VFN-L November 1996

vfn-l@fam.tuwien.ac.at

3 participants
3 discussions

Wirtschaftstheoretisches Forschungsseminar
by Erika Ristl 26 Nov '96

26 Nov '96

EINLADUNG zum Wirtschaftstheoretischen Forschungsseminar der Wiener Universit=E4ten gemeinsam mit dem Institut f=FCr H=F6here Studien und der National=F6konomischen Gesellschaft 5. Dezember 1996 16.00 Uhr: Winand Emons (Universit=E4t Bern) "Expertise, Contingent Fees, and Excessive Litigation" 17.30 Uhr: Thomas GEHRIG (Universit=E4t Basel) "Excessive Risks and Banking Regulation" Ort: Institut f=FCr H=F6here Studien, Stumpergasse 56, 1060 Wien, H=F6rsaal II Papers zu den Vortr=E4gen liegen (soweit vorhanden) im Sekretariat des Instituts f=FCr Wirtschaftswissenschaften, Hohenstaufengasse 9, 1010 Wien, 5. Stock, am IHS (Abteilung =D6konomie) und im BWZ, Lehrstuhl Cleme= nz, Sekretariat Fr. Kellner, auf. Die n=E4chsten Vortr=E4ge finden voraussichtlich am 16. J=E4nner und am 23= . J=E4nner 1997 statt. Egbert Dierker ========================================================================= >From compfin(a)cse.ogi.edu Sun Mar 19 17:27:57 2000 Date: Tue, 26 Nov 1996 12:14:52 -0800 (PST) >From: Computational Finance <compfin(a)cse.ogi.edu> To: devfinance(a)lists.acs.ohio-state.edu, corryfee(a)mundo.eco.utexas.edu, scelist(a)mundo.eco.utexas.edu, csemlist(a)mundo.eco.utexas.edu, snde_l(a)email.rutgers.edu, comp_finance(a)teleport.com, economics <majordomo@mundo>, finance(a)vm.temple.edu, listserve(a)templevm.bitnet Subject: Computational Finance at the Oregon Graduate Institute Status: RO X-Status: X-Keywords: X-UID: 218 ======================================================================= COMPUTATIONAL FINANCE at the Oregon Graduate Institute of Science & Technology (OGI) Masters of Science Concentrations in Computer Science & Engineering (CSE) Electrical Engineering (EE) Now Reviewing MS Applications for Fall 1997! Early Decision Deadline: January 15 (Decisions by February 15) Final Deadline: March 15 (Decisions by April 15) New! Certificate Program Designed for Part-Time Students. For more information, call the OGI Office of Admissions (503)690-1027, or visit http://www.cse.ogi.edu/CompFin/ ======================================================================= Computational Finance Overview: Advances in computing technology now enable the widespread use of sophisticated, computationally-intensive analysis techniques applied to finance and financial markets. The real-time analysis of tick-by-tick financial market data, and the real-time management of portfolios of thousands of securities is now sweeping the financial industry. This has opened up new job opportunities for scientists, engineers, and computer science professionals in the field of Computational Finance. The strong demand within the financial industry for technically- sophisticated graduates is addressed at OGI by the Masters of Science and Certificate Programs in Computational Finance. Unlike a standard two year MBA, the programs are directed at training scientists, engineers, and technically-oriented financial professionals in the area of quantitative finance. The Masters programs lead to a Master of Science in Computer Science and Engineering (CSE track) or in Electrical Engineering (EE track). The MS programs can be completed within 12 months on a full time basis. In addition, OGI has introduced a Certificate program designed to allow professionals in engineering and finance a way of acquiring skills or upgrading their skills in quantitative finance on a part-time basis. The Computational Finance MS concentrations feature a unique combination of courses that provide a solid foundation in finance at a non-trivial, quantitative level, plus training in the essential core knowledge and skill sets of computer science or the information technology areas of electrical engineering. These skills are important for advanced analysis of markets and for the development of state-of-the-art investment analysis, portfolio management, trading, derivatives pricing, and risk management systems. The MS in CSE is ideal preparation for students interested in securing positions in information systems in the financial industry, while the MS in EE provides rigorous training for students interested in pursuing careers as quantitative analysts at leading-edge financial firms. The curriculum is strongly project-oriented, using state-of-the-art computing facilities and live/historical data from the world's major financial markets provided by Dow Jones Telerate. Students are trained in using high level numerical and analytical packages for analyzing financial data. OGI has established itself as a leading institution in research and education in Computational Finance. Moreover, OGI has very strong research programs in a number of areas that are highly relevant for work in quantitative analysis and information systems in the financial industry. ----------------------------------------------------------------------- Admissions ----------------------------------------------------------------------- Applications for entrance into the Computational Finance MS programs for Fall Quarter 1997 are currently being considered. The deadlines for receipt of applications are: January 15 (Early Decision Deadline, decisions by February 15) March 15 (Final Deadline, decisions by April 15) A candidate must hold a bachelor's degree in computer science, engineering, mathematics, statistics, one of the biological or physical sciences, finance, econometrics, or one of the quantitative social sciences. Candidates who hold advanced degrees in these fields or who have experience in the financial industry are also encouraged to apply. Applications for the Certificate Program are considered on an ongoing basis for entrance in any quarter. ---------------------------------------------------------------------- Contact Information ---------------------------------------------------------------------- For general information and admissions materials: Office of Admissions Oregon Graduate Institute P.O.Box 91000 Portland, OR 97291-1000 E-mail: admissions(a)admin.ogi.edu Phone: (503)690-1027 WWW: http://www.cse.ogi.edu/CompFin/ For special inquiries: E-mail: compfin(a)cse.ogi.edu ====================================================================== ------------------------------------------------------------------ Dr. Andrea Gaunersdorfer Department of Business Administration University of Vienna Tel.: +43-1-29 1 28-466 Bruenner Strasse 72 FAX: +43-1-29 1 28-464 A - 1210 Wien e-mail: gauner(a)finance2.bwl.univie.ac.at

