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Christian Fries

Personal Details

First Name:Christian
Middle Name:
Last Name:Fries
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RePEc Short-ID:pfr89
http://www.christian-fries.de

Research output

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Jump to: Working papers Articles

Working papers

  1. Christian Fries & Joerg Kampen, 2010. "Global existence, regularity and a probabilistic scheme for a class of ultraparabolic Cauchy problems," Papers 1002.5031, arXiv.org, revised Oct 2012.
  2. Fries, Christian P., 2010. "Discounting Revisited. Valuations under Funding Costs, Counterparty Risk and Collateralization," MPRA Paper 23082, University Library of Munich, Germany, revised 30 May 2010.
  3. Christian P. Fries & Joerg Kampen, 2005. "Proxy simulation schemes using likelihood ratio weighted Monte Carlo for generic robust Monte-Carlo sensitivities and high accuracy drift approximation (with applications to the LIBOR Market Model)," Finance 0504010, University Library of Munich, Germany.
  4. Christian Fries, 2005. "The Foresight Bias in Monte-Carlo Pricing of Options with Early," Finance 0511002, University Library of Munich, Germany, revised 08 Nov 2005.

Articles

  1. Christian Fries & Fabian Eckstaedt, 2009. "A hybrid Markov-Functional model with simultaneous calibration to the interest rate and FX smile," Quantitative Finance, Taylor & Francis Journals, vol. 11(4), pages 587-597.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fries, Christian P., 2010. "Discounting Revisited. Valuations under Funding Costs, Counterparty Risk and Collateralization," MPRA Paper 23082, University Library of Munich, Germany, revised 30 May 2010.

    Cited by:

    1. N. Moreni & A. Pallavicini, 2014. "Parsimonious HJM modelling for multiple yield curve dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 199-210, February.
    2. Damiano Brigo & Qing Liu & Andrea Pallavicini & David Sloth, 2014. "Nonlinear Valuation under Collateral, Credit Risk and Funding Costs: A Numerical Case Study Extending Black-Scholes," Papers 1404.7314, arXiv.org.
    3. Bianchetti, Marco & Carlicchi, Mattia, 2012. "Markets Evolution After the Credit Crunch," MPRA Paper 44023, University Library of Munich, Germany.
    4. Marco Bianchetti & Mattia Carlicchi, 2013. "Markets Evolution After the Credit Crunch," Papers 1301.7078, arXiv.org.
    5. Andrea Pallavicini & Daniele Perini & Damiano Brigo, 2011. "Funding Valuation Adjustment: a consistent framework including CVA, DVA, collateral,netting rules and re-hypothecation," Papers 1112.1521, arXiv.org, revised Dec 2011.
    6. Marco, Bianchetti & Mattia, Carlicchi, 2012. "Interest Rates After The Credit Crunch: Multiple-Curve Vanilla Derivatives and SABR," MPRA Paper 42248, University Library of Munich, Germany.
    7. Lixin Wu, 2015. "Cva And Fva To Derivatives Trades Collateralized By Cash," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1-22.
    8. Damiano Brigo & Andrea Pallavicini, 2013. "CCPs, Central Clearing, CSA, Credit Collateral and Funding Costs Valuation FAQ: Re-hypothecation, CVA, Closeout, Netting, WWR, Gap-Risk, Initial and Variation Margins, Multiple Discount Curves, FVA?," Papers 1312.0128, arXiv.org, revised Dec 2013.
    9. Damiano Brigo, 2011. "Counterparty Risk FAQ: Credit VaR, PFE, CVA, DVA, Closeout, Netting, Collateral, Re-hypothecation, WWR, Basel, Funding, CCDS and Margin Lending," Papers 1111.1331, arXiv.org, revised Jun 2012.
    10. Tomasz R. Bielecki & Marek Rutkowski, 2013. "Valuation and hedging of OTC contracts with funding costs, collateralization and counterparty credit risk: Part 1," Papers 1306.4733, arXiv.org, revised Jun 2013.
    11. Jean-Paul Laurent & Philippe Amzelek & Joe Bonnaud, 2014. "An overview of the valuation of collateralized derivative contracts," Review of Derivatives Research, Springer, vol. 17(3), pages 261-286, October.
    12. Marco Bianchetti, 2012. "The Zeeman Effect in Finance: Libor Spectroscopy and Basis Risk Management," Papers 1210.7329, arXiv.org.
    13. Andrea Pallavicini & Daniele Perini & Damiano Brigo, 2012. "Funding, Collateral and Hedging: uncovering the mechanics and the subtleties of funding valuation adjustments," Papers 1210.3811, arXiv.org, revised Dec 2012.
    14. Lixin Wu, 2013. "CVA and FVA to Derivatives Trades Collateralized by Cash," Papers 1302.0465, arXiv.org.
    15. Bert-Jan Nauta, 2015. "Liquidity Risk, Instead Of Funding Costs, Leads To A Valuation Adjustment For Derivatives And Other Assets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-30.
    16. Alessandro Gnoatto & Martino Grasselli, 2013. "An analytic multi-currency model with stochastic volatility and stochastic interest rates," Papers 1302.7246, arXiv.org, revised Mar 2013.

  2. Christian Fries, 2005. "The Foresight Bias in Monte-Carlo Pricing of Options with Early," Finance 0511002, University Library of Munich, Germany, revised 08 Nov 2005.

    Cited by:

    1. Beveridge, Christopher & Joshi, Mark & Tang, Robert, 2013. "Practical policy iteration: Generic methods for obtaining rapid and tight bounds for Bermudan exotic derivatives using Monte Carlo simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1342-1361.
    2. Lindset, Snorre & Lund, Arne-Christian, 2007. "A Monte Carlo approach for the American put under stochastic interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1081-1105, April.

Articles

  1. Christian Fries & Fabian Eckstaedt, 2009. "A hybrid Markov-Functional model with simultaneous calibration to the interest rate and FX smile," Quantitative Finance, Taylor & Francis Journals, vol. 11(4), pages 587-597.

    Cited by:

    1. Antonis Papapantoleon, 2010. "Old and new approaches to LIBOR modeling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(3), pages 257-275, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (2) 2005-04-16 2005-11-05
  2. NEP-FIN: Finance (1) 2005-11-05
  3. NEP-FMK: Financial Markets (1) 2005-11-05

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