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Lévy random bridges and the modelling of financial information

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  • Hoyle, Edward
  • Hughston, Lane P.
  • Macrina, Andrea

Abstract

The information-based asset-pricing framework of Brody-Hughston-Macrina (BHM) is extended to include a wider class of models for market information. To model the information flow, we introduce a class of processes called Lévy random bridges (LRBs), generalising the Brownian bridge and gamma bridge information processes of BHM. Given its terminal value at T, an LRB has the law of a Lévy bridge. We consider an asset that generates a cash-flow XT at T. The information about XT is modelled by an LRB with terminal value XT. The price process of the asset is worked out, along with the prices of options.

Suggested Citation

  • Hoyle, Edward & Hughston, Lane P. & Macrina, Andrea, 2011. "Lévy random bridges and the modelling of financial information," Stochastic Processes and their Applications, Elsevier, vol. 121(4), pages 856-884, April.
    • Handle: RePEc:eee:spapps:v:121:y:2011:i:4:p:856-884
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    References listed on IDEAS

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    1. Rameshwar D. Gupta & Donald St. P. Richards, 2001. "The History of the Dirichlet and Liouville Distributions," International Statistical Review, International Statistical Institute, vol. 69(3), pages 433-446, December.
    2. Andrea Macrina & Priyanka A. Parbhoo, 2010. "Security Pricing with Information-Sensitive Discounting," World Scientific Book Chapters, in: Masaaki Kijima & Chiaki Hara & Keiichi Tanaka & Yukio Muromachi (ed.), Recent Advances In Financial Engineering 2009, chapter 6, pages 157-180, World Scientific Publishing Co. Pte. Ltd..
    3. Back, Kerry & Pedersen, Hal, 1998. "Long-lived information and intraday patterns," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 385-402, September.
    4. Fabrice Baudoin & Laurent Nguyen-Ngoc, 2004. "The financial value of a weak information on a financial market," Finance and Stochastics, Springer, vol. 8(3), pages 415-435, August.
    5. Barndorff-Nielsen, O. E. & Jørgensen, B., 1991. "Some parametric models on the simplex," Journal of Multivariate Analysis, Elsevier, vol. 39(1), pages 106-116, October.
    6. Hélyette Geman & Dilip B. Madan & Marc Yor, 2007. "Probing Option Prices for Information," Methodology and Computing in Applied Probability, Springer, vol. 9(1), pages 115-131, March.
    7. Andrea Macrina & Priyanka A. Parbhoo, 2010. "Security Pricing with Information-Sensitive Discounting," Papers 1001.3570, arXiv.org, revised Jun 2010.
    8. Baudoin, Fabrice, 0. "Conditioned stochastic differential equations: theory, examples and application to finance," Stochastic Processes and their Applications, Elsevier, vol. 100(1-2), pages 109-145, July.
    9. Dorje C. Brody & Lane P. Hughston & Andrea Macrina, 2008. "Information-Based Asset Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 107-142.
    10. Robert J. Elliott & Monique Jeanblanc, 1999. "Incomplete markets with jumps and informed agents," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 50(3), pages 475-492, December.
    11. Dorje C. Brody & Mark H. A. Davis & Robyn L. Friedman & Lane P. Hughston, 2008. "Informed Traders," Papers 0807.1253, arXiv.org, revised Nov 2008.
    12. Gupta, R. D. & Richards, D. S. P., 1995. "Multivariate Liouville Distributions, IV," Journal of Multivariate Analysis, Elsevier, vol. 54(1), pages 1-17, July.
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    3. Hoyle, Edward & Mengütürk, Levent Ali, 2013. "Archimedean survival processes," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 1-15.
    4. Mengütürk, Levent Ali, 2018. "Gaussian random bridges and a geometric model for information equilibrium," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 465-483.
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    6. Luke M. Bennett & Wei Hu, 2023. "Filtration enlargement‐based time series forecast in view of insider trading," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 112-140, February.
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    8. Levent Ali Mengütürk, 2023. "From Irrevocably Modulated Filtrations to Dynamical Equations Over Random Networks," Journal of Theoretical Probability, Springer, vol. 36(2), pages 845-875, June.
    9. Giovanni Conforti & Tetiana Kosenkova & Sylvie Rœlly, 2019. "Conditioned Point Processes with Application to Lévy Bridges," Journal of Theoretical Probability, Springer, vol. 32(4), pages 2111-2134, December.

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