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2007 | 2 | 2 | 89-94

Article title

Measuring Market Risk for Commercial Banks in the Volatile Environment of an Emerging Market Economy

Authors

Title variants

Languages of publication

EN

Abstracts

EN
Slovenian commercial banks have two possibilities for calculating capital charges for the market risks to which they are exposed. Due to the capital decree legislated by the Bank of Slovenia, they can use standardized methodology or apply an internal model. An internal model can be based on different risk measures, with each risk measure having its strengths and weaknesses. Consequently, the volume of risk calculated using a specific risk measure will vary among risk measures. Basel II regulation assumes VaR methodology for capital requirements calculations for the market risks to which commercial banks are exposed. There are two commonly used methods for VaR calculation - historical simulation and the variance-covariance method. Each has its strengths and weaknesses. The goal of this paper is to present the methodology of volatility and time weighted historical simulation as an internal model for market risk measurement in Slovenian commercial banks. The methodology is based on historical simulation and tries to remove the disadvantages of this method with GJR GARCH volatility modelling and the time weighting of returns.

Publisher

Year

Volume

2

Issue

2

Pages

89-94

Physical description

Dates

published
2007-11-01
online
2008-03-04

Contributors

author
  • Institute of Finance, Ulica Jozeta Jame 14 SI-1000 Ljubljana

References

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  • Bollerslev Tim, Kroner Chou Ray Y., Kenneth F. (1992): ARCH Modeling in Finance: A Review of the Theory and Empirical Evidence," Journal of Econometrics, Vol. 52, pp. 5-59.
  • Bollerslev Tim, Robert F. Engle, and David B. Nelson (1994): ARCH Models, Handbook of Econometrics, Volume IV, Chapter 49, pp. 2959-3038, Elsevier Science B. V.
  • Boudoukh Jacob, Richardson Matthew P., Whitelaw Robert (1998): The best of both worlds: A hybrid approach to calculating value at risk. National Bureau of Economic Research.
  • Campbell John Y., Lo Andrew W., MacKinlay Craig A. (1997): The econometrics of financial markets. Princeton: Princeton University Press.
  • Glosten, L. R., R. Jagannathan, and D. E. Runkle (1993): On the Relation Between Expected Value and the Volatility of the Nominal Excess Return on Stocks, The Journal of Finance, Vol. 48, pp. 1779-1801
  • Hamilton James D. (1994): Time Series Analysis, Princeton University Press.
  • John C. Hull, White A. (1998): Incorporating volatility updating into the historical simulation method for VaR. Journal of Risk, Vol. 1, pp. 5-19.
  • Poon Ser-Iluang, Granger Clive (2003): Forecasting volatility in financial markets: A review. Journal of Economic Literature, Vol. 41, pp. 478-539.
  • RiskMetrics Group (1999): Risk management: A practical guide. First edition.
  • Taylor S. J. (1986): Modelling financial time series. Chichester: John Wiley.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_v10033-007-0009-x
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