Rama Cont

Rama Cont is the Professor of Mathematical Finance at the University of Oxford.[7] [8] 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.

Rama Cont
Born
Rama Cont

(1972-06-30) 30 June 1972
Tehran, Iran
Nationality Iran
Alma materÉcole Polytechnique
Known forSystemic risk modelling, Functional Ito calculus, Pathwise Ito calculus, Model risk
Awards
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]
InfluencesBenoit Mandelbrot[6]
Websitepeople.maths.ox.ac.uk/rama.cont/

Biography

Born in Tehran (Iran), Cont obtained his undergraduate degree from Ecole Polytechnique (France),[8] 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.[9] 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.[9] He was appointed 'Directeur de Recherche CNRS' (CNRS Senior Research Scientist) in 2008 and was chair of mathematical finance at Imperial College London[10] from 2012 to 2018. He was named Statutory Professor in Mathematical Finance at the Oxford Mathematical Institute and professorial fellow of St Hugh’s College, Oxford in 2018.[11][12]

Cont's research focuses on probability theory, stochastic analysis and mathematical modelling in finance.[13] His mathematical work focuses on pathwise methods in stochastic analysis [14] and the Functional Ito calculus.[15]

In quantitative finance he is known in particular for his work on models based on jump processes,[16] the stochastic modelling of limit order books as queueing systems [17] ,[18] machine learning methods in finance [19] and the mathematical modelling of systemic risk.[20] [21] He was editor in chief of the Encyclopedia of Quantitative Finance.[22]

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 [23] has influenced central banks and regulators .[24] He has given numerous media interviews[25] [26][27][6] [28] on issues related to systemic risk and financial regulation.

Scientific contributions

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.[24][29]

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.[30] 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.[31]

Risk measurement and Model risk

Cont introduced a rigorous approach for the assessment of model risk [32] which has been influential in the design of model risk management frameworks in financial institutions. [33][34][35]

Cont, Deguest and Scandolo[36] 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.[37]

Cont, Kotlicki and Valderrama define the concept of Liquidity at risk,[38] 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] [39]

Publications

References
  1. London Mathematical Society. "Louis Bachelier Prize". LMS. Retrieved 5 August 2018.
  2. https://royalsociety.org/grants-schemes-awards/grants/apex-awards/2017-award-holders/
  3. Society for Industrial and Applied Mathematics. "SIAM Fellows: Class of 2017". SIAM. Retrieved 5 August 2018.
  4. https://www.genealogy.math.ndsu.nodak.edu/id.php?id=55850&fChrono=1
  5. Rama Cont at the Mathematics Genealogy Project
  6. Sorman, Guy. "Wild Randomness". Forbes (August 2009). Retrieved 5 August 2018.
  7. https://www.maths.ox.ac.uk/people/rama.cont
  8. https://www.whoswho.fr/bio/rama-cont_70037
  9. "Rama Cont's CV" (PDF). Deutsche GesellSchaft fuer Versicherungs und Finanzmathematik. Retrieved 2018-08-03.
  10. https://www.imperial.ac.uk/people/r.cont
  11. "Appointments". Oxford Gazette. Oxford University. 2018. Retrieved 22 January 2018.
  12. "Rama Cont appointed to the Professorship of Mathematical Finance in Oxford". Oxford University. 2018. Retrieved 1 February 2018.
  13. http://rama.cont.perso.math.cnrs.fr/
  14. 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. S2CID 16318176.
  15. 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.
  16. Cont, Rama; Tankov, Peter (2004). Financial Modelling with Jump Processes. CRC Press. ISBN 9781584884132.
  17. Cont, Rama; De Larrard, Adrien (2013). "Price Dynamics in a Markovian Limit Order Market". SIAM Journal on Financial Mathematics. 4 (1): 1–25. arXiv:1104.4596. doi:10.1137/110856605. S2CID 1238587.
  18. 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.
  19. Mannix, Rob (2018). "Neural network learns 'universal model' for stock-price moves". RISK.
  20. Systemic Risk: a challenge for Mathematical Modelling on YouTube
  21. Cont, Rama; Moussa, Amal; Santos, Edson Bastos (2013). "Network structure and systemic risk in banking systems". In Fouque, Jean-Pierre; Langsam, Joseph (eds.). Handbook of Systemic Risk. Cambridge University Press. CiteSeerX 10.1.1.637.587. doi:10.1017/CBO9781139151184.018. ISBN 9781107023437. Archived from the original (PDF) on 1 Aug 2013. Retrieved 5 August 2018.
  22. Cont, Rama (2010). Encyclopedia of Quantitative Finance. Chichester: Wiley. ISBN 9780470057568.
  23. "Rama Cont - Central bank research hub". BIS. Retrieved 5 August 2018.
  24. Yellen, Janet. "Interconnectedness and Systemic Risk: Lessons from the Financial Crisis and Policy Implications". Board of Governors of the Federal Reserve System. Retrieved 5 August 2018.
  25. Cypel, Sylvain. "Si AIG s'écroule, toute l'économie américaine est affectée". LeMonde.fr. Le Monde. Retrieved 5 August 2018.
  26. https://www.youtube.com/watch?v=NwxaIqR0ADE
  27. Cypel, Sylvain. "Les "conflits d'intérêts" d'Abacus". Le Monde. Le Monde. Retrieved 5 August 2018.
  28. https://www.louisbachelier.org/chambres-de-compensation-transforment-risque-de-contrepartie-risque-de-liquidite/
  29. [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]
  30. Cont, Rama (2015), "The end of the waterfall: default resources of central counterparties", Journal of Risk Management in Financial Institutions, Henry Stewart Publications, 8, SSRN 2588986, retrieved 2020-12-09
  31. Cont, Rama (2017), "Central clearing and risk transformation", Financial Stability Review, Banque de France, 21, SSRN 2919260, retrieved 2020-12-09
  33. Morini, Massimo (2012). Understanding and Managing Model Risk: A Practical Guide for Quants, Traders and Validators. Wiley. doi:10.1002/9781118467312. ISBN 9781118467312.
  34. http://nx.numerix.com/rs/numerix2/images/ModelRiskManagement_2015SlidesMerged.pdf
  35. https://aziroff.com/model-risk/
  36. Cont, Rama; Deguest, Romain; Giacomo, Giacomo (2010). "Robustness and Sensitivity Analysis of Risk Measurement Procedures" (PDF). Quantitative Finance. 10 (6): 593–606. doi:10.1080/14697681003685597. S2CID 158678050.
  37. Fissler, Tobias; Ziegel, Johanna F. (2019). "Evaluating Range Value at Risk Forecasts". arXiv:1902.04489 [math.ST].
  38. 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.
  39. Dunning, Hayley. "Maths researcher awarded funding for interdisciplinary risk project". Imperial College London. Retrieved 5 August 2018.
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