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David Murphy

Not to be confused with: David M. A. Murphy

Personal Details

First Name:David
Middle Name:
Last Name:Murphy
Suffix:
RePEc Short-ID:pmu590
[This author has chosen not to make the email address public]

Affiliation

Bank of England

London, United Kingdom
http://www.bankofengland.co.uk/
RePEc:edi:boegvuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Rodney Garratt & David Murphy & Travis D. Nesmith & Xiaopeng Wu, 2023. "Optimal Bidder Selection in Clearing House Default Auctions," Finance and Economics Discussion Series 2023-033, Board of Governors of the Federal Reserve System (U.S.).
  2. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.
  3. Houllier, Melanie & Murphy, David, 2017. "Borderline: judging the adequacy of return distribution estimation techniques in initial margin models," Bank of England working papers 673, Bank of England.
  4. Murphy, David & Vasios, Michalis & Vause, Nicholas, 2016. "A comparative analysis of tools to limit the procyclicality of initial margin requirements," Bank of England working papers 597, Bank of England.
  5. Braithwaite, Jo & Murphy, David, 2016. "Got to be certain: The legal framework for CCP default management processes," Bank of England Financial Stability Papers 37, Bank of England.
  6. Gurrola-Perez, Pedro & Murphy, David, 2015. "Filtered historical simulation Value-at-Risk models and their competitors," Bank of England working papers 525, Bank of England.
  7. Edwin Budding & David Murphy, 2014. "Design Choices in Central Clearing: Issues Facing Small Advanced Economies," Reserve Bank of New Zealand Analytical Notes series AN2014/08, Reserve Bank of New Zealand.
  8. Murphy, David & Vasios, Michalis & Vause, Nick, 2014. "Financial Stability Paper No 29: An investigation into the procyclicality of risk-based initial margin models," Bank of England Financial Stability Papers 29, Bank of England.
  9. Murphy, David & Nahai-Williamson, Paul, 2014. "Financial Stability Paper 30: Dear Prudence, won’t you come out to play? Approaches to the analysis of CCP default fund adequacy," Bank of England Financial Stability Papers 30, Bank of England.
  10. David Murphy, 2012. "Maintaining Confidence," FMG Special Papers sp216, Financial Markets Group.

Articles

  1. Jo Braithwaite & David Murphy, 2019. "Improving resolvability: partial property transfers and central counterparties," Capital Markets Law Journal, Oxford University Press, vol. 14(4), pages 431-450.
  2. Murphy, David, 2012. "The systemic risks of OTC derivatives central clearing," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 5(3), pages 319-334, June.
  3. David Murphy, 2009. "The causes of the credit crunch: a backwards look?," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 775-790.
  4. David Murphy, 2008. "A preliminary enquiry into the causes of the Credit Crunch," Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 435-451.

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. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.

    Cited by:

    1. Sirio Aramonte & Andreas Schrimpf & Hyun Song Shin, 2023. "Non-bank financial intermediaries and financial stability," Chapters, in: Refet S. Gürkaynak & Jonathan H. Wright (ed.), Research Handbook of Financial Markets, chapter 7, pages 147-170, Edward Elgar Publishing.
    2. Grothe, Magdalena & Pancost, N. Aaron & Tompaidis, Stathis, 2023. "Collateral competition: Evidence from central counterparties," Journal of Financial Economics, Elsevier, vol. 149(3), pages 536-556.
    3. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.

  2. Murphy, David & Vasios, Michalis & Vause, Nicholas, 2016. "A comparative analysis of tools to limit the procyclicality of initial margin requirements," Bank of England working papers 597, Bank of England.

    Cited by:

