Workshop on the Interface between Quantitative
Finance and Insurance
A satellite workshop of the Quantitative
Finance Programme of the Isaac Newton Institute and a 2005 Regional
Seminar of the AFIR Section of the International Actuarial Association
Edinburgh, 4 - 8 April 2005
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Programme
Days 1 and 2 of the workshop will consist of invited talks with a more
applied or practical orientation. (It is possible to register for these
two days only.) Days 3 to 5 will have a more academic flavour although
with some further applied talks. There is a framework of invited talks
on days 3 to 5, but there will also be contributed talks, which are now
shown on the timetable below.
Timetable
Monday 4 April
| 09.00 - 10.30 |
Registration |
| 10.30 - 11.30 |
John Hibbert (Barrie
and Hibbert)
Asset Models
|
| 11.30-12.30 |
Stefan Jaschke and Gerhardt Stahl
(Federal Financial Supervisory Authority (BaFin), Germany)
Internal models in banks and insurers
Download presentation: PDF file 1 | PDF file 2
|
| 12.30-14.00 |
Lunch |
| 14.00-15.00 |
Andrew Smith (Deloittes)
Stochastic mortality modelling
Download presentation: Powerpoint file |
| 15.00-16.00 |
John Mulvey (Princeton University)
Decentralised risk management for global financial
companies
Download presentation: PDF file of talk
| PDF file of Slides
|
| 16.00-16.30 |
Tea/Coffee |
| 16.30-17.30 |
Per Linnemann (Pensam, Denmark)
The role of the Chief Risk Officer
|
| 17.30-18.30 |
Reception hosted by AFIR |
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Tuesday 5 April
| 09.30-10.30 |
Craig Turnbull (Barrie
and Hibbert)
Risk-based capital
Download presentation: Powerpoint file
|
| 10.30 - 11.00 |
Coffee |
| 11.00-12.00 |
David McCarthy (Tanaka Business
School) and Cliff Speed (Hewitt Bacon and Woodrow)
Are DB schemes insurable?
Download presentation: PDF
file |
| 12.00-13.30 |
Lunch |
| 13.30-14.30 |
Con Keating and Chris Golden
(Finance Development Centre)
Evergreens: A new financial instrument
Download presentation: Powerpoint
file |
| 14.30-15.30 |
Nick Webber (Warwick Business
School)
Reducing dimensionality in interest-rate models
|
| 15.30-16.00 |
Tea/Coffee |
| 16.00-17.00 |
Phil Dybvig (Washington University
in St. Louis)
Life-cycle consumption and investment
Download presentation: PDF file of slides | PDF file of talk
|
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Wednesday 6 April
| 09.30-10.30 |
Ales Cerny (Imperial
College, London)
Performance of dynamic hedging strategies: the tale of
two trading desks
|
| 10.30-11.00 |
Coffee |
| 11.00-11.30 |
Enrico Biffis (Bocconi University)
A bidimensional approach to life portfolio valuations
and to the insurer's future business
Download presentation: PDF
file
|
| 11.30-12.00 |
Pierre Devolder (Université
Cathollique de Louvain)
Stochastic mortality and securitization of longevity
risk in a continuous time environment
Download presentation: Powerpoint
file
|
| 12.00-12.30 |
Elena Vigna (University of Turin)
A note on stochastic survival probabilities and their
calibration
Download presentation: PDF
file
|
| 12.30-14.00 |
Lunch |
| 14.00-15.00 |
John Aquilina (Bath and Cambridge
Universities)
The squared Ornstein-Uhlenbeck market |
| 15.00-15.30 |
Michael Monoyios (Brunel University)
Esscher transforms and martingale measures in
incomplete diffusion models |
| 15.30-16.00 |
Tea/Coffee |
| 16.00-16.30 |
Yue Kuen Kwok (Hong Kong
University of Science and Technology) Valuation of guaranteed
annuity options in affine term structure models
Download presentation: PDF file
|
| 16.30-17.00 |
David Forfar (Heriot-Watt
University)
Guarantee annuity rate options
Download presentation: Powerpoint
file | EXCEL spread sheet
|
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Thursday 7 April
| 09.30-10.30 |
Pauline Barrieu (London
School of Economics)
Transfer of non-tradeable risk
Download presentation: PDF
file
|
| 10.30 - 11.00 |
Coffee |
| 11.00-11.30 |
Antoon Pelsser (Erasmus University
Rotterdam)
On the applicability of the Wang transform for pricing
