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Professor SHERI MARKOSE Economics Department FOUNDER DIRECTOR (2002-2009July): CENTRE FOR COMPUTATIONAL FINANCE AND ECONOMIC AGENTS (CCFEA) (On Study Leave Aug 09-Oct 11) |
Short Biog |
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ˇMarch 2011- 30 Dec 2011 Systemic Risk From Global Financial Derivatives
Sheri Markose was appointed by the Department of Monetary and Capital Markets of the International Monetary Fund to lead research on a project on modelling systemic risk from financial derivatives. She visited the IMF, 6-9 December 2011 to present her results. She has characterized the phenomenon of too interconnected to fail (TITF) as one in which the failure of a highly connected large complex financial intermediary can bring down the top tier of 22 clustered similarly connected FIs. She has designed a super-spreader tax based on the eigenvector centrality of the LCFIs so that they internalize the cost of their systemic risk to the rest of the system. The highly tiered structure of the derivatives market enables her to construct a lite superspreader tax escrow fund of only $40 bn which can prevent the failure of the highly unstable $650 trillion global derivatives market.
The software for systemic risk and network analysis was developed by Sheri Markose with Simone Giansante and Ali Rais Shaghaghi.
ˇSheri Markose to advise the Financial Stability Division of the Reserve Bank of India
Essex Professor appointed to advise Indian bank
ˇSheri has been invited to be a panellist at the Global Economic Symposium 2011, on the session on "Coping with Systemic Risk ". She has been encouraged to give radically new ideas that have the promise of being paradigm shifts, and also give feedback on the challenge and suggestions on potential solutions. GES 2011 is being held on Oct 5-6, 2011 at Kiel, Germany.
The GES Panel Coping With Systemic Risk moderated by Wolfgang Munchau (panellists, Eric Maskin, (Noble Laureate, Institute for Advanced Studies, Princeton), Carlos Langoni ( Former Governor of the Brazilian Central Bank), Erkki Likanen (Governor Bank of Finland) and Aolin Liu (Executive Director of Research of China International Capital Corporation and Sheri Markose).
http://www.youtube.com/watch?v=-Aw0l552ocw&feature=related Sheri Markose Interview at GES
ˇSheri Markose and Amadeo Alentorn have finally got their paper in press : “The Generalized Extreme Value (GEV)Distribution, Implied Tail Index and Option Pricing”,
forthcoming Spring 2011 in the Journal
of Derivatives
Stephen Figlewski (JOD Editor) and a referee said that the paper was
very 'illuminating' about the behaviour of fat tailed (GEV Frechet
) distributions for asset returns under extreme market conditions.
Markose & Alentorn obtain a close form solution for the GEV option
price. They say:
"We find that the traded option price implied GEV
model for the Risk Neutral Density (RND)yields results that strongly
challenge traditionally held views on tail behaviour of asset returns
based on Gaussian distributions which predicate simultaneous existence
of thin tails in both directions during all market conditions. The GEV
distribution for asset prices which is governed by the tail shape
parameter is found to switch tail shape with underlying market
conditions. Further, a non-zero value for the tail shape parameter
results in significant skewness in the probability mass of the GEV
density function during extreme market conditions which implies large
one directional movements and truncation in the probability mass in the
other direction. During extreme market drawdowns, a positive value for
the tail shape parameter of the GEV RND function for losses implies
extreme price drops with the large probability mass on the right and a
finite tail in the other direction implying an upper bound on possible
gains. To date, proposed option pricing models intended to deal with
both the fat tail and the skew in asset returns have failed to highlight
the above characteristic features of fat tailed distributions."
All Matlab codes for the GEV option pricing model, GEV RND implied statistics such as volatility, Extreme Economic VaR etc. will soon be available at http://www.acefinmod.com/index.html . .
| 683 | February 10 | Sheri Markose, Simone Giansante, Mateusz Gatkowski and Ali Rais Shaghaghi | Too Interconnected To Fail: Financial Contagion and Systemic Risk in Network Model of CDS and Other Credit Enhancement Obligations of US Banks (pdf version) [Abstract] |
http://www.ecb.europa.eu/pub/pdf/other/modellingsystemicrisk012010en.pdf?d216f976f3587224bcc087cc8149ed49
Further discussion in press see, below p. 7,
http://www.financialnetworkanalysis.com/wp-content/uploads/2010/01/SecOps-011810.pdf
Derivatives Markets and Computational Finance
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Papers from the EDDIE Project
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The Black (1976) Effect And
Cross Market Arbitrage In FTSE-100 Index Futures And
Options
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Evolutionary Decision Trees
For Stock Index Options And Futures Arbitrage(Published July 2002,
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In, Genetic Algorithms and Genetic Programming in Computational Finance, Edited by Shu-Heng Chen, Kluwer Academic Publishers, (ISBN 0-7923-7601-3).
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The
Generalized Extreme Value (GEV)Distribution, Implied Tail Index and
Option Pricing , |
Sheri Markose and Amadeo Alentorn, Economics Department, University of Essex, Discussion Paper 594, April 2005.(pdf version) [Abstract] Published Journal of Derivatives
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Amadeo Alentorn and Sheri Markose,
Removing maturity effects of implied risk neutral densities and related
statistics
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Sheri
Markose and Amadeo Alentorn
Generalized Extreme Value Distribution and Extreme Economic Value at
Risk (EE-VaR) |
WP013-07: Centre for Computational Finance and Economic Agents Now published as Markose, S.M., and A. Alentorn, 2008, "Generalized Extreme Value Distribution and Extreme Economic Value at Risk (E-EVaR)" Chapter in Computational Methods in Financial Engineering edited by EJ Kontoghiorghes, B. Rustem and P. Winker in honour of Manfred Gilli, Springer Verlag.
