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Professor Bernard Wong

Professor Bernard Wong

Head of School

PhD (ANU)

Fellow of the Institute of Actuaries of Australia

BCOM(Hons) in Actuarial StudiesÌý(Macq)

Business School
School of Risk and Actuarial Studies

Professor Bernard Wong is Head of the School, Risk and Actuarial Studies at the University of New South Wales, Australia, which has grown to be one of the largest and most successful risk and actuarial departments in the world in both its education and research programs, including being global ranked #1 business school in risk, insurance and actuarial research. He is a Fellow of the Institute of Actuaries of Australia, a Fulbright Scholar, and obtained his PhD from the Australian National University.

His current research interests span two interrelated main areas: AI/ML enhanced actuarial methods for risk modelling, and capital modelling for risk and insurance businesses - especially under climate change, dependence, and extremes. Bernard is co-lead of the Innovations in Risk, Insurance, and Superannuation (IRIS) Knowledge Hub, a chief investigator in the UNSW Institute of Climate Risk and Response, and founding member of the Business AI Lab. His research is funded via Australian Research Council Linkage and Discovery Project schemes, and he has been recognised via the award of numerous prizes, including the Melville Practitioner Prize, Hachemeister Prize (twice) and the Taylor-Fry Silver Prize.

Bernard has taught most of the courses corresponding to the professional actuarial syllabus, with a particular focus in recent years in the areas in innovations in the areas of actuarial data science, and in quantitative models of enterprise risk management.

Bernard is currently on the Board of ASTIN, the non-life insurance section of the International Actuarial Association, and previously also served on the Australian Actuaries Institute Data Analytics (Data Science) Practice Committee.

Location
Room 647, Business School Building
  • Journal articles | 2024
    Avanzi B; Lavender M; Taylor G; Wong B, 2024, 'Detection and treatment of outliers for multivariate robust loss reserving', Annals of Actuarial Science, 18, pp. 102 - 125,
    Journal articles | 2024
    Avanzi B; Lavender M; Taylor G; Wong B, 2024, 'On the impact of outliers in loss reserving', European Actuarial Journal, 14, pp. 257 - 296,
    Journal articles | 2024
    Avanzi B; Li Y; Wong B; Xian A, 2024, 'Ensemble distributional forecasting for insurance loss reserving', Scandinavian Actuarial Journal, 2024, pp. 971 - 1012,
    Journal articles | 2024
    Avanzi B; Taylor G; Wang M; Wong B, 2024, 'Machine Learning with High-Cardinality Categorical Features in Actuarial Applications', ASTIN Bulletin, 54, pp. 213 - 238,
    Journal articles | 2023
    Avanzi B; Chen P; Henriksen LFB; Wong B, 2023, 'On the surplus management of funds with assets and liabilities in presence of solvency requirements', Scandinavian Actuarial Journal, 2023, pp. 477 - 508,
    Journal articles | 2022
    Al-Mudafer MT; Avanzi B; Taylor G; Wong B, 2022, 'Stochastic loss reserving with mixture density neural networks', Insurance: Mathematics and Economics, 105, pp. 144 - 174,
    Journal articles | 2021
    Avanzi B; Beaulieu GB; de Micheaux PL; Ouimet F; Wong B, 2021, 'A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables', Journal of Mathematical Analysis and Applications, 499, pp. 124982,
    Journal articles | 2021
    Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2021, 'A counterexample to the existence of a general central limit theorem for pairwise independent identically distributed random variables', Journal of Mathematical Analysis and Applications, 499,
    Journal articles | 2021
    Avanzi B; Lau H; Wong B, 2021, 'On the optimality of joint periodic and extraordinary dividend strategies', European Journal of Operational Research, 295, pp. 1189 - 1210,
    Journal articles | 2021
    Avanzi B; Lau H; Wong B, 2021, 'Optimal periodic dividend strategies for spectrally negative Lévy processes with fixed transaction costs', Scandinavian Actuarial Journal, 2021, pp. 645 - 670,
    Journal articles | 2021
    Avanzi B; Taylor G; Vu PA; Wong B, 2021, 'On unbalanced data and common shock models in stochastic loss reserving', Annals of Actuarial Science, 15, pp. 173 - 203,
    Journal articles | 2021
    Avanzi B; Taylor G; Wang M; Wong B, 2021, 'SynthETIC: An individual insurance claim simulator with feature control', Insurance Mathematics and Economics, 100, pp. 296 - 308,
    Journal articles | 2021
    Avanzi B; Taylor G; Wong B; Xian A, 2021, 'Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework', European Journal of Operational Research, 290, pp. 177 - 195,
    Journal articles | 2021
    Avanzi B; Taylor G; Wong B; Yang X, 2021, 'On the modelling of multivariate counts with Cox processes and dependent shot noise intensities', Insurance: Mathematics and Economics, 99, pp. 9 - 24,
    Journal articles | 2020
    Avanzi B; Lau H; Wong B, 2020, 'Optimal periodic dividend strategies for spectrally positive Lévy risk processes with fixed transaction costs', Insurance: Mathematics and Economics, 93, pp. 315 - 332,
    Journal articles | 2020
    Avanzi B; Taylor G; Vu PA; Wong B, 2020, 'A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving', Insurance: Mathematics and Economics, 93, pp. 50 - 71,
    Journal articles | 2018
    Avanzi B; Henriksen LFB; Wong B, 2018, 'On the distribution of the excedents of funds with assets and liabilities in presence of solvency and recovery requirements', ASTIN Bulletin, 48, pp. 647 - 672,
    Journal articles | 2018
    Avanzi B; Taylor G; Wong B, 2018, 'Common shock models for claim arrays', ASTIN Bulletin, 48, pp. 1109 - 1136,
    Journal articles | 2018
    Avanzi B; Tu V; Wong B, 2018, 'Optimal Dividends Under Erlang(2) Inter-Dividend Decision Times', Insurance: Mathematics and Economics, 79, pp. 225 - 242,
    Journal articles | 2017
    Avanzi B; Pérez JL; Wong B; Yamazaki K, 2017, 'On optimal joint reflective and refractive dividend strategies in spectrally positive Lévy models', Insurance: Mathematics and Economics, 72, pp. 148 - 162,
    Journal articles | 2016
    Avanzi B; Tao J; Wong B; Yang X, 2016, 'Capturing non-exchangeable dependence in multivariate loss processes with nested Archimedean Lévy copulas', Annals of Actuarial Science, 10, pp. 87 - 117,
    Journal articles | 2016
    Avanzi B; Taylor G; Wong B, 2016, 'Correlations between insurance lines of business: An illusion or a real phenomenon? Some methodological considerations', ASTIN Bulletin, 46, pp. 225 - 263,
    Journal articles | 2016
    Avanzi B; Taylor GC; Vu PA; Wong B, 2016, 'Stochastic Loss Reserving with Dependence: A Flexible Multivariate Tweