Biography:Rama Cont

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Rama Cont
Born
Rama Cont

(1972-06-30) 30 June 1972 (age 51)
Tehran, Iran
Nationality Iran
Alma materÉcole Polytechnique
Known forSystemic risk modelling, Functional Ito calculus, Pathwise Ito calculus, Model risk, Liquidity at risk
Awards
  • Louis Bachelier Prize (2010)[1]
  • Royal Society Award for Excellence in Interdisciplinary Research(2017)[2]
  • SIAM Fellow (2017)[3]
Scientific career
Fields
Institutions
ThesisDes marches aléatoires aux marchés aléatoires. Modélisation statistique des marchés financiers: études empiriques et approches théoriques.[4] (1998)
Doctoral advisorJean-Philippe Bouchaud[5]
Websitepeople.maths.ox.ac.uk/rama.cont/

Rama Cont is the Professor of Mathematical Finance at the University of Oxford.[6] [7] He is known for contributions to probability theory, stochastic analysis and mathematical modelling in finance, in particular mathematical models of systemic risk.[3] He was awarded the Louis Bachelier Prize by the French Academy of Sciences in 2010.

Biography

Born in Tehran (Iran), Cont obtained his undergraduate degree from Ecole Polytechnique (France),[7] a master's degree in theoretical physics from Ecole Normale Superieure and a degree in Chinese Language from Institut national des langues et civilisations orientales.[8] His doctoral thesis focused on the application of Lévy processes in financial modelling.

Career and achievements

Cont started his career as a CNRS researcher in applied mathematics at Ecole Polytechnique (France) in 1998 and held academic positions at Ecole Polytechnique, Columbia University and Imperial College London.[8] He was appointed 'Directeur de Recherche CNRS' (CNRS Senior Research Scientist) in 2008 and was chair of mathematical finance at Imperial College London[9] from 2012 to 2018. He was elected Statutory Professor in Mathematical Finance at the Oxford Mathematical Institute and professorial fellow of St Hugh's College, Oxford in 2018.[10][11]

Cont's research focuses on probability theory, stochastic analysis and mathematical modelling in finance.[12] His mathematical work focuses on pathwise methods in stochastic analysis [13] and the Functional Ito calculus.[14]

In quantitative finance he is known in particular for his work on models based on jump processes,[15] the stochastic modelling of limit order books as queueing systems [16] ,[17] machine learning methods in finance [18] and the mathematical modelling of systemic risk.[19] [20] He was editor in chief of the Encyclopedia of Quantitative Finance.[21]

Cont has served as advisor to central banks and international organizations such as the International Monetary Fund and the Bank for International Settlements on stress testing and systemic risk monitoring. His work on network models, financial stability and central clearing [22] has influenced central banks and regulators .[23] He has given numerous media interviews[24] [25][26][27] [28] on issues related to systemic risk and financial regulation.

Scientific contributions

Causal functional calculus

Cont is known in mathematics for his the "Causal functional calculus", a calculus for non-anticipative, or "causal", functionals on the space of paths.[29] Cont and collaborators built on the seminal work of German mathematician Hans Föllmer [30] and Bruno Dupire to construct a calculus for non-anticipative functionals,[31] which includes as a special case the so-called Ito-Föllmer calculus, a pathwise counterpart of Ito's stochastic calculus. [32] Subsequent work by Cont and Nicolas Perkowski [33] extended the Ito-Föllmer calculus to functions and functionals of more general irregular paths with non-zero p-th order variation.

Systemic risk modeling

Work by Cont and his collaborators on mathematical modeling of systemic risk and financial stability, in particular on network models of financial contagion and the modeling of indirect contagion via 'fire sales', has influenced academic research and policy in this area.[23][34]

Central clearing

Cont's research on central clearing in over-the-counter (OTC) markets has influenced risk management practices of central counterparties and regulatory thinking on central clearing.[35] Cont has argued that central clearing does not eliminate counterparty risk but transforms it into liquidity risk, therefore risk management and stress testing of central counterparties should focus on liquidity risk and liquidity resources, not capital.[36]

Risk measurement and Model risk

Cont introduced a rigorous approach for the assessment of model risk [37] which has been influential in the design of model risk management frameworks in financial institutions. [38][39][40]

Cont, Deguest and Scandolo[41] introduced the concept of 'risk measurement procedure', an empirical counterpart of the notion of risk measure, and defined a robust class of risk measurement procedures known as 'Range Value-at-risk' (RVaR), a robust alternative to Expected shortfall.[42]

Cont, Kotlicki and Valderrama define the concept of Liquidity at risk,[43] as the amount of liquid assets needed by a financial institution to face liquidity outflows in this scenario.