financial risks
Download presentation: Powerpoint
file
|
| 11.30-12.00 |
Tom Fischer (Heriot-Watt
University)
On the decomposition of risk in life insurance
Download presentation: PDF
file
|
| 12.00-12.30 |
Klaus Dragosits (HNO Medizinisch
Universität Wien)
Analysis of Risk Trading Networks
Download presentation: PDF
file
|
| 12.30-14.00 |
Lunch |
| 14.00-15.00 |
Dirk Becherer (Imperial College,
London)
Solutions to hedging problems with interacting Ito and
point processes
Download presentation: PDF
file
|
| 15.00-15.30 |
Johanna Neslehova (Swiss Federal
Institute of Technology Zurich)
Dependence of non-continuous random variables
Download presentation: PDF
file
|
| 15.30-16.00 |
Tea/Coffee |
| 16.00-16.30 |
Claudia Klüppelberg (Munich
University of Technology)
Ruin estimation in multivariate models with Clayton
dependence structure
Download presentation: PDF file
|
| 16.30-17.00 |
Martin Riesner (University of Ulm)
A risk-minimizing hedging strategy for unit-linked life
insurance contracts in a Levy process driven financial market |
| 19.30 |
Workshop Dinner |
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Friday 8 April
| 09.30-10.30 |
Rudiger Kiesel (University
of Ulm)
Fair Valuation of Insurance Contracts |
| 10.30 - 11.00 |
Coffee |
| 11.00-11.30 |
Radostina Kostadinova (Munich
University of Technology)
Integrated risk management when stock processes follow
an exponential Levy process
Download presentation: PDF file
|
| 11.30-12.00 |
François Quittard-Pinon (University
of Lyon 1)
Market value of life insurance contracts under
stochastic interest rates and default risk
Download presentation: PDF file
|
| 12.00-12.30 |
Michèle Vanmaele (Ghent
University)
Bounds for stop-loss premiums of life annuities with
random interest rates
Download presentation: PDF file
|
| 12.30-14.00 |
Lunch |
| 14.00-14.30 |
Edward Furman (University of Haifa)
Tail variance premium with applications for elliptical
portfolio of risks |
| 14.30-15.30 |
Andreas Kyprianou (Heriot-Watt
University)
Levy processes in insurance |
| 15.30-16.00 |
Close and Coffee |
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Workshop themes
(further details):
A: Stochastic asset models and asset-liability modelling for
life insurance and pensions
Recent years have seen the need for the development of stochastic
models which model a number of key variables affecting insurance
companies: economic variables such as interest rates and price
inflation; and other series directly relating to asset returns. Many
financial institutions already use such models for internal
asset-liability studies, to assess risks and also to manage their risks
in some circumstances by altering investment strategies and their
portfolio of liabilities. More recently regulators have begun to
require the use of stochastic asset models for statutory reserving
calculations.
B: Fair value, solvency testing and capital adequacy
Knowledge of the "fair value" of an insurance liability has increased
in terms of importance in recent years as a result of changes first in
international accounting regulations and second as actuaries see the
benefit of the clarity revealed in using this as a method o liability
valuation. Fair value can be interpreted as the price at which a
liability would trade if a well informed and liquid market existed in
this asset - even though such an asset is unlikely to exist at least in
the near future. This allows shareholders to assess accurately the
value of the company. Before the introduction of the use of "fair
values", a variety of valuation techniques were used for liabilities
that often had the effect of making it difficult for shareholders to
establish the true value of an insurance company. In many cases
liabilities incorporate substantial risks that are not diversifiable.
As examples:
- natural catastrophes;
- systematic mortality risk (that is, unanticipated changes in
population mortality rates);
- some pension liabilities are linked to salary growth which is a
non-tradable economic risk.
As such there is a need for continued development of the principles as
well as the practice underpinning fair value calculations. Financial
mathematics and mathematical economics offer a range of alternative
approaches to valuation in incomplete markets but there is little
guidance as to which of these approaches is appropriate for insurance
valuation.
Solvency testing and capital adequacy incorporates fair value but also
goes beyond. Specifically stochastic reserving is becoming an important
issue for insurers with practice and regulations beginning to mimic
banking practice. Thus insurers need to be able to demonstrate that
they have sufficient capital to withstand the risks they face
(insurance, economic and financial risks) with a high probability. Here
time horizons are generally much longer than those considered by banks
and this presents insurers with some different issues.
C: Long-term risks: pricing and risk assessment
The issue of stochastic reserving for capital adequacy has been
discussed already above. Long-term risks perhaps present greater
problems for modellers. Short-term risks often can be hedged reasonably
well using existing financial contracts in combination with suitably
diversified portfolios of liabilities. For long-term risks pricing and
hedging is more problematic. Some pensions and life insurance
liabilities fall due many decades ahead and some of these incorporate
financial guarantees. Portfolio risk management techniques which work
well for banks for portfolios of short-term derivatives cannot be
easily translated into methods for insurance companies: partly because
no markets exist in relevant, long-dated assets, and partly because
insurers cannot easily manipulate their portfolios of liabilities in
the same way that a bank can its portfolio of derivatives.
Relevant subtopics:
- asset models designed for long-term economic "reasonableness";
- development of new financial markets which help insurers to manage
their long-term insurance risks (e.g. mortality swaps);
- philosophical issues.
D: Dependence modelling, extreme-value theory, Levy processes
and their application in insurance problems
Many of the issues raised above have specific aspects that may well be
sensitive to the underlying stochastic processes and, for example, the
dependencies between asset classes and certain liabilities. These sorts
of issues are well known to have a substantial impact on short-term
risks. It is less clear to what extent that these issues are important
when we consider longer-term risk. It may be that model and parameter
risk is much more important.
E: Optimal stochastic control and optimal hedging problems in
insurance
There is a well-established body of research dealing with optimal
investment and consumption in the financial economics literature,
originally using the Hamilton-Jacobi-Bellman equation and more recently
using the martingale approach. These methods have recently begun to
find applications in insurance-related problems. Insurers and pension
plans have become much more aware of the need to manage their risks
effectively and this can be facilitated by using optimal control. To
date research has focused on relatively simple models with a view to
understanding which control variables do make a difference. There is
considerable scope for future work of both a theoretical and an applied
nature. For example, many problems in insurance involve incomplete
markets, requiring a more-sophisticated theoretical base that many
classical problems. On the applications side, many problems require
numerical solution. However, the existing literature does not give much
guidance on effective and accurate numerical methods.
F: Issues relating to specific contracts and securitisation of
insurance risks
Many of the risks described above which are carried by insurers could
be reduced by the use of practical hedging techniques and/or by the use
of new traded securities which incorporate relevant insurance risks.
This specific theme incorporates talks that might deal with the pricing
and hedging of specific contracts. Examples might include catastrophe
derivatives and guaranteed annuity options. Contract design here is a
key factor. A poorly designed security may be too expensive or may not
help insurers to an adequate extent, resulting in poor liquidity.
