The MathFinance Newsletter, Edition 81, July 03 2003.
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
- supported by Landesbank Hessen-Thüringen -
Editor: Dr. Uwe Wystup, Frankfurt MathFinance Institute
Assistant Editor: Susanne Griebsch, Goethe-University, Frankfurt
Technical Editor: Tom Heide, University of Applied Science, Frankfurt
Database Solutions: Thorsten Schmidt, Giessen
University
In detail:
In addition to your application including CV and research plan, please arrange for three letters of recommendation to be sent to one of these addresses, and send an electronic version (PDF) of your application to delbaen@math.ethz.ch and martin.schweizer@math.ethz.ch.
Robert Tompkins is a Professor of Finance at the Hochschule für Bankwirtschaft in Frankfurt. He is also an Honorary Professorship at the University of Warwick Business School. Dr. Tompkins was formerly the Head of International Quantitative Research at Kleinwort Benson Investment Management. Prior to this, he was the Futures and Options Specialist at Merrill Lynch, Europe and an Interest Rate Options Dealer and Currency Options Trader at two major Chicago banks. He has three degrees from the University of Chicago, including an MA in Quantitative Methods and an MBA (honours).
Robert has authored three books on Options and edited a book on exotic options "From Black Scholes to Black Holes". Robert is currently writing a series on Exotic Options, which appears in the Austrian Journal, Bank Archiv. Robert's current research interests include comparisons of established and emerging markets, volatility estimation and forecasting, implied volatility smile patterns and the hedging of exotic contingent claims.
Aim of the courseThis course covers the latest developments in the pricing and risk management of Exotic Derivatives. The first day examines state-of-the-art techniques for risk management and hedging the risks of exotic options, whilst in the second day these principles will be used to examine individual exotic option contracts. Each major type of exotic option is illustrated with a practical case study.
Course Programme:WBS Training use simple Pre and Post event strategies to enhance you're learning from our seminars and extend beyond the two days seminar to maximise your understanding
Pre-course Questionnaire:Enables delegates to inform the course trainers what they specifically require from this event, equally allowing the course trainer a prior knowledge of their audience.
Pre-course Reading:An exhaustive list of relevant papers for preparation and suggestions for future research. The reading allows delegates an incite into what the event shall actually focus on, however most importantly preparing delegates fully to maximise the event taking them to the academic point where the course material takes over.
Post- course service:An email contact with the course trainer to answer any follow up questions that may arise after the event.
Course Leader: Dr. Dariusz GatarekDr. Dariusz Gatarek is a Manager in the Capital Markets Group, in the Warsaw office. He has over 6 years of financial markets experience within the banking environment. Since joining Deloitte & Touche in 2002, Dariusz advises clients on how to manage financial risks, evaluating risk management strategies and setting hedging objectives. He is also a specialist in pricing of financial derivatives.
Prior to joining Deloitte &Touche, Dariusz spent 6 years with BRE Bank during which he created equity warrants in the Polish market and then was responsible for implementing modern risk measurement methods as Value at Risk. Before joining BRE Bank Dariusz served in the Faculty of Mathematics at University of New South Wales and in Polish Academy of Science, where he still is Associate Professor.
Dariusz has published a number of papers on financial models of which perhaps his work with Alan Brace and Marek Musiela on Brace-Gatarek-Musiela (BGM) models of interest rates dynamics is the most well-known. This model is used by leading investment banks worldwide and is becoming a benchmark model of interest rate derivatives. He also contributed to analytical methods for credit risk. He holds PhD and DSc in Applied Mathematics from Polish Academy of Sciences.
For the first time WBS Training can offer a unique opportunity for investment banks to spend two days in a fully interactive seminar with one of the Founding Fathers of the now infamous BGM Model. This course covers the latest developments in the pricing and risk management of Interest Rate Derivatives. Each major model is illustrated with a practical case study. All cases studies use real-world data.
Day OneCFOs, Treasurers and risk managers in companies which finance using asset-backed securities; investment professionals involved in managing ABS portfolios; officers in banks and other financial institutions who manage portfolios of CDOs and other asset-backed securities; dealers who trade CDOs and credit-linked notes.
Course Leader: Prof. Ian GiddyIan Giddy has taught finance at NYU, Columbia, Wharton, Chicago and in 35 countries during the past three decades. He was Director of International Fixed Income Research at Drexel Burnham Lambert from 1986 to 1989. The author of more than fifty articles on international finance, he has served at the International Monetary Fund and the U.S. Treasury and has been a consultant with numerous corporations and financial institutions in the U.S. and abroad. He is the author or co-author of The International Money Market, The Handbook of International Finance, Cases in International Finance, Global Financial Markets, Asset Securitization in Asia and The Hudson River Watertrail Guide.
Pre / Post Course Service:WBS Training use simple Pre and Post event strategies to enhance your learning from our seminars and extend beyond the two days seminar to maximise your understanding
Pre-course Questionnaire: Enables delegates to inform the course trainers what they specifically require from this event, equally allowing the course trainer a prior knowledge of their audience. Pre-course Reading: The reading allows delegates an incite into what the event shall actually focus on, however most importantly preparing delegates fully to maximise the event taking them to the academic point where the course material takes over. Post- course service: An email contact with the course trainer to answer any follow up questions that may arise after the event.
Aim of the CourseThe European asset-backed securities market has provided fertile ground for financial hybridization. Originating in a number of countries and legal frameworks, ABS deals - securities backed by assets that have been separated from their originator and placed in a special-purpose company - often demand specialized pricing, risk analysis and hedging. Synthetic and unfunded asset-backed securities make this need more pressing. This workshop will explore some of these variants, and explore their components from the standpoint of quantitative analysis. Participants will get involved in the details of a number of deals and have the opportunity to work in groups on hands-on applications.
Course Programme:Development of quantitative methods based on stochastic analysis is an important achievement of modern financial mathematics. Risk Analysis in Finance and Insurance offers the first comprehensive yet accessible introduction to the ideas, methods, and techniques that have transformed risk management into a quantitative science and led to unified methods for analyzing risk in both the insurance and the finance arenas. Self-contained and full of exercises and worked examples, the book serves equally well as a text for courses in financial and actuarial mathematics and as a professional reference for financial analysts and actuaries. Ancillary electronic material will be available for download from the publisher's Web site.
Key featuresFinancial mathematics is going through a period of intensive development, particularly in the area of stochastic analysis. This timely work presents a comprehensive, self-contained introduction to stochastic financial mathematics. It is based on lectures given at Moscow State University, "Stochastic Analysis in Finance", and comprises the basic methods and key results of the theory of derivative securities pricing in discrete financial markets.
The following elements: martingales, semimartingales, stochastic exponents, Itô's formula, Girsanov's theorem, and more, are used to characterize notions such as arbitrage and completeness of financial markets, fair price and hedging strategies for options, forward and futures pricing, and utility maximization. Limiting transition from a discrete to continuous model with derivation of the famous Black-Scholes formula is shown.
The book contains a wide spectrum of material and can serve as a bridge to continuous models. It is suitable as a text for graduate and advanced graduate students studying economics and/or financial mathematics.
Contemporary finance and actuarial calculations have become so mathematically complex that a rigorous exposition is required for an accurate and complete presentation. This volume delivers just that. It gives a comprehensive and up-to-date methodology for financial pricing and modelling. Also included are special cases useful for practical applications.
Beyond the traditional areas of hedging and investment on complete markets (the Black-Scholes and Cox-Ross-Rubinstein models), the book includes topics that are not currently available in monograph form, such as incomplete markets, markets with constraints, imperfect forms of hedging, and the convergence of calculations in finance and insurance.
The book is geared toward specialists in finance and actuarial mathematics, practitioners in the financial and insurance business, students, and post-docs in corresponding areas of study. Readers should have a foundation in probability theory, random processes, and mathematical statistics.
UnRisk Pricing Engine for Mathematica, combines a computationally optimized numerical C++ engine with Mathematica's unique computing environment.
Having linked three task-oriented front-ends (Mathematica Notebooks,
Excel Workbooks and Pont&Clickable Forms) to the same computational
kernel, it provides a platform, which unifies the pricing and
analytics environment for trading, risk management and risk
controlling.
Powered by Adaptive Integration, a breakthrough development in
numerical pricing schemes, it empowers derivatives market
participants to price and manage their risk with an unmatched
accuracy, speed and robustness. Mathematica's high level programming
environment allows modeling and valuation cycles with new structured
products in a fraction of the expected time and thus allow for the
exploitation of new market opportunities quickly. Utilizing
Mathematica's visualization capabilities, users obtain insight into
the risk of complex instruments and contract features by scenario
analysis.
The UnRisk Pricing Engine covers a large variety of derivatives and
structured instruments of equities, FX and interest rates with highly
sophisticated contract features.
Various models for the dynamics of the underlying are implemented.
Advanced calibration schemes, overcoming the intrinsically
ill-conditioned nature of model calibration, identify the model
parameters from market data and thus allow consistent pricing.
The UnRisk consortium: MathConsult GmbH, executive company of the Industrial Mathematics Competence Center in Austria, makers of UnRisk. Uni software plus GmbH, UnRisk representative.
Web: http://www.unriskderivatives.comThe main computation evaluates near-minimax approximations derived from those in "Rational Chebyshev approximations for the error function" by W. J. Cody, Math. Comp., 1969, 631-637. This transportable program uses rational functions that theoretically approximate the normal distribution function to at least 18 significant decimal digits. The accuracy achieved depends on the arithmetic system, the compiler, the intrinsic functions, and proper selection of the machine-dependent constants.
The code in Fortran77 and in C can be found at