This is edition number 42 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 Department of Financial Studies of the University of Verona organises the second international conference on recent developments in managing market and credit risk.
Speakers
The complete program of the conference is now available at the website:
http://www.univr.it/giardinogiusti/workshops/conf_2001/conf_2001.htm
Deadline for registration: 27 May 2001.
The Conference is in English. Simultaneous translation will be provided.
Conference Secretariat
Dr. Ombretta Terazzan e Dr. Stefania Ciraolo
Tel.: +39 045 8054 913 / 926
Fax: +39 045 8054 935
Email: giardino.giusti@univr.it
Am Institut fuer Finanz- und Versicherungsmathematik der Technischen Universitaet Wien ist ehemoeglichst die
zu besetzen. Aufnahmebedingungen: Abgeschlossenes Mathematik- Studium. Sonstige Kenntnisse: Versicherungsmathematik und stochastische Finanzmathematik.
Die Universitaet strebt eine Erhoehung des Frauenanteils insbesondere beim wissenschaftlichen bzw. kuenstlerischen Personal an und fordert deshalb qualifizierte Frauen ausdruecklich zur Bewerbung auf. Frauen werden bei gleicher Qualifikation vorrangig aufgenommen.
Bewerbungsfrist: 3 Wochen (17. Mai bis 6. Juni 2001). Bewerbungen sind an die Personalabteilung I der TU Wien, Karlsplatz 13, 1040 Wien, zu richten.
Siehe auch http://www.fam.tuwien.ac.at/~sandra/jobs/
2 Post-Doc-ships:
The successful applicants will have a PhD in Mathematics specialising in Mathematical Finance or Actuarial Mathematics, or in a field related to these topics, e.g., stochastic processes or, more generally, probability theory, functional analysis, control theory, numerical aspects of PDE's etc. Some background in finance also will be highly appreciated. He/she will have a high potential and a strong will to do research and will name 3 peers who are willing to write a letter evaluating the applicant's academic qualifications. The yearly salary will be ATS 451360.00 (before tax and social security contribution).
The Research Group:
The Research group on Financial and Actuarial Mathematics is directed by W. Schachermayer (http://www.fam.tuwien.ac.at/~wschach/) and attached to his chair of financial and actuarial mathematics at the Vienna University of Techology. W. Schachermayer has received the Wittgenstein-Prize in 1998 (which the Austrian Science Foundation has created following the pattern of the McArthur prize in the US and the Leibniz prize in Germany), which constitutes a grant of ATS 15 Mill. (appr. US$ 1 Mill.) to be spent on research activities in the subsequent five years. This grant will finance (among other activities) the 2 positions announced. The research group presently consists of 11 academic researchers. The research is focused on stochastic processes and their applications in finance.
Duration of Contracts:
The anticipated starting date is 1. October 2001, but an alternative date may be possible. The contract will be for two years.
Candidates should mail their applications, including a Curriculum Vitae, to Professor Walter Schachermayer, Vienna University of Technology, Dept. of Financial and Actuarial Mathematics, Wiedner Hauptstraße 8-10/105, A-1040 Wien, Austria or e-mail it to fam@fam.tuwien.ac.at.
The application deadline is 31. July 2001.
More information on the research group financial and actuarial mathematics and the specifics of the above positions can be obtained from Professor Walter Schachermayer, Tel. +43-1-58801-10511, email: fam@fam.tuwien.ac.at
See also http://www.fam.tuwien.ac.at/~sandra/jobs/
Financial mathematics is the application of mathematical methods to the solution of problems in finance. It draws on tools from applied mathematics, computer science, statistics, and economic theory. Investment banks, hedge funds, insurance companies, corporate treasuries, and regulatory agencies apply the methods of financial mathematics to such problems as derivative securities valuation, portfolio structuring, risk management, and scenario simulation. Quantitative analysis has brought efficiency and rigor to financial markets and to the investment process, and is becoming increasingly important in regulatory concerns. As the pace of financial innovation increases, the need for highly qualified people with specific training in financial mathematics intensifies.
Since 1985, the Courant Institute has been active in financial mathematics through research, education, and consulting. In 1995 Professor Marco Avellaneda launched a seminar in financial mathematics, inviting key academic and industry participants to share their theoretical ideas and practical experience. Concurrently, the Institute developed and ran several courses in financial mathematics, drawing students from top undergraduate programs and from the New York financial community.
The overwhelming response to the seminar and courses indicated the need for a formal master's program. In the spring of 1997, the proposed master's program at the Institute received final approval and accreditation from New York State. In the same year, the Division of Financial Mathematics was founded within the Courant Institute under the leadership of Professor Avellaneda. The division's activities include the mathematics in finance master's program, the research seminar, and advanced Ph.D. research in financial mathematics.
Close cooperation between the Courant Institute and the finance community is an essential part of the program and gives it a unique character. These ties ensure that the program is up to date and relevant, that the students experience Wall Street finance from the inside, and that potential employers can get a close look at the students in action. We have established this link on many levels.