    1. CHEN, Yuanyuan & WU, Qi & LI, Duan, 2023. "Counter-cyclical Margins for Option Portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Elena Goldman & Xiangjin Shen, 2018. "Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement," Staff Working Papers 18-21, Bank of Canada.
    3. Corradin, Stefano & Heider, Florian & Hoerova, Marie, 2017. "On collateral: implications for financial stability and monetary policy," Working Paper Series 2107, European Central Bank.
    4. Bakoush, Mohamed & Gerding, Enrico H. & Wolfe, Simon, 2019. "Margin requirements and systemic liquidity risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 78-95.
    5. Paul Glasserman & Qi Wu, 2017. "Persistence and Procyclicality in Margin Requirements," Working Papers 17-01, Office of Financial Research, US Department of the Treasury.
    6. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.
    7. Váradi, Kata & Ladoniczki, Sára Kata, 2018. "Elszámolóházak alapbiztosítéki követelményeinek számítási módszertana [Numerical methodology in the basic insurance requirements of clearing houses]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 780-809.
    8. Berlinger, Edina & Dömötör, Barbara & Illés, Ferenc, 2019. "Anti-cyclical versus risk-sensitive margin strategies in central clearing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 117-131.
    9. Grothe, Magdalena & Pancost, N. Aaron & Tompaidis, Stathis, 2023. "Collateral competition: Evidence from central counterparties," Journal of Financial Economics, Elsevier, vol. 149(3), pages 536-556.
    10. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.
    11. Lannoo, Karel & Thomadakis, Apostolos, 2020. "Derivatives in Sustainable Finance," ECMI Papers 29791, Centre for European Policy Studies.
    12. Chen, Yan & Yu, Wenqiang, 2020. "Setting the margins of Hang Seng Index Futures on different positions using an APARCH-GPD Model based on extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    13. Melinda Friesz & Kira Muratov-Szabó & Andrea Prepuk & Kata Váradi, 2021. "Risk Mutualization in Central Clearing: An Answer to the Cross-Guarantee Phenomenon from the Financial Stability Viewpoint," Risks, MDPI, vol. 9(8), pages 1-19, August.
    14. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.

  3. Braithwaite, Jo & Murphy, David, 2016. "Got to be certain: The legal framework for CCP default management processes," Bank of England Financial Stability Papers 37, Bank of England.

    Cited by:

    1. Darrell Duffie, 2018. "Financial Regulatory Reform After the Crisis: An Assessment," Management Science, INFORMS, vol. 64(10), pages 4835-4857, October.
    2. Karimalis, Emmanouil & Kosmidis, Ioannis & Peters, Gareth, 2017. "Multi yield curve stress-testing framework incorporating temporal and cross tenor structural dependencies," Bank of England working papers 655, Bank of England.
    3. Melinda Friesz & Kira Muratov-Szabó & Andrea Prepuk & Kata Váradi, 2021. "Risk Mutualization in Central Clearing: An Answer to the Cross-Guarantee Phenomenon from the Financial Stability Viewpoint," Risks, MDPI, vol. 9(8), pages 1-19, August.

  4. Gurrola-Perez, Pedro & Murphy, David, 2015. "Filtered historical simulation Value-at-Risk models and their competitors," Bank of England working papers 525, Bank of England.

    Cited by:

    1. Jaume Belles-Sampera & Montserrat Guillen & Miguel Santolino, 2023. "Haircut Capital Allocation as the Solution of a Quadratic Optimisation Problem," Mathematics, MDPI, vol. 11(18), pages 1-17, September.
    2. Cui, Zhenyu & Kirkby, J. Lars & Nguyen, Duy, 2021. "A data-driven framework for consistent financial valuation and risk measurement," European Journal of Operational Research, Elsevier, vol. 289(1), pages 381-398.
    3. Allen, David & Lizieri, Colin & Satchell, Stephen, 2020. "A comparison of non-Gaussian VaR estimation and portfolio construction techniques," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 356-368.
    4. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    5. Claude Martini & Arianna Mingone, 2023. "A closed form model-free approximation for the Initial Margin of option portfolios," Papers 2306.16346, arXiv.org.
    6. Junyao Chen & Tony Sit & Hoi Ying Wong, 2019. "Simulation-based Value-at-Risk for Nonlinear Portfolios," Papers 1904.09088, arXiv.org.
    7. Westgaard, Sjur & Fleten, Stein-Erik & Negash, Ahlmahz & Botterud, Audun & Bogaard, Katinka & Verling, Trude Haugsvaer, 2021. "Performing price scenario analysis and stress testing using quantile regression: A case study of the Californian electricity market," Energy, Elsevier, vol. 214(C).
    8. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    9. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2022. "Estimating risks of option books using neural-SDE market models," Papers 2202.07148, arXiv.org.
    10. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    11. Weronika Ormaniec & Marcin Pitera & Sajad Safarveisi & Thorsten Schmidt, 2022. "Estimating value at risk: LSTM vs. GARCH," Papers 2207.10539, arXiv.org.
    12. Hollyman, Ross & Petropoulos, Fotios & Tipping, Michael E., 2021. "Understanding forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 294(1), pages 149-160.
    13. Jae‐Yun Jun & Victor Lebreton & Yves Rakotondratsimba, 2021. "Forecasting negative yield‐curve distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 367-386, April.
    14. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.
    15. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  5. Edwin Budding & David Murphy, 2014. "Design Choices in Central Clearing: Issues Facing Small Advanced Economies," Reserve Bank of New Zealand Analytical Notes series AN2014/08, Reserve Bank of New Zealand.

    Cited by:

    1. Jorge Cruz Lopez & Mark Manning, 2017. "Who Pays? CCP Resource Provision in the Post-Pittsburgh World," Discussion Papers 17-17, Bank of Canada.

  6. Murphy, David & Vasios, Michalis & Vause, Nick, 2014. "Financial Stability Paper No 29: An investigation into the procyclicality of risk-based initial margin models," Bank of England Financial Stability Papers 29, Bank of England.

    Cited by:

    1. Anderson, Nicola & Webber, Lewis & Noss, Joseph & Beale, Daniel & Crowley-Reidy, Liam, 2015. "Financial Stability Paper 34: The resilience of financial market liquidity," Bank of England Financial Stability Papers 34, Bank of England.
    2. Murphy, David & Vasios, Michalis & Vause, Nicholas, 2016. "A comparative analysis of tools to limit the procyclicality of initial margin requirements," Bank of England working papers 597, Bank of England.
    3. Baranova, Yuliya & Liu, Zijun & Noss, Joseph, 2016. "The role of collateral in supporting liquidity," Bank of England working papers 609, Bank of England.
    4. Hitoshi Hayakawa, 2018. "Does a central clearing counterparty reduce liquidity needs?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 9-50, April.
    5. G. Thomas Kingsley & Travis D. Nesmith & Anna L. Paulson & Todd Prono, 2019. "Central Clearing and Systemic Liquidity Risk," Working Paper Series WP 2019-12, Federal Reserve Bank of Chicago.
    6. Glaser, Florian & Panz, Sven, 2016. "(Pro?)-cyclicality of collateral haircuts and systemic illiquidity," ESRB Working Paper Series 27, European Systemic Risk Board.
    7. Cenedese, Gino & Ranaldo, Angelo & Vasios, Michalis, 2018. "OTC premia," Bank of England working papers 751, Bank of England.
    8. Garratt, Rodney & Zimmerman, Peter, 2020. "Centralized netting in financial networks," Journal of Banking & Finance, Elsevier, vol. 112(C).
    9. Corradin, Stefano & Heider, Florian & Hoerova, Marie, 2017. "On collateral: implications for financial stability and monetary policy," Working Paper Series 2107, European Central Bank.
    10. Edwin Budding & David Murphy, 2014. "Design Choices in Central Clearing: Issues Facing Small Advanced Economies," Reserve Bank of New Zealand Analytical Notes series AN2014/08, Reserve Bank of New Zealand.
    11. Injun Hwang & Baeho Kim, 2022. "A systemic change of measure from central clearing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1738-1754, September.
    12. Umar Faruqui & Wenqian Huang & Előd Takáts, 2018. "Clearing risks in OTC derivatives markets: the CCP-bank nexus," BIS Quarterly Review, Bank for International Settlements, December.
    13. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.
    14. Berlinger, Edina & Dömötör, Barbara & Illés, Ferenc, 2019. "Anti-cyclical versus risk-sensitive margin strategies in central clearing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 117-131.
    15. Shi, Ruoshi & Zhao, Yanlong & Bao, Ying & Peng, Cheng, 2022. "Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    16. Ms. Froukelien Wendt, 2015. "Central Counterparties: Addressing their Too Important to Fail Nature," IMF Working Papers 2015/021, International Monetary Fund.
    17. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.
    18. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2022. "Estimating risks of option books using neural-SDE market models," Papers 2202.07148, arXiv.org.
    19. Rod Garratt & Peter Zimmerman, 2015. "Does central clearing reduce counterparty risk in realistic financial networks?," Staff Reports 717, Federal Reserve Bank of New York.
    20. Nikil Chande & Nicholas Labelle, 2016. "Using Speed and Credit Limits to Address the Procyclicality of Initial Margin at Central Counterparties," Discussion Papers 16-18, Bank of Canada.
    21. Rahman, Arshadur, 2015. "Over-the-counter (OTC) derivatives, central clearing and financial stability," Bank of England Quarterly Bulletin, Bank of England, vol. 55(3), pages 283-294.
    22. Kazeem O. Salaam, 2015. "Procyclicality Effects on Bank Lending Decisions: A Case Study of the British Banking Sector," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(2), pages 185-194, April.
    23. De Genaro, Alan, 2016. "Systematic multi-period stress scenarios with an application to CCP risk management," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 119-134.
    24. Thomas B. King & Travis D. Nesmith & Anna Paulson & Todd Prono, 2023. "Central Clearing and Systemic Liquidity Risk," International Journal of Central Banking, International Journal of Central Banking, vol. 19(4), pages 85-142, October.
    25. Melinda Friesz & Kira Muratov-Szabó & Andrea Prepuk & Kata Váradi, 2021. "Risk Mutualization in Central Clearing: An Answer to the Cross-Guarantee Phenomenon from the Financial Stability Viewpoint," Risks, MDPI, vol. 9(8), pages 1-19, August.
    26. Dietrich Domanski & Leonardo Gambacorta & Cristina Picillo, 2015. "Central clearing: trends and current issues," BIS Quarterly Review, Bank for International Settlements, December.
    27. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.