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Book Review of Computable
Economics by K. Vellupillai, Arne Ryde Lectures,
Economic Journal, June 2001. |
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The Liar
Strategy And Surprises: So What Is The Lucas Critique? A New Perspective From Computation
Theory Paper first given at Econ. Dept Seminar, Carnegie Mellon, USA, July 19-22, 1998 |
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The New
Evolutionary Computational Paradigm Of Complex Adaptive
Systems: Challenges And Prospects For Economics And
Finance. (Published July 2002, In, Genetic Algorithms and Genetic Programming in Computational Finance, Edited by Shu-Heng Chen, Kluwer Academic Publishers, (ISBN 0-7923-7601-3) (pp.443-484 ). (Note the above is the revised form of Economics Department Discussion Paper 532). |
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Novelty
And Surprises In Complex Adaptive System (CAS) Dynamics: A
Computational Theory of Actor Innovation INVITED TALK: Applications of Physics in Financial Analysis 4 (APFA4) Warsaw, November 13-15 2003 Version Published
(Autumn 2004) in Physica A
http://authors.elsevier.com/sd/article/S0378437104009045 |
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Special Feature on
Computability and Evolutionary Complexity: Markets as Complex Adaptive
Systems, Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems Published June 2005, Vol. 115 , F159-F192. See also http://www.essex.ac.uk/economics/discussion-papers/papers-04.shtm |
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THE
RED QUEEN PRINCIPLE AND THE EMERGENCE OF EFFICIENT FINANCIAL MARKETS: AN
AGENT BASED APPROACH Sheri Markose, Edward Tsang and Serafin Martinez .2005 In: Thomas Lux, Stefan Reitz and Eleni Samanodou (Eds.) Nonlinear Dynamics and Heterogeneous Interacting Agents, Lecture Notes in Economics and Mathematical Systems 550, Springer, Berlin, Heidelberg. |
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Gödelian
Foundations of Non-Computability and Heterogeneity In Economic
Forecasting and Strategic Innovation Paper presented on 4 July 2006 at the Godel Centenary Colloquium at Computing in Europe (CiE) Conference in Swansea, Wales UK http://www.cs.swansea.ac.uk/cie06/giveabs.php?220 |
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Agent Based Simulation Models, Computational Policy and Market Design
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The Herding and Networks Simulator was developed at CCFEA by Sheri Markose and Amadeo Alentorn. The Simulator can be accessed and run from http://privatewww.essex.ac.uk/~aalent/herding/herding.htm
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Dynamic Learning, Herding and Guru Effects in Networks (PDF 1.2 MB)
, Sept 2004, Sheri Markose, Amadeo Alentorn and Andreas Krause The paper is also an Economics Department Working Paper, No. 582, Sept 2004. |
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The IPSS is part of an ongoing project with researchers at the Bank of England,Steven Millard and Jing Yang. It is being developed at CCFEA by Sheri Markose and Amadeo Alentorn. The IPSS Simulator can be accessed and run from Designing large value payment systems: An agent-based approach (Paper) Presentation at the CCBS (Bank of England) at the Expert Forum: Payment System Architecture and Oversight: 31-Jan-2005 to 02-Feb-2005 CLICK HERE to run IPSS ver 2.10 (30th Jan 2005) |
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Micro-Structure of Cashlessness and Implications for Monetary Policy
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Trends in
Payments Systems |
(Published in International Correspondent Banking Review , Yearbook, 2000/2001, Euromoney Publication ISBN No. 185564 815 6.)
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The
Microstructure Of Recent Trends In Cashlessness: UK and
USA Compared
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Innovations In
Cash-Card Payments Networks:Implications For Monetary
Policy In Low Interest Rate Regimes
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Updates
On Changing Trends in Payments Systems G10 and EU Countries |
(Forthcoming 2002 in Entry on Electronic Payment Systems by J.K Winn, in Encyclopedia of Information Systems, Academic Press.)
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Can
Cash Hold its own? International Comparisons, Theory and Evidence |
Sheri M. Markose and Yiing Jia Loke February 2002.
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Network Effects on Cash-Card
Substitution in Transactions and Low Interest Rate Regimes |
Sheri M. Markose and Yiing Jia Loke, April 2003 (Published in The Economic Journal, Vol.113,no.487, pp.412-456.)
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IMPLICATIONS FOR MONETARY
POLICY OF RETAIL PAYMENTS INNOVATIONS : SLOW DOWN IN GROWTH OF innovations in retail transactions can account for a deflationary impact on the Consumer Price Index.
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IMPLICATIONS FOR MONETARY
POLICY
FROM HIGH INTEREST RATE ELASTICITY OF PAYMENT TECHNOLOGY |
CONSTRAINED TRANSACTIONS DEMAND FOR MONEY,Yiing Jia Loke*and Sheri M. Markose (2002,preliminary draft) |
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Visitors since 7 October 2002: