Talks in Financial and Insurance Mathematics

[weekly bulletin FIM][Risk Days and Previous Talks][Links to Talk Series][March 2004][April 2004][May 2004][June 2004]

If you would like to get an email when new talks are announced, please send your name and email address to Ms. Aline Strolz, email strolz@isb.unizh.ch. Last mailing: September 23, 2004


Wednesday, June 30, 2004, 15.00-15.50 h (Campus Irchel, Y 36 M 94) Wednsday, June 30, 2004, 16.00-16.50 h (Campus Irchel, Y 36 M 94) Wednsday, June 30, 2004, 17.20-18.10 h (Campus Irchel, Y 36 M 94)
(Seminar on Stochastic Processes)

Thursday, June 24, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)
Abstract: We present solutions to the following two optimal stopping problems with finite time horizon: the problem of quickest disorder detection for Wiener process and the problem of pricing fixed-strike lookback American option in the Black-Scholes model. The method of proof is based on reducing the initial optimal stopping problems to parabolic free-boundary problems where the continuation regions are determined by continuous curved boundary and boundary surface, respectively. By means of the change-of-variable formula containing the local time of a diffusion process on curves and surfaces we show that the optimal boundaries can be characterized as unique solutions of the nonliear integral equations (in the second problem the latter follows from the early exercise premium representation).

(Seminar on Financial and Insurance Mathematics)
Thursday, June 24, 2004, 16.15 - 17.30 h (IFW, A32.1)
Abstract: In this paper, we analyse the evolution of prices in deregulated electricity markets. We present a general model that simultaneously takes
into account the following features: seasonal patterns, price spikes, mean reversion, price dependent volatilities and long term non-stationarity. We
estimate the parameters of the model using historical data from the European Energy Exchange. Finally, we demonstrate how it can be used for
pricing derivatives via Monte Carlo simulation.

(Optimization Seminar)
Thursday, June 17, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)           Abstract

(Seminar on Financial and Insurance Mathematics)
Wednesday, June 16, 2004, 17.30 h (Campus Irchel, Y 36 M 94)

(Seminar on Stochastic Processes)
Tuesday, June 15, 2004, 12.15 h - 13.30 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)         
(Colloquium on Financial and Insurance Mathematics)
Monday, June 7, 2004, 17.15 h (ETHZ, HG G 3) (Seminar on Financial and Insurance Mathematics)
Thursday, June 3, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Seminar on Financial and Insurance Mathematics)
Thursday, June 3, 2004, 15.30 h (ETHZ, HG E33.5) (Seminar on Financial and Insurance Mathematics)
Thursday, May 27, 2004, 17.15 h (ETHZ, HG D1.1)
Abstract: The speaker, jointly with two colleagues, Professor Howard Waters and Dr Sheauwen Yang, presented a long paper in 2003 on "Reserving, Pricing and Hedging for Policies with Guaranteed Annuity Options" (British Actuarial Journal, Vol 9, pp 263-425, 2003 and also http://www.actuaries.org.uk/files/pdf/sessional/sm20031027.pdf).  In it are discussed the three different concepts of "best estimate", or mean value, quantile or value-at-risk contingency reserves, and "fair value", which allows for the best estimate plus a charge for the "rent" of the extra capital needed to finance the required contingency reserves.  Hedging, using option pricing principles, may reduce the required contingency reserves, but not to zero.  Hedging usually increases the mean cost, so the fair value may either increase or reduce.  These are quite general concepts, applicable to any form of insurance, not just to policies with guaranteed annuity benefits.

(Federal Office of Private Insurance Seminar 2003/04, Seminar on Financial and Insurance Mathematics)
Tuesday, May 18, 2004, 12.15 h - 13.30 h  (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Lunchtime Seminar)
Friday, May 14, 2004, 09.30 h - 11.30 h (ETHZ, HG G60)
Abstract: The presentation addresses the valuation of Risk Based Capital (RC) for outstanding liabilities in P&C insurance. Two main components of RC are considered, Reserve RC (risk from past years claims) and Premium RC (risk from next year claims). Two different approaches to RC valuation are illustrated. A first method is based on the variability of the updating ratios of the ultimate loss estimates. The second approach is an application of the stochastic chain-ladder model where future claim payments are simulated by bootstrapping the observed data. In this framework the RCs are derived from the predictive distribution of future reserve assessments generated by the bootstrap procedure.
Numerical illustrations are provided.


Thursday, May 13, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Seminar on Financial and Insurance Mathematics)
Tuesday, May 11, 2004, 12.15 h - 13.30 h  (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Lunchtime Seminar)
Thursday, May 6, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Seminar on Financial and Insurance Mathematics)
Thursday, April 22, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)
Wednesday, April 21, 2004, 14.00 - 15.00 h (ETHZ, HG E33.1)
Thursday, April 15, 2004, 17.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)
Tuesday, April 13, 2004, 12.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43)
Tuesday, March 30, 2004, 12.15 h (ETHZ, Hermann-Weyl-Zimmer, HG G43) (Lunchtime Seminar)         
Monday, March 22, 2004, 16.15 h (ETHZ, HG F26.1)
Abstract: In this paper we develop two new numerical schemes of solving the asset pricing models with stochastic differential utility (SDU), which are formulated by either backward stochastic differential equation (BSDE) or forward-backward stochastic differential equation(FBSDE). The first scheme is based upon a traditional lattice algorithm of option pricing theories, involving the discretization scheme of coupled FBSDE, which is combined with a technique of solving numerically a certain type of nonlinear equations with respect to the backward state variables. The second one is a modified four-step scheme of solving the quasi-linear partial differential equation associated with the FBSDE. We demonstrate that our algorithm can successfully solve the asset pricing models with generalized SDU and the large investor problem with market impact which are typical examples such that the usual naive four-step scheme of Ma, Protter and Yong(1994) breaks down. For other applications we study the optimal consumption and investment policies of a representative agent with SDU, and the recoverability of preferences and beliefs from observed consumption data.

Monday, March 22, 2004, 17.15 h (ETHZ, HG F26.1)
Abstract: I give examples of new Exotic Barrier Options like "Edokko Options, Local Time Barrier Options". I calculate the prices of these options in Black Scholes Model and Discrete Time Model. Especially in Discrete Time Model, Preparing Discrete Ito Formula and Discrete Levy formula, I develop Discrete Stochastic Calculus and give an application for pricing exotic derivatives.

Tuesday, March 9, 2004, 14.30 h (Swiss Re, Mythenquai 50/60)
          Please register by sending an email to Mirella_Jolliet@swissre.com. Deadline: Friday, 20 February 2004.

Links to Talk Series:

  Risk Days and Previous Talks:
[Finance and Insurance][Department of Mathematics][ETH Zürich]
Created and supported by Uwe Schmock until September 12, 2003. Please send comments and suggestions to Gallus Steiger/Jörg Osterrieder, email: finance_update@math.ethz.ch.
Last update: April 15, 2004