Awards and honours

Cont was awarded the Louis Bachelier Prize by the French Academy of Sciences in 2010 for his work on mathematical modelling of financial markets.[1] He was elected Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2017 for "contributions to stochastic analysis and mathematical finance".[3] He received the Award for Excellence in Interdisciplinary Research (APEX) from the Royal Society in 2017 for his research on mathematical modelling of systemic risk.[2] [44]

Publications

  • Cont, Rama; Perkowski, Nicolas (2020). "Pathwise integration and change of variable formulas for continuous paths with arbitrary regularity". Transactions of the American Mathematical Society 6 (5): 161-186. doi:10.1090/btran/34. 

References

  1. ↑ 1.0 1.1 London Mathematical Society. "Louis Bachelier Prize". https://www.lms.ac.uk/prizes/louisbachelierprize. 
  2. ↑ 2.0 2.1 "APEX Awards | Royal Society". https://royalsociety.org/grants-schemes-awards/grants/apex-awards/2017-award-holders/. 
  3. ↑ 3.0 3.1 3.2 Society for Industrial and Applied Mathematics. "SIAM Fellows: Class of 2017". http://fellows.siam.org/index.php?sort=year&value=2017. 
  4. ↑ "Rama Cont - the Mathematics Genealogy Project". https://www.genealogy.math.ndsu.nodak.edu/id.php?id=55850&fChrono=1. 
  5. ↑ Rama Cont at the Mathematics Genealogy Project
  6. ↑ "Prof. Rama Cont | Mathematical Institute". https://www.maths.ox.ac.uk/people/rama.cont. 
  7. ↑ 7.0 7.1 "Rama Cont - Who's Who". https://www.whoswho.fr/bio/rama-cont_70037. 
  8. ↑ 8.0 8.1 "Rama Cont's CV". Deutsche GesellSchaft fuer Versicherungs und Finanzmathematik. https://aktuar.de/custom/download/dav/termine/2011-JT/Scientific-Day/SD%20MV11-CV_Cont.pdf. 
  9. ↑ "Home - Professor Rama Cont". https://www.imperial.ac.uk/people/r.cont. 
  10. ↑ "Appointments". Oxford University. 2018. http://www.ox.ac.uk/gazette/2017-2018/18january2018-no5191/notices/#264221. 
  11. ↑ "Rama Cont appointed to the Professorship of Mathematical Finance in Oxford". Oxford University. 2018. https://www.maths.ox.ac.uk/node/27599. 
  12. ↑ http://rama.cont.perso.math.cnrs.fr/
  13. ↑ Ananova, Anna; Cont, Rama (2017). "Pathwise integration with respect to paths of finite quadratic variation". Journal de Mathématiques Pures et Appliquées 107 (6): 737–757. doi:10.1016/j.matpur.2016.10.004. 
  14. ↑ Bally, Vlad; Caramellino, Lucia; Cont, Rama (2016). Stochastic Integration by Parts and Functional Itô Calculus. Advanced Courses in Mathematics - CRM Barcelona. doi:10.1007/978-3-319-27128-6. ISBN 978-3-319-27127-9. 
  15. ↑ Cont, Rama; Tankov, Peter (2004). Financial Modelling with Jump Processes. CRC Press. ISBN 9781584884132. https://www.crcpress.com/Financial-Modelling-with-Jump-Processes/Tankov-Cont/p/book/9781584884132. 
  16. ↑ Cont, Rama; De Larrard, Adrien (2013). "Price Dynamics in a Markovian Limit Order Market". SIAM Journal on Financial Mathematics 4 (1): 1–25. doi:10.1137/110856605. 
  17. ↑ Cont, Rama; Stoikov, Sasha; Talreja, Rishi (2008). "A Stochastic Model for Order Book Dynamics". Operations Research 58 (7176): 340–344. doi:10.1287/opre.1090.0780. 
  18. ↑ Mannix, Rob (2018). "Neural network learns 'universal model' for stock-price moves". RISK. https://www.risk.net/asset-management/5447501/neural-network-learns-universal-model-for-stock-price-moves. 
  19. ↑ Systemic Risk: a challenge for Mathematical Modelling on YouTube
  20. ↑ Cont, Rama; Moussa, Amal; Santos, Edson Bastos (2013). "Network structure and systemic risk in banking systems". in Fouque, Jean-Pierre; Langsam, Joseph. Handbook of Systemic Risk. Cambridge University Press. doi:10.1017/CBO9781139151184.018. ISBN 9781107023437. http://rama.cont.perso.math.cnrs.fr/pdf/ContMoussaSantos.pdf. Retrieved 5 August 2018.  Alt URL
  21. ↑ Cont, Rama (2010). Encyclopedia of Quantitative Finance. Chichester: Wiley. ISBN 9780470057568. https://www.wiley.com/WileyCDA/Section/id-400799.html. 
  22. ↑ "Rama Cont - Central bank research hub". https://www.bis.org/cbhub/list/author/author_7847/index.htm. 
  23. ↑ 23.0 23.1 Yellen, Janet. "Interconnectedness and Systemic Risk: Lessons from the Financial Crisis and Policy Implications". https://www.federalreserve.gov/newsevents/speech/yellen20130104a.htm. 