More information on the
Formed in response to the continual change in the interests of the international investor, ZanerFX seeks to provide the sophisticated trader with the tools necessary to maximize that trader’s ability to compete in the largest financial market in the world.
The President of ZanerFX, Matthew D. Zaner, is also a founder of the very successful commodity firm, NetFutures. Matt, along with Jim Pugh, the Director of Foreign Exchange at the company, looked at the number of new companies offering foreign exchange services to the investing public and quickly realized most had two things in common: 1) The lack of financial assets at most of the new firms was very apparent and 2) because of that, customer account security was almost non-existent. What every customer of these firms has to realize is that the “other side” of his trade is the company holding their money. In addition, promises of accounts available from as low as $1000, coupled with enormous leverage, seem to be designed to lure the small investor into sending his money to a firm he doesn't know to trade a market he doesn't understand. ZanerFX does not believe that is in the best interest of the professional investor.
contact:
150 South Wacker Drive, Suite 2350Chicago, IL 60606 USA
http://www.zanerfx.com
For further information, please feel free to contact Lee Snyder, Head of Sales, directly at:
phone: 1.800.750.5978 or 312.277.0113
email: lsnyder@zanerfx.com
We are pleased to announce Bernd Engelmann's contribution which is available at
http://www.mathfinance.de/BerndEngelmann/
or in the publications section as one of the articles accompanied by an execuble application that allows pricing and calculation of Greeks for Basket, Multi-Strike and Spread options.
The Laboratory of Actuarial Mathematics at the University of Copenhagen seeks applicants for a position (marked 221-83) of associate professor in the area of Actuarial Mathematics for appointment from 1st of January 2002 or as soon as possible thereafter.
The Laboratory of Actuarial Mathematics is a Department of the Institute for Mathematical Sciences. There are five academic positions: two full professorships and three associate or assistant professorships. The Laboratory conducts a full programme in actuarial science with degrees at the bachelor, masters and PhD level. Annually some 25 students are admitted to the bachelor program, some 15 graduate with the degree cand.act (including a masters thesis) and there are currently three PhD students.
The Laboratory has a long tradition for research and higher education in actuarial mathematics, still with the broad orientation required to offer actuarial instruction complying with internationally approved core syllabi. Being a small unit, and the only one of its kind in Denmark, the Laboratory is dependent on close contacts to similar units in other countries, materialising in frequent exchange of specialists and of students. The plan for development of the Laboratory aims at integrating into the mathematics of insurance topics like dynamical risk theory, relevant parts of financial economics, extreme value theory, and their foundation in statistics, control theory, and stochastic analysis. This reflects the strong progress currently made in the borderlands between these fields, and their steadily growing importance in insurance and banking.
The successful candidate should have a strong research record. She/He is expected to contribute to the Laboratory's teaching and research activities in Actuarial Mathematics and to its administrative duties.
Further information can be obtained from
Head of the Laboratory of Actuarial Mathematics
Prof. Hanspeter Schmidli
University of Copenhagen
Universitetsparken 5
DK-2100 Copenhagen
tel. +45 35 32 07 88
e-mail address schmidli@act.ku.dk
Terms of appointment and payment according to agreement between the Ministry of Finance and the Danish Confederation of Professional Associations.
Deadline for applications 17th of August, 2001 at 12.00 a.m.
This call for applications is an extract on which the application cannot be
based. If you consider applying for the position, read the full text of the
advertisement on the Internet address
http://www.act.ku.dk/~schmidli/vacancy.html
or
http://www.ku.dk/led/generel/ - press `ledige stillinger'
or ask for it at the Personnel Office (Phone +45 35322645).
Resume
A la pointe de la recherche en mathématiques financières, les intervenants vous proposent une présentation très complète et actuelle des techniques de simulation utiles pour l'évaluation et la couverture des options.
Après le rappel des méthodes classiques de Monte-Carlo, ils traitent des techniques d'accélération de convergence : réduction de variance et suites à discrépances faibles. Puis ils abordent les problèmes liés à la discrétisation des diffusions, en les illustrant d'exemples financiers : calculs d'options exotiques, modèles à volatilité aléatoire, ...
Intervenants
Les objectifs de ce séminaire sont de:
Professionnels de la finance souhaitant maîtriser les techniques récentes de simulation.
Il est préférable de connaître le modèle de Black et Scholes, pour suivre cette journée.
Programme
Base de la méthode de Monte-CarloModalites pratiques
Tarif : 2 jours – 1 220 Euros / 8 000 Francs HT
Ce prix comprend les déjeuners, pauses-café et documentation.
Lieu du séminaire : Collège de Polytechnique, Paris 2ème
Dates : 19 et 20 JUIN 2001-
Inscriptions :
Merci de rerouter ce mail pour diffuser cette information aux personnes susceptibles d'être intéressées.
Daniel Fournier
Collège de Polytechnique
01 42 60 37 12
d-fournier@collegepolytechnique.com
Für weitere Information wenden Sie sich bitte direkt an Jürgen Merkel, MB Consulting GmbH, Tel. + 49-6031-718686.