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Participants
31 March
| Name |
Institution |
| Andersson, Daniel |
Royal Institute of Technology Stockholm |
| Aquilina, John |
University of Bath |
| Bao, Chenming |
Heriot-Watt University |
| Barrieu, Pauline |
London School of Economcs |
| Becherer, Dirk |
Imperial College London |
| Berkaoui, Abdel |
University of Warwick |
| Berthon, Jean |
Institut des Actuaries Français |
| Biffis, Enrico |
Bocconi University |
| Butlin, Simon |
Standard Life Assurance Co |
| Cairns, Andrew |
Heriot -Watt University |
| Cerny, Ales |
Tanaka Business School |
| Danielsson, Johanna |
Skandia |
| Devin, Siobhán |
Dublin City University |
| Devolder, Pierre |
Université Cathollique de Louvain |
| Dragosits, Klaus |
Complex Systems Research Group |
| Dybvig, Philip |
Washington University in St Louis |
| Fischer, Tom |
Heriot-Watt University |
| Forfar, David |
Heriot-Watt University |
| Fu, Xingran |
Heriot-Watt University |
| Furman, Edward |
University of Haifa |
| Gaiser-Porter, Jurgen |
Willis |
| Gobet, Emmanuel |
Ecole Polytechnique |
| Golden, Chris |
Finance Development Centre |
| Goodman, Dougal |
The Foundation for Science and Technology |
| Hartinger, Jürgen |
Graz University of Technology |
| Henn, Peter |
Skandia |
| Hibbert, John |
Barrie and Hibbert |
| Hodges, Stewart |
University of Warwick |
| Hunt, Matthew |
Standard Life Assurance Co |
| Jaschke, Stefan |
Bundesanstalt für Finanzdienstleistungsaufsicht |
| Kautto, Erkki |
Tapiola Mut Life & Corp Life Ins Co Ltd |
| Keating, Con |
Finance Development Centre |
| Kiesel, Rudiger |
University of Ulm |
| Kleinow, Torsten |
Heriot-Watt University |
| Klüppelberg, Claudia |
Munich University of Technology |
| Kollar, Jozeph |
Heriot-Watt University |
| Kostadinova, Radostina |
Munich University of Technology |
| Kwok, Yue Kuen |
Hong Kong University of Science & Technology |
| Kyprianou, Andreas |
Heriot-Watt University |
| Lee, Peter |
Standard Life Assurance Co |
| Li, Robin |
Manulife Financial Corporation |
| Linnemann, Per |
Pen-Sam Liv Forsikringsaktieselskab |
| Lu, Li |
Heriot-Watt University |
| Maharaj, Ravindra |
Heriot-Watt University |
| Martin, Richard |
Standard Life Assurance Company |
| Martin-Löf, Anders |
Stockholm University |
| McCarthy, David |
Tanaka Business School |
| Moloney, Michael |
Mercer Investment Consulting |
| Monoyios, Michael |
Brunel University |
| Mueller, Alfred |
University Karlsruhe |
| Mueller, Marius |
Munich Reinsurance |
| Mulvey, John |
Princeton University |
| Mummenhoff, Gregor |
University of Ulm |
| Neslehova, Johanna |
Swiss Federal Institute of Technology Zurich |
| Oertel, Frank |
Heriot-Watt University |
| Ouwehand, Peter |
University of Cape Town |
| Owen, Mark |
Heriot-Watt University |
| Pelsser, Antoon |
Erasmus University Rotterdam |
| Pitts, Susan |
University of Cambridge |
| Quittard-Pinon, François |
University of Lyon 1, ISFA |
| Reed, Alan |
Standard Life Assurance Co |
| Riesner, Martin |
University of Ulm |
| Rogers, Chris |
University of Cambridge |
| Siu, Tak Kuen |
Heriot-Watt University |
| Smith, Andrew |
Deloitte |
| Speed, Cliff |
Hewitt Associates |
| Stahl, Gerhard |
Bundesanstalt für Finanzdienstleistungsaufsicht |
| Stevenson, David |
Standard Life Assurance Co |
| Stewart Roper, Kate |
Standard Life Assurance Co |
| Svensson, Jens |
Royal Institute of Technology Stockholm |
| Swanepoel, Johann |
Sanlam Investment Management |
| Turnbull, Craig |
Barrie and Hibbert |
| Vanmaele, Michèle |
Ghent University |
| Vigna, Elena |
University of Turin |
| Waters, Howard |
Heriot-Watt University |
| Webber, Nick |
University of Warwick |
| Wiese, Anke |
Heriot-Watt University |
| Wilkie, David |
Heriot-Watt University |
| Willder, Mark |
Heriot-Watt University |
| Zhang, Keli |
Heriot-Watt University |
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