This is edition number 47 of The MathFinance Newsletter. Previous editions and this edition in html format can be found on http://www.mathfinancenews.com. In this issue:
The MathFinance Newsletter: Established November 1999
Editor: Dr. Uwe Wystup
Technical Editor: Tom Heide
In detail:
The Quantitative Methods in Finance 2001 Conference will bring together leading experts in Quantitative Finance from industry and academia for a four day conference from 12 - 15 December 2001. There will also be additional practitioner workshops on 10 and 11 December.
The focus of QMF2001 will be: Credit Risk, Value at Risk and Integrated Risk Measurement and Management
QMF2001 will be held at the Manly Pacific Parkroyal Hotel, Manly Beach, Sydney
QMF2001 is organised by: Prof. Carl Chiarella, School of Finance and Economics, and Prof. Eckhard Platen, Department of Mathematical Sciences, and School of Finance and Economics, University of Technology, Sydney
For more information please visit
http://www.business.uts.edu.au/finance/resources/qmf2001/
Nationalekonomiska institutionen
Department of Economics
School of Economics and Management, Lund University
This Ph.D. thesis can be downloaded from
http://www.nek.lu.se/nekhpb/research/thesis.ps
There's more about the author's research on his homepage
http://www.nek.lu.se/nekhpb/research.htm
Some of the recent work include
For more information and download please visit
http://www.bath.ac.uk/~masdgh/
J.P. Morgan's Derivatives Research group is responsible for developing pricing and risk management algorithms and analytics to support the firm's various trading and structuring businesses. From time to time Morgan makes available to the public articles, reports, and papers that demonstrate the thinking of members of its Derivatives Research team.
Some publications can be found on
http://www.jpmorgan.com/businesses/deres/index.html
EIR has been created along with researchers, financial institutions and fund management associations and provides free access to research in the field of investment and asset management. EIR will hold its Annual Conference on the 20-21 Sept. 2001 (see link or write to claire.degourcuff@theeir.com).
To access working papers, you have to be a member of the EIR community (registration and access are free).
The main topics of the conference are
More than 50 working papers have been selected by EIR's scientific committee composed of:
Jean-Francois Boulier (SINOPIA), Eric Briys, Mark Britten Jones (BGI), Paolo Cucurachi (Bocconi University), Bernard Dumas (INSEAD), Nicole El Karoui (Polytechnique-University of Paris VI), Olivier Garnier (SGAM), Helyette Geman (Dauphine-ESSEC), Bertrand Maillet (University of Paris I / ESCP-EAP), Raimond Maurer (Goethe University, Frankfurt am Main), Pierre Mella-Barral (LBS), William Perraudin (Birkbeck College - University of London), Olivier Renault (LSE), David Reynard (Deutsche Asset Management), Manuel J. Rocha Armada (University of Minho, Portugal), Michael Rockinger (HEC), Christian Schlag (Goethe University, Frankfurt am Main), Enrique Sentana (CEMFI), Philippe Spieser (ESCP-EAP).
Our guest speakers for the conference are:
For more information:
- On the Conference: http://perso.wanadoo.fr/eir.conference/
- EIR: http://www.theeir.com
The latest issue of Quantitative Finance is now out in hardcopy and available at http://quant.iop.org. It contains the following:
The share simulator creates realizations of stochastic processes which are believed to approximate the share price development. The classical model was examined by Black and Scholes in order to evaluate derivatives. There exists a diversity of tailored models of the Black Scholes model. The Heston- and the Jump-Diffusion model are two of them.
In this model the stochastic process driving the underlying is a geometric Brownian motion.
This model is based on the Black Scholes Model but with the assumption that the volatility is a stochastic process itself. The square of volatility is assumed to be a so called mean reversion process, i.e. a process which is fluctuating about a mean value. More details about this process and ways to price derivatives with that model can be found in the formula catalogue of http://www.mathfinance.de.
This model is based on the Black Scholes Model with an additional jump component. The time gap between two jumps are exponentially distributed and the hight of each jump is proportional to the current share price and to a lognormally distributed random variable.
For more information see the share simlator on
http://www.mathfinance.de/TinoKluge/
or on Tino Kluge's homepage
http://www-user.tu-chemnitz.de/~tkluge/
http://www.tu-chemnitz.de/docs/php.en/