(in cooperation with the Seminar for Statistics at ETHZ)
Workshop secretary: Eveline Fritsch (fritsch@math.ethz.ch)
Participation is free, and there is no official registration. Everyone is welcome, practitioners are especially encouraged to attend.
15.10 - 15.40 (lecture hall HG D1.1)
Aydin Akgün (RiskLab, ETH Zürich and Swiss Banking Institute)
"Capital budgeting under regulatory constraints"
Using a stylised model similar to that of Kenneth A. Froot and Jeremy
C. Stein (Journal of Financial Economics, 47, January 1998, 55-82),
the talk focuses on the capital budgeting, capital structure, and
risk management decisions of financial firms under regulatory
constraints. The questions and issues that are addressed in this
framework are the following:
- The introduction of the regulatory constraints as an additional
rationale for risk management, as well as the analysis of how the
investment, hedging, and capital budgeting decisions of financial
firms are influenced by such an introduction.
- A comparison of the influence of different forms of regulatory
constraints such as the internal models, and pre-commitment approach.
In the pre-commitment approach the effectiveness of various penalty
schemes could also be analysed.
- A comparison of the influence of firm-wide regulatory constraints,
and separate constraints applied to trading and banking books
individually.
- The explicit introduction of a shareholder-utility maximization
concept to formally study capital budgeting as opposed to
custom-designed methods such as RAROC or EVA.
(Joint work with Prof. Dr. Rajna Gibson.)
15.40 - 16.10 (lecture hall HG D1.1)
Filip Lindskog (RiskLab, ETH Zürich)
"Multivariate extremes and dependence in elliptical distributions"
The purpose of this talk is to clarify dependence properties of elliptical distributions. I will focus on clarifying multivariate extremes by studying spectral measures with respect to different norms and tail dependence coefficients for regularly varying elliptical distributions.
16.10 - 17.00 (lecture hall HG D1.1)
Prof. Dr. Fabio Trojani (University of Southern Switzerland, Lugano)
"Exploring the trade-off between robustness and diagnostics when
selecting single factor models for the short term rate"
We explore the trade-off between robustness and diagnostics in applications to the model choice of single-factor interest rate models. The analysis is carried out using a robust version of the Generalized Method of Moments (the R-GMM) that has been recently developed in Ronchetti and Trojani (2001). The GMM is a broadly used econometric procedure in finance that permits estimation and testing of highly non-linear models with quite rich time series dependence structures. However, as for many inference procedures based on M-type estimators, GMM suffers from a lack of robustness when the orthogonality functions defining the corresponding estimating equations are unbounded (a feature that is inherited by virtually all GMM applications in finance). Therefore, RGMM is a useful tool in these applications which can help to obtain more robust point estimates and model choices and to identify outliers or more general deviating structures to eventually (if this is necessary) respecify a model. As an illustration of this methodology we re-examine the empirical evidence concerning a well-known class of linear and non-linear drift single factor models for the short rate process (cf. Chan et al. (1992) (CKLS) and Ahn and Gao (1999), AG). Standard GMM model selection procedures are highly unstable in these applications. Specifically, when testing the models with RGMM we find that they are all clearly misspecified and we identify a clustering of influential observations in the 1979-1982 subperiod. Further, even a model with a temporary parameter shift is unable to take into account the particular 1979-1982 subperiod which exhibits a cluster of influential points similar to that obtained for the constant parameter models. On the other hand, a Cox-Ingersoll-Ross model could offer a satisfactory data description for the period after 1982 since there only a few isolated outliers are found. Comparable results are obtained for the Euro-mark case.
(This is a joint talk with the Zurich Seminar on Applied Statistics)
17.00 - 17.30
Discussion, coffee break, change to lecture hall HG E1.2
17.30 - 18.00 (lecture hall HG E1.2)
Roger Kaufmann (RiskLab, ETH Zürich)
"Long-term financial risks: the one-dimensional case"
In this talk we discuss several methods for modelling long-term financial risks. We compare the efficiency of some selected models for predicting asset returns on a one-year horizon. In particular we present backtesting results showing the accuracy of estimated one-year expected shortfall for stock indices, 10-year-bonds and exchange rates.
18.00 - 18.30 (lecture hall HG E1.2)
Enrico De Giorgi (RiskLab, ETH Zürich)
Vlatka Komaric (Credit Suisse)
"An intensity based approach for mortgage portfolios"
In 1999 Swiss banks held about 498 billion CHF debts in the form of mortgages. Nevertheless, currently used models for credit risk are not designed to capture the specific dependence characteristics of a large mortgage portfolio. Given the huge size of the mortgage market, it is surprising that the issue is largely ignored by academic research. Our attention lies on a proper way for modeling default risk for individual residential mortgages, which is affected by macro-economical factors such as unemployment. We consider time to default and we use a non-parametric proportional hazard model for the intensity process, which is assumed to depend on a set of macro-economical factors.
Please see http://www.math.ethz.ch/finance/talks.html for more talks and links.