Dependency modelling
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Dependency modelling. Data Challenge. 12 July 2007. Welcome!. Short introduction to Quantitative Finance Network Lighthill Risk Network Launch of the Data Challenge Next Steps Pub? Counts as 1.5 hours CPD!. “Harness collective intelligence”. Quantitative Finance Network.

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Dependency modelling

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Dependency modelling

Dependency modelling

Data Challenge

12 July 2007


Welcome

Welcome!

  • Short introduction to

    • Quantitative Finance Network

    • Lighthill Risk Network

  • Launch of the Data Challenge

  • Next Steps

  • Pub?

  • Counts as 1.5 hours CPD!

“Harness collective intelligence”


Quantitative finance network

Quantitative Finance Network

  • Quant & Mammon Study (1999)

    • Centre for the Study of Financial Innovation (CSFI)

  • Quantitative Finance Initiative (QFI)

    • Engineering & Physical Sciences Research Council (EPSRC)

    • Faculty and Institute of Actuaries

    • Four Rounds of Funding (2001 to 2004)

  • EPSRC’s Sustainability Objective

    • Switch from Directed to Responsive Mode

    • To build a Network

“Pick the best tool for the job”


Quantitative finance network1

Quantitative Finance Network

Objectives:

  • To build a sustainable network

    • linking researchers and practitioners

    • to support the UK’s Financial Services sector

  • To identify challenges and opportunities

    • to initiate and support research

    • to present funding opportunities

  • To foster collaboration

  • Branding for Profession’s knowledge transfer activities

    • CPD, research groups and workshops

“Search out and use prior art”


Quantitative finance network2

Quantitative Finance Network

“If you find a useful tool…”


Lighthill risk network

Lighthill Risk Network

  • Major initiative with other core members

    • Lloyd’s, Benfield, RMS, Guy Carpenter, Catlin

  • Bridge between academia and industry

  • Offers “expert panels” on various risk areas of interest to insurers:

    • Catastrophe modelling

    • Climate Change

    • http://www.lighthillrisknetwork.org

“…post it and tell the world”


Lighthill risk network1

Lighthill Risk Network

  • Not for profit, set up Jan 2006, launched at Lloyd’s in April 2007

  • Based at the Lighthill Institute of Mathematical Sciences (LIMS) and administered within UCL

  • Role as a facilitator not a sponsor of research

  • No equivalent organisation exists, nearest are:

    • QFN (Quantitative Finance Network) funded by EPSRC and run by Institute of Actuaries

    • RPI (Risk Prediction Initiative) which sponsors research from Bermuda

“We need a new relationship with IT”


Lighthill risk network2

Lighthill Risk Network

“Harness collective intelligence”


Dependency modelling

Dependency modelling

  • Timetable

    • 12 July 2007 : Launch Pseudo Data

    • 28 September 2007 : Solutions submitted to us

    • 30 October : Climb the learning curve

    • 8 November : Results and Keynote Speech

“Pick the best tool for the job”


The data challenge

The data challenge

  • 10 years aggregate claims experience

  • Psuedo classes of business

    • Property - Direct

    • Property - Treaty

    • Directors & Officers/Professional indemnity

    • Workers Compensation/Employers Liability

    • Aviation

    • Marine

    • Terrorism

“Pick the best tool for the job”


The data challenge1

The data challenge

  • The data will be provided as five tables

    • each a separate realisation

    • each model slightly more complex

    • labelled A, B, C, D and E.

  • Assume aggregate claims’ figures are

    • accurate and final

    • not subject to any estimation error.

“Pick the best tool for the job”


The data challenge2

The data challenge

  • E.g model A

“Pick the best tool for the job”


The data challenge3

The data challenge

  • what is 99.5% Aggregate VaR? (across all lines of business)

  • what is 99.5% Aggregate TVaR (E(X|X>VaR(X))

  • what is Mean for each line of business individually?

  • what is the Price for each line of business individually?

“Pick the best tool for the job”


The data challenge4

The data challenge

  • Methods

    • Purpose = illustrate different approaches

    • Any techniques may therefore be applied

    • As long as participants are prepared to describe these and present them at the autumn seminars.

“Pick the best tool for the job”


The data challenge5

The data challenge

Submissions

  • Answers should be presented using the template to be supplied

  • Accompanied by a written description of the approach

    • submissions used to select who will be invited to present

    • identify and understand broadly the methods used

    • without being overly long or going into great technical depth!

    • 1,000 words (ish)

    • Longer descriptions also welcome as attachments.

  • The completed answer templates and written submissions should be

    • sent to Nicky Wilkinson at [email protected]

    • by 28th September 2007.

    • include full identification and contact details

    • or upload yourself to the wiki and send a link to Nicky…

“Pick the best tool for the job”


The data challenge6

The data challenge

Prizes (just for fun…)

  • Answers ranked on absolute difference from the organisers’ calculated estimates (OCE).

    • this will give 15 rank figures for each submission

    • the participant with the lowest sum of these ranks will be judged the winner.

  • Missing answers will be given the lowest rank

  • Equally good answers across participants will be given the same rank.

  • The prize for the best submission will be something.

  • The winner and two runners-up will be announced at the autumn event and their names will be published in The Actuary magazine.

“Pick the best tool for the job”


Dependency modelling

The Toolkit Manifesto

  • Pick the best tool for the job

  • Search out and use Prior Art

  • If you find a useful tool, post it and tell the World

  • Harness collective intelligence

  • We need a new relationship with IT


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