vsfs.cz/acta B JORION, P. (2007) Value at Risk: The New Benchmark for Managing Financial Risk. London: McGraw-Hill.
    Paper not yet in RePEc: Add citation now
  3. ALEXANDER, C. (2008) Market Risk Analysis: Value at Risk Models. Chichester: John Wiley & Sons Ltd.
    Paper not yet in RePEc: Add citation now
  4. BAMS, D., T. LEHNERT and C. WOLFF (2005) An evaluation framework for alternative VaRmodels. Journal of international money and finance. 24(6), pp. 944–958.

  5. BAUWENS, L. and S. LAURENT (2005) A New Class of Multivariate Skew Densities, with Application to Generalized Autoregressive Conditional Heteroscedasticity Models. Journal of Business and Economic Statistics. 23(3), pp. 346–355.

  6. BROOKS, C. (2008) Introductory econometrics for finance. Cambridge: Cambridge University Press.
    Paper not yet in RePEc: Add citation now
  7. CHRISTOFFERSEN, P. and F. X. DIEBOLD (2000) How relevant is volatility forecasting for financial risk management? Review of Economics and Statistics. 82(1), pp. 12–22.

  8. CHRISTOFFERSEN, P., J. HAHN and A. INOUE (2001) Testing and comparing Value-at-Risk measures. Journal of Empirical Finance. 8(3), pp. 325–342.

  9. DIAMANDIS, P. F., A. A. DRAKOS, G. P. KOURETAS and L. ZARANGAS (2001) Value-atrisk for long and short trading positions: Evidence from developed and emerging equity markets. International Review of Financial Analysis. 20(3), pp. 165–176.
    Paper not yet in RePEc: Add citation now
  10. EMBRECHTS, P., A. MCNEIL and D. STRAUMANN (2002) Correlation and dependence in risk management: properties and pitfalls. [online]. Risk management: value at risk and beyond [Access:April19,2017].Availableat:http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid =A5018F099FB450001B2586ACD8D84801?doi=10.1.1.72.4967&rep=rep1&type=pdf.
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  11. ENGLE, R. and S. MANGANELLI (2004) CAViaR: Conditional autoregressive value at risk by regression quantiles. Journal of Business & Economic Statistics. 22(4), pp. 367–382.

  12. GILLI, M. and E. KELLEZI (2006) An application of extreme value theory for measuring financial risk. Computational Economics. 27(2), pp. 207–228.

  13. GLOSTEN, L. R., R. JAGANNATHAN and D. E. RUNKLE (1993) On the relation between the expected value and the volatility of the nominal excess return on stock. Journal of Finance. 48(5), pp. 1779–1801.

  14. HARTZ‚ C.‚ S. MITTNIK a M. PAOLELLA (2006) Accurate Value-at-Risk Forecasting Based on the NormalGARCH Model. Computational Statistics and Data Analysis. 51(4), pp. 2295–2312.

  15. LONGIN, F. and B. SOLNIK (2001) Extreme correlation of international equity markets. The Journal of Finance. 56(2), pp. 649–676.

  16. MCNEIL, A. J. (1997) Estimating the tails of loss severity distributions using extreme value theory. Astin Bulletin. 27(1), pp. 117–138.

  17. MUTU, S., P. BALOGH and D. MOLDOVAN (2001) The efficiency of value at risk models on central and eastern European stock markets. International Journal of Mathematics and Computers in Simulation. 5(2), pp. 110–117.
    Paper not yet in RePEc: Add citation now
  18. PAFKA, S. and I. KONDOR (2001) Evaluating the RiskMetrics methodology in measuring volatility and Value-at-Risk in financial markets. [online]. Physica A: Statistical Mechanics and its Applications. [Access: February 2, 2017]. Available at: https://arxiv.org/pdf/ cond-mat/0103107.

  19. RADIVOJEVIC, N., M. CVJETKOVIC and S. STEPANOV (2016) The new hybrid value at risk approach based on the extreme value theory. Estudios de Economia. 43(1), pp. 29–52.

  20. SO, M. and P. YU (2006) Empirical analysis of GARCH models in value at risk estimation. Journal of International Financial Markets, Institutions and Money. 16(2), pp. 180–197.

  21. SOWDAGUR, V. and J. NARSOO (2017) Forecasting Value-at-Risk using GARCH and Extreme-Value-Theory Approaches for Daily Returns. International Journal of Statistics and Applications. 7(2), pp. 137–151.
    Paper not yet in RePEc: Add citation now

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