Dr Serafin Martinez-Jaramillo Mexican Central Bank (Banco de Mexico) Visiting Fellow University of Essex email at banxico.org.mx: smartin

PhD Studies (October 2002 - June 2007) (thesis 6MB)
Serafin Martinez-Jaramillo joined the Computational Finance Group at University of Essex in 2002 as a PhD student. He registered under the Centre for Computational Finance and Economic Agents (CCFEA) and was supervised by Edward Tsang (School of Computer Science and Electronic Engineering) and Sheri Markose (Department of Economics).

Serafin passed his PhD viva on 29th June 2007 with minor corrections, which he completed shortly. He was examined by Bruce Edmonds (External Examiner, Manchester Metropolitan University, Centre for Policy Modelling, an authority in modelling) and Dietmar Maringer (Internal Examiner, CCFEA, an authority in portfolio optimization).

Research and Contributions
Serafin's project demands non-trivial knowledge in both economics and computation. In his PhD, Serafin produced a framework, CHASM (Co-evolutionary Heterogeneous Artificial Stock Market), for research in artificial markets. CHASM supports modelling of fundamental characteristics of real markets by instantiating different types and numbers of agents (including fundamental, technical, noise or hybrid agents). Technical traders are based on EDDIE, which were able to learn and improve its performance in the market.

This is the first piece of work of the kind that has produced prices exhibiting stylised facts, (i.e. similar to real market prices in terms of their statistical properties) without experimenter's intervention. Another major contribution of Serafin is that he has also identified minimum conditions under which stylised facts are exhibited.

CHASM download
(Due to time constraint, we can only provide technical support to our collaborators.)

Post Doctorate
From October 2006, Serafin worked as a financial analyst at the Mexican Central Bank. This year (2010), he has been sent by the Mexican Central Bank to participate in activities organized by IMF and Bank of England. He also represented the Mexican Central Bank to participate in a working group of the Financial Stability Board. This Board, which reports to the G20, is responsible for identifying data gaps to identify systemic linkages at international level.

Publications

• New book: Analyzing the Economics of Financial Market Infrastructures, Martin Diehl (Deutsche Bundesbank, Germany), Biliana Alexandrova-Kabadjova (Banco de México, Mexico), Richard Heuver (De Nederlandsche Bank, The Netherlands) and Serafín Martínez-Jaramillo (Banco de México, Mexico), 2015 (Forward by Agustín Carstens, Governor of the Bank of Mexico)
• Simulation in Computational Finance and Economics: Tools and Emerging Applications, Biliana Alexandrova-Kabadjova, Serafin Martinez-Jaramillo, Alma Lilia Garcia-Almanza and Edward Tsang, IGI-Global, 2012 (ISBN13: 9781466620117)
• Garci­a-Almanza A. L., B. Alexandrova-Kabadjova & S. Martinez-Jaramillo. (2010). Evolutionary Computational Techniques in Marketing, to appear in Encyclopedia of Machine Learning, Springer-Verlag Berlin Heidelberg 2010.
• Martinez-Jaramillo S., A. L. Garci­a-Almanza, B. Alexandrova-Kabadjova & T. Pena Centeno. (2010) Evolutionary Computation in Finance, to appear in Encyclopedia of Machine Learning, Springer-Verlag Berlin Heidelberg 2010.
• Martinez-Jaramillo S., B. Alexandrova-Kabadjova & A. L. Garci­a-Almanza. (2010). Evolutionary Computation in Economics, to appear in Encyclopedia of Machine Learning, Springer-Verlag Berlin Heidelberg 2010.
• Martinez-Jaramillo S., O. Perez-Perez, F. Avila-Embriz & F. Lopez-Gallo. (2010). Systemic Risk, Financial Contagion and Financial Fragility, to appear in Journal of Economic Dynamics and Control 2010.
• Pena Centeno, Tonatiuh, Martinez Jaramillo, Serafin & Abudu, Bolanle. (2010) Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques (December 17, 2009). Banco de Mexico Working Paper No. 2009-18. Available at SSRN: http://ssrn.com/abstract=1525947
• Martinez-Jaramillo, S., Artificial financial markets: an agent based approach to reproduce stylized facts and to study the Red Queen Effect, PhD Thesis, Centre for Computational Finance and Economic Agents (CCFEA), University of Essex, 2007 (Martinez-PhD2007.pdf 6MB)
• Martinez-Jaramillo, S. & Tsang, E.P.K., An heterogeneous, endogenous and co-evolutionary GP-based financial market, IEEE Transactions on Evolutionary Computation, Vol.13, No.1, 2009, 33-55 (early version 1.5MB)
• Martinez-Jaramillo, S. & E.P.K. Tsang, Evolutionary Computation and Artificial Financial Markets, in A. Brabazon & M. O'Neill (eds.), Natural Computing in Computational Finance, Vol. 185, Springer-Verlag Berlin Heidelberg, 2009, 137-179
• Markose, E.P.K. Tsang & S.Martinez, The red queen principle and the emergence of efficient financial markets: an agent based approach, in: T.Lux, S.Reitz and E.Samanodou (Eds.) Nonlinear Dynamics and Heterogeneous Interacting Agents, Lecture Notes in Economics and Mathematical Systems 550, Springer, Berlin, Heidelberg, 2005 (Proceedings, 8th Workshop on economics and heterogeneous interacting agents (WEHIA), Kiel, Germany, Springer-Verlag, 2004) Markose-RedQueen-Wehia2004.pdf (2.5MB)
• Marquez Diez Canedo, J & Martinez-Jaramillo, S., A network model of systemic risk: stress testing the banking system, Intelligent Systems in Accounting, Finance and Management, Vol.16, 2009, 87-110 (Martinez-StressTesting-ISAF_2009.pdf 700K)
• E.P.K. Tsang & S.Martinez-Jaramillo, Computational Finance, IEEE Computational Intelligence Society Newsletter, August 2004, 3-8 TsangMartinez-CompFinance-Ieee_conneCtIonS2004.pdf (310K)

Event Organized:
Workshop and Seminar on Computational Finance & Economics, Bank of Mexico, on 17 & 18 October 2012