Prof. Dr. Gareth W. Peters (FIOR, YAS-RSE, CStat-RSS)

QRSLab        

 

Chair Prof. for Statistics in Risk and Insurance,

Director of the Scottish Financial Risk Academy (SFRA),

Department of Actuarial Mathematics and Statistics

Heriot-Watt University, Edinburgh, UK. 

Research Profile URL )

 

Currently:

Edinburgh HW:

Lecturing Portfolio Theory and Asset Models.

New Reports
 

Mortality Models Incorporating Long Memory Improves Life Table Estimation: A Comprehensive Analysis (March 26, 2018).  SSRN   

News Items:

Participated in the latest Data Driven Innovation Panel  (url)News

Recent Travels:

2019 July  Key Note presentation at  "Insurance Mathematics and Economics (IME) International Colloquium",  Berlin- Germany (Declined).

PAST EVENTS

2019 June   Visiting Professor at Institute of Statistical Mathematics, Tokyo, Japan.

2019 May 28/29  Key Note presentation at "International Workshop on Stress Test and Risk Management",  Ecole-Polytechnique and BNP Paribas- Paris, France.

2019 May 18/19  Key Note presentation at "DGVFM  Hannover Actuarial Society", Hannover, Germany.

2019 May 14/15  Key Note presentation at "21st OpRisk Europe Conference", London, UK.(Declined).

2019 March Invited Public Lecture "Macquarie University", Sydney, Australia

2019 March Key Note presentation at "Yorkshire Actuarial Society ", UK.

2019 Feb Organising "SFRA Colloquium and Workshop " International Centre for Mathematical Sciences (ICMS), Edinburgh UK.

2018 Oct  Key Note presentation at "Actuary Redefined", KL, Malaysia - HW University.

2018 July/August  Visiting Professor,  Institute of Statistical Mathematics, Tokyo, Japan.

2018 July  Keynote Presenter R in Insurance,  Cass Business School, London UK.

2018 July  Keynote Presenter Machine Learning Summer School on Risk and Insurance,  Technical University of Vienna, Vienna.

2018 July  Invited Presenter IMS Conference,  Lithuania.

2018 June  Visiting Prof. University of Lille,  France.

2018 June  Invited Presenter International Congress of Actuaries,  Berlin Germany.

2018 April-May  Visiting Prof. TUM Create,  Singapore.

2018 May  Visiting Prof. Bank of Thailand adn Mahidon University, 

Bangkok, Thailand.

2018 Feb-2018 March Visiting Prof. Insitute of Statistical Mathematics, 

Tokyo, Japan.

Spatial Temporal Modelling STM2018 Workshop Coorganiser.

(see URL of program)

2018 Jan  Visiting Prof. Central Bank of Thailand (Jan 2018)

2017 July-2018 Jan Visiting Prof. ETH D-Math and

Forschungsinstitut fuer Mathematik (FIM)

(Aug-Jan 2017)

Nachdiploma Prof. for Graduate Lecture Series:

'Statistical Machine Learning Methods for Risk and Insurance'   

(Lecture notes available)

Specializing in Statistical Solutions in Risk and Insurance:

Theory, Methodology and Practice

 

RESEARCH

AREAS​

  • Statistical Risk Management
  • Statistical Insurance
  • Monte Carlo Methods and Sampling
  • Agricultural Finance, Green Finance and Urban Finance
  • Algorithmic Trading and High Frequency Finance
  • Statistical Finance and Econometrics
  • Bayesian Modelling and Methodology
  • Regulations Research
  • Blockchain and Virtual Currency
  • Spatial and Temporal Modelling
Statistical Risk Management

Quantitative modelling: 

  • Operational Risk, Credit Risk, Market Risk

Statistical Insurance

Quantitative modelling for:

  • Non-Life and General Insurance; 

  • Longevity and mortality modelling; 

  • Usage based Insurance

  • Catastrophe Modelling and Catstrophe Bonds

Regulations Research

Expertise in financial regulation:

  • Basel I, II, 2.5, III - Operational Risk, Credit Risk, Market Risk

  • Stress Testing 

  • Solvency II and Swiss Solvency Test

  • Exchange Regulations: MiFID, MiFID II, MiFIR, Dodd-Frank, REMIT, T2S, Reg NMS..

 
Statistical Finance and Econometrics​
  • Multifactor models for Commodities

  • Dynamic Cointegration Modelling 

  • State Space Modelling 

  • Index Models

  • Portfolio Allocation Methods

Algorithmic Trading and High Frequency Finance
  • Lit and Dark Limit Order Book Stochastic Modelling

  • Commodities, Currency, Equity, Bonds, Sports Markets.

  • Carry Trades

  • Crush Trades

  • Convexity Trades

Agricultural Finance, Green Finance and Urban Finance
  • Green Bonds

  • Agricultural Modelling

  • Farming and Crop Insurance

  • Smart City and Urban Analytics Finance

Blockchain and Virtual Currency
  • Blockchain applications

  • Blockchain regulations

  • Virtual Currency and Economics 

Spatial and Temporal Modelling
  • Spatial-Temporal Models

  • Sensor Networks

  • Signal Processing

Bayesian Modelling and Sampling Methodology
  • Hierarchical Bayesian Models

  • Prior Ellicitation Methods

  • Monte Carlo Methods: 

Sequential Monte Carlo

Markov Chain Monte Carlo

Indirect Inference

Approximate Bayesian Computation​

OUR VISION

The agenda of this laboratory is to produce innovative and cutting edge statistical solutions to modelling in applied Financial risk and Insurance.

We focus on innovative and emerging areas of high impact to research, regulators, industry and practitioners that require research level academic developments both of a fundamental nature and a practical quantitative nature.

This laboratory is specifically interested in modelling applied numerical and methodological financial risk problems of signficance in the financial industry and regulators - as such it aims to develop strategic partnership of a research nature with industry.  

Big data analytics in risk and insurance is an emerging field that is covered in many reserach themes in this laboratory

The QRSLab is a collective of many different research skills and expertise in multidisciplinary working group.

IF YOU ARE INTERESTED IN COLLABORATION OPPORTUNITIES WITH THE QRSLab ON RESEARCH PROJECTS or honours, MSc., Ph.D. or Post doctoral opportunities - see contact information .

 

QRSLab Researchers

Dr. Gareth W. Peters (FIOR, YAS-RSE)

PhD. Statistics, MSc. (Research Cambridge),

BSc. (hons 1st), BEng (hons 1st) Uni. Melb.

Current Research Affiliations 

  1. Elected Fellow of the Young Academy of Scotland - Royal Society of Edinburgh (YAS-RSE).

  2. Elected Fellow of the Institute of Operational Risk Professionals.

  3. Visiting Fellow and Theme Leader for Insurance in Alan Turing Institute.

  4. Honorary Prof. of Statistics at University College London, 2018+

  5. Core Member of Edinburgh University Centre for Statistics.

  6. Affiliated Prof. of Statistics in University of New South Wales Australia 2015+ 

  7. Affiliate Member of Systemic Risk Center, London School of Economics 2014+

  8. Affiliate Member of Oxford Mann Institute, Oxford University (OMI) 2013+

  9. Honorary Prof. of Statistics in University of Sydney Australia 2018+

  10. Honorary Prof. of Statistics in Maquarie University, Australia 2018+ 

  11. Visiting Prof. in Institute of Statistical Mathematics, Tokyo, Japan 2009-2018+

Previous Research Affiliations 

  1. Adjunct Scientist: Mathematics, Informatics and Statistics, Commonwealth Scientific and Industrial Research Organisation (CSIRO) - Australia. 2009 - 2016.

  2. Principle Investigator in CSML , University College London (UCL) 2011-2017

  3. Academic Member: UK PhD Center in Financial Computing (UCL); 2012-2017

  4. Affiliated Prof. School of Earth and Space Sciences, Peking University PKU, Beijing, China 2015+

Membership of Societies
 

  1. Fellow of the Institute of Operational Risk Practitioners, London, UK.

  2. International Society of Bayesian Analysis (ISBA)

  3. Royal Statistical Society RSS, UK

  4. YAS Royal Society of Edinburgh, UK

Postdoctoral Researchers

Working on Functional Data Analysis for Insurance.

Dr. Dorota Toczydłowska

Based at University of Technology Sydney (UTS) - joint with Prof. Matthew Wand and Prof. Louise Ryan

Advanced Machine Learning research in crypto-currencies 

Anna Zaremba (Ph.D. Submitted - to be defended after COVID-19)

Crypto-ML Research Member

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Ph.D. Researchers

PhD. Topic: Machine Learning Methods for Credit Portfolio Analytics

Supervisors: Prof. Gareth W. Peters and Prof. Mike Chantler

Edward Antonian (2019+)

Heriot-Watt Edinburgh and Royal Bank of Scotland

PhD. Topic: Machine Learning Methods for Credit Portfolio Analytics

Supervisors: Prof. Gareth W. Peters and Prof. Mike Chantler

Cole Van Jaarsveldt (2019+)

Heriot-Watt Edinburgh and Royal Bank of Scotland

PhD. Topic: Data Combining Methods

Supervisors: Prof. Gareth W. Peters and Prof. Mike Chantler

Pasin Marupanthorn (2019+)

Heriot-Watt Edinburgh

PhD. Topic:  Hidden Markov Models and Finance

Supervisors: Dr. Guido Germano, Dr. Gareth W. Peters  and Dr. Kostas Manolarkis

Andreas Koukorinis (2013+)

Set up Hedge Fund STRATAGEM London

PhD. Topic: Non-Stationary Basis Decompositions and Stable Processes

Supervisors: Dr. Gareth W. Peters and Dr. Nourddine Azzaoui

Marta Campi (2016+)

PhD. Topic: Machine Learning Methods for Momentum Strategies

Supervisors: Dr. Gareth W. Peters and Dr. Franz Kiraly

Fabio Dias (2016+)

Barclays Bank London

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CONTACT

Dr. Gareth W. Peters

QRSLab

OUR ADDRESS

Department of Actuarial Mathematics and Statistics, 

Heriot-Watt University

Edinburgh, Scotland, UK

Email: garethpeters78@gmail.com

Email: g.peters@hw.ac.uk
Tel:  +44-07710-598847

Tel:  email best

Office Number:

CM G.03 Edinburgh Campus, Riccarton, Heriot-Watt (Gate 1)

For any general inquiries, please fill in the following contact form:

 
 

QRSLab since 2009

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