  24. ↑ Cypel, Sylvain (17 September 2008). "Si AIG s'écroule, toute l'économie américaine est affectée". Le Monde.fr (Le Monde). https://www.lemonde.fr/ameriques/article/2008/09/17/si-aig-s-ecroule-toute-l-economie-americaine-est-affectee_1096124_3222.html. 
  25. ↑ ISDA AGM 2018: Rama Cont - Imperial College London. YouTube. Archived from the original on 2021-12-09.
  26. ↑ Cypel, Sylvain (3 May 2010). "Les "conflits d'intérêts" d'Abacus". Le Monde.fr (Le Monde). https://www.lemonde.fr/economie/article/2010/05/03/goldman-sachs-les-conflits-d-interets-d-abacus_1345879_3234.html. 
  27. ↑ Sorman, Guy. "Wild Randomness". Forbes (August 2009). https://www.forbes.com/2009/08/03/rama-cont-benoit-mandelbrot-columbia-economics-opinions-contributors-guy-sorman.html#69a529cd57fc. Retrieved 5 August 2018. 
  28. ↑ "Les chambres de compensation transforment le risque de contrepartie en risque de liquidité". 27 February 2017. https://www.louisbachelier.org/chambres-de-compensation-transforment-risque-de-contrepartie-risque-de-liquidite/. 
  29. ↑ Chiu, Henry; Cont, Rama (2022), "Causal Functional Calculus", Transactions of the London Mathematical Society 9 (1): 237–269, doi:10.1112/tlm3.12050 
  30. ↑ Föllmer, Hans (1981), "Calcul d'Ito sans probabilités.", Séminaire de probabilités de Strasbourg (Springer) 15, http://eudml.org/doc/113318, retrieved 2023-12-09 
  31. ↑ Cont, Rama; Fournie, David-Antoine (2010). "Change of variable formulas for non-anticipative functional on path space". Journal of Functional Analysis 259 (4): 1043–1072. doi:10.1016/j.jfa.2010.04.017. 
  32. ↑ Ananova, Anna; Cont, Rama (2017), "Pathwise integration with respect to paths of finite quadratic variation", Journal de Mathématiques Pures et Appliquées 107 (6): 737–757, doi:10.1016/j.matpur.2016.10.004 
  33. ↑ Cont, Rama; Perkowski, Nicolas (2020), "Pathwise integration and change of variable formulas for continuous paths with arbitrary regularity", Transactions of the American Mathematical Society 6 (5): 161-186, doi:10.1090/btran/34 
  34. ↑ [John Fell, Francesco Mazzaferro, Richard Portes, Eric Schaanning (2020) Fallen angels and indirect contagion: Rationale for and lessons from a system-wide analysis, 11 September 2020 https://voxeu.org/article/fallen-angels-and-indirect-contagion]
  35. ↑ Cont, Rama (2015), "The end of the waterfall: default resources of central counterparties", Journal of Risk Management in Financial Institutions (Henry Stewart Publications) 8, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2588986, retrieved 2020-12-09 
  36. ↑ Cont, Rama (2017), "Central clearing and risk transformation", Financial Stability Review (Banque de France) 21, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2919260, retrieved 2020-12-09 
  37. ↑ * Cont, Rama (2006). "Model Uncertainty and Its Impact on the Pricing of Derivative Instruments". Mathematical Finance 16 (3): 519–547. doi:10.1111/j.1467-9965.2006.00281.x. https://halshs.archives-ouvertes.fr/halshs-00002695/file/ModelRisk.pdf. 
  38. ↑ Morini, Massimo (2012). Understanding and Managing Model Risk: A Practical Guide for Quants, Traders and Validators. Wiley. doi:10.1002/9781118467312. ISBN 9781118467312. 
  39. ↑ http://nx.numerix.com/rs/numerix2/images/ModelRiskManagement_2015SlidesMerged.pdf [bare URL PDF]
  40. ↑ "Model risk". 17 September 2017. https://aziroff.com/model-risk/. 
  41. ↑ Cont, Rama; Deguest, Romain; Giacomo, Giacomo (2010). "Robustness and Sensitivity Analysis of Risk Measurement Procedures". Quantitative Finance 10 (6): 593–606. doi:10.1080/14697681003685597. https://hal.archives-ouvertes.fr/hal-00413729/file/robustriskarxiv.pdf. 
  42. ↑ Fissler, Tobias; Ziegel, Johanna F. (2021). "On the elicitability of range value at risk". Statistics & Risk Modeling 38 (1–2): 25–46. doi:10.1515/strm-2020-0037. 
  43. ↑ Cont, Rama; Kotlicki, Artur; Valderrama, Laura (2020). "Liquidity at Risk: Joint Stress Testing of Solvency and Liquidity". Journal of Banking and Finance 118: 105871. doi:10.1016/j.jbankfin.2020.105871. 
  44. ↑ Dunning, Hayley (3 November 2017). "Maths researcher awarded funding for interdisciplinary risk project". https://www.imperial.ac.uk/news/182887/maths-researcher-awarded-funding-interdisciplinary-risk/. 

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