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by Elke PENDL 24 Nov '96

24 Nov '96

VSX WORKSHOP Einladung zum Vortrag von Professor Bryan R. Routledge, Carnegie Mellon University mit dem Thema ueber "Adaptive Learning and Financial Markets" am Donnerstag, 19. Dezember 1996, 15.30 - 17.00 Uhr im Seminarraum 2 des Betriebswirtschaftlichen Zentrums der Universitaet Wien, Bruenner Strasse 72, 1210 Wien. =========================================================================

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FW: CEF '97 at Stanford
by Andrea Gaunersdorfer 16 Nov '96

16 Nov '96

**************************************************************** * To post a message, send it to OWNER-SNDE_L(a)EMAIL.RUTGERS.EDU * * To leave the list, send the message UNSUBSCRIBE SNDE_L * * to MAJORDOMO(a)EMAIL.RUTGERS.EDU * * To resolve any problems, contact MCCLELLAND_R(a)BLS.GOV * **************************************************************** ---------- Dear Colleague: Below is a call for papers for a Computational Economics conference I am hosting next summer here at Hoover. Please circulate it among your colleagues. Also, note the items of special interest below for your graduate students. Thanks, Ken Judd P.S. Please excuse multiple messages; I am using many lists. ***************************************************************** ********************************************************* ****** CALL FOR PAPERS ****** Society for Computational Economics announces the Third International Conference on "COMPUTING IN ECONOMICS AND FINANCE" Stanford, CA, June 30 - July 2, 1997 The Third International Conference on Computing in Economics and Finance, organized under the auspices of the Society for Computational Economics, will be held at the HooverInstitution at Stanford University from June 30 through July 2, 1997. We invite participation from all branches of economics and finance, and related areas in computer science, operations research, statistics, and mathematics, in both the academic and business worlds. Presentations will cover both quantitative and empirical methods for economics and finance including, but not limited to, optimization, linear and nonlinear equations, computationally intensive statistical methods, option pricing, CGE modelling, neural networks, agent-based economics, rational expectations modelling, computation of Nash equilibrium, variational inequalities, genetic algorithms, simulation methods, automatic differentiation, Bayesian methods, databases, network economics, option pricing, and artificial intelligence. Those unacquainted with the SCE and this conference series should consult the web page http://www.unige.ch/ce/ce96/ which describes the program from the Second International Conference on Computing in Economics and Finance held in Geneva, Switzerland, in June, 1996, or the page http://www.unige.ch/ce/austin/ which describes the program from the previous meeting held in Austin, Texas, in 1995. Individuals who wish to present papers should submit abstracts or finished papers to: Kenneth L. Judd Hoover Institution Stanford, CA. 94305 judd(a)hoover.stanford.edu. 415-723-1687 (fax) Electronic submissions in ASCII, TeX, and LaTeX formats are encouraged, but ordinary paper (by mail or fax) is fine. Deadline for submissions: February 15, 1997. ===================================================== CONFERENCE WEB PAGE: Visit us at http://bucky.stanford.edu/cef97/ for up-to-date information on the program, accomodations, and local attractions. ====================================================== Following are some special program notes: CURRENTLY PLANNED PLENARY TALKS: "Solution Methods for Equations" Curtis Eaves, Stanford EES/OR Department Panel Discussion on "The Teaching of Computational Economics" Ken Judd (Hoover Institution) David Kendrick (University of Texas) Mario Miranda (Ohio State University) "Computational Economics in Practice in the Telecommunications Industry" Louis F. Pau, (Ericsson Utvecklings AB and Technical University of Denmark) GRADUATE STUDENT POSTER SESSION: In an effort to encourage graduate student participation, there will be a poster session for graduate students to present their work-in-progress. There will also be some financial aid for graduate student participants; contact Ken Judd for details. GRADUATE STUDENT PRIZE: The Society for Computational Economics is offering three $1,000 prizes for outstanding papers by graduate students. A description of that prize is available at http://bucky.stanford.edu/cef97/ PROGRAM COMMITTEE: Ken Judd, Hoover Institution, General Chairman Hans Amman, University of Amsterdam Kit Baum, Boston College Dave Belsley, Boston College Chris Birchenhall, University of Manchester Dee Dechert, University of Wisconsin John Duffy, University of Pittsburgh Larry Eisenberg, The Risk Engineering Company Manfred Gilli, University of Geneva Bill Goffe, University of Southern Mississipi Seth Greenblatt, University of Reading Steve Hall, Imperial College David Kendrick, University of Texas Mario Miranda, Ohio Statue University Anna Nagurney, University of Massachusetts Louis Pau, Ericsson Utvecklings AB and Technical University of Denmark Ken Pearson, Monash University John Rust, Yale University Berc Rustem, Imperial College Tom Sargent, Hoover Insitution Leigh Tesfatsion, Iowa State Charles Tapiero, ESSEC Peter Tinsley, U.S. Federal Reserve Bank, Washington, D.C. Andy Whinston, University of Texas =========================================================================

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VFN-L November 1996