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Liquidity Risk in Energy Markets

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Mathematical Finance

Part of the book series: Trends in Mathematics ((TM))

Abstract

We describe how to incorporate the dynamic effects connected with the Liquidity Risk(LR)in the standard “static” Value at Risk(VaR)methodology. An integral-like equation was derived to define aliquidation timefor a particular instrument (any financial derivative). Furthermore, we show that dynamicLRfor the total portfolio may be calculated through the specialrenormalization ofthe weights/positionsofeachofthe portfolio constituents.

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References

  1. J.P. Morgan. “RiskMetrics”.Technical Document.Forth Edition, 1996, New York.

    Google Scholar 

  2. F.X. Diebold, A. Hickman, A. Inoue and T. Schuermann. “Scale Models”.Risk1998,N 11 (January), p.104–107.

    Google Scholar 

  3. R. Jarrow and A. Subramanian. “Mopping up Liquidity”.Risk1997,N 10 (December), p.170–173.

    Google Scholar 

  4. F. Longstaff. “Optimal Portfolio Choice and Valuation of Illiquid Securities”.Preprint.1998. UCLA, Department of Finance.

    Google Scholar 

  5. A.S. Mello and J.E. Parsons. “Hedging and Liquidity”.The Review of Financial Studies2000, Vol. 13,N 1, p. 127–153.

    Article  Google Scholar 

  6. R. Frey. “Market Illiquidity as a Source of Model Risk in Dynamic Hedging”.PreprintSwiss Banking Institute, University of Zürich. 2000 February, 14 p.;Conference on Intertemporal Finance - Workshop:Mathematical FinanceOct. 5–7, 2000, Center of Finance and Econometrics, University of Konstanz, Germany, p.53–54.

    Google Scholar 

  7. A. Bangia, F.X. Diebold, T. Schuermann and J.D. Stroughair. “Modeling Liquidity Risk With Implications for Traditional Market Risk Measurement and Management”.Preprint.The Wharton School, Financial Institutions Center, University of Pennsylvania, 1999, June, 16 p.

    Google Scholar 

  8. P.F.Christoffersen, F.X. Diebold and T. Schuermann. “Horizon Problems and Extreme Events in Financial Risk Management”.Economic Policy Review.1998, October, p.109–118.

    Google Scholar 

  9. F.C. Dorst and T.E. Nijman. “Temporal Aggregation of GARCH Processes”.Econometrica61: 909–27, 1993.

    Article  MathSciNet  Google Scholar 

  10. G. Keers. “The over value ofV aR”. Energy & Power Risk ManagementFebruary 2000, p.30–31.

    Google Scholar 

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© 2001 Springer Basel AG

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Nagornii, S., Dozeman, G. (2001). Liquidity Risk in Energy Markets. In: Kohlmann, M., Tang, S. (eds) Mathematical Finance. Trends in Mathematics. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8291-0_25

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  • DOI: https://doi.org/10.1007/978-3-0348-8291-0_25

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9506-4

  • Online ISBN: 978-3-0348-8291-0

  • eBook Packages: Springer Book Archive

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