  7. Murphy, David & Nahai-Williamson, Paul, 2014. "Financial Stability Paper 30: Dear Prudence, won’t you come out to play? Approaches to the analysis of CCP default fund adequacy," Bank of England Financial Stability Papers 30, Bank of England.

    Cited by:

    1. Rodney Garratt & David Murphy & Travis D. Nesmith & Xiaopeng Wu, 2023. "Optimal Bidder Selection in Clearing House Default Auctions," Finance and Economics Discussion Series 2023-033, Board of Governors of the Federal Reserve System (U.S.).
    2. Berndsen, Ron, 2020. "Five Fundamental Questions on Central Counterparties," Discussion Paper 2020-028, Tilburg University, Center for Economic Research.
    3. Mark Paddrik & H. Peyton Young, 2021. "Assessing the Safety of Central Counterparties," Working Papers 21-02, Office of Financial Research, US Department of the Treasury.
    4. Claudio Albanese & Yannick Armenti & Stéphane Crépey, 2020. "XVA Metrics for CCP Optimisation," Post-Print hal-03910114, HAL.
    5. Dorinel Bastide & Stéphane Crépey & Samuel Drapeau & Mekonnen Tadese, 2022. "Derivatives Risks as Costs in a One-Period Network Model," Post-Print hal-03910144, HAL.
    6. Russell Barker & Andrew Dickinson & Alex Lipton & Rajeev Virmani, 2016. "Systemic Risks in CCP Networks," Papers 1604.00254, arXiv.org.
    7. Dorinel Bastide & Stéphane Crépey & Samuel Drapeau & Mekonnen Tadese, 2022. "Derivatives Risks as Costs in a One-Period Network Model," Working Papers hal-03554577, HAL.
    8. Dorinel Bastide & St'ephane Cr'epey & Samuel Drapeau & Mekonnen Tadese, 2022. "Derivatives Risks as Costs in a One-Period Network Model," Papers 2202.03248, arXiv.org, revised Feb 2022.

  8. David Murphy, 2012. "Maintaining Confidence," FMG Special Papers sp216, Financial Markets Group.

    Cited by:

    1. Leo Wangler & Juan-Carlos Altamirano-Cabrera & Hans-Peter Weikard, 2013. "The political economy of international environmental agreements: a survey," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 13(3), pages 387-403, September.

Articles

  1. David Murphy, 2009. "The causes of the credit crunch: a backwards look?," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 775-790.

    Cited by:

    1. Florence Guillaume & Wim Schoutens, 2014. "Heston Model: The Variance Swap Calibration," Journal of Optimization Theory and Applications, Springer, vol. 161(1), pages 76-89, April.

  2. David Murphy, 2008. "A preliminary enquiry into the causes of the Credit Crunch," Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 435-451.

    Cited by:

    1. Alves, Paulo & Morais, Francisco, 2018. "Cash holdings are increasing and financial crisis strenghts it," MPRA Paper 83799, University Library of Munich, Germany.
    2. Rolf Poulsen & Klaus Reiner Schenk-Hoppe & Christian-Oliver Ewald, 2009. "Risk minimization in stochastic volatility models: model risk and empirical performance," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 693-704.
    3. Akbar, Saeed & Rehman, Shafiq ur & Ormrod, Phillip, 2013. "The impact of recent financial shocks on the financing and investment policies of UK private firms," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 59-70.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 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-RMG: Risk Management (7) 2013-01-07 2015-03-13 2016-02-29 2016-03-06 2016-05-08 2017-09-10 2021-12-20. Author is listed
  2. NEP-BAN: Banking (5) 2013-01-07 2015-03-13 2016-02-29 2016-03-06 2016-05-08. Author is listed
  3. NEP-CMP: Computational Economics (2) 2016-05-08 2021-12-20
  4. NEP-DES: Economic Design (1) 2023-06-19
  5. NEP-ECM: Econometrics (1) 2017-09-10
  6. NEP-ORE: Operations Research (1) 2021-12-20
  7. NEP-PKE: Post Keynesian Economics (1) 2016-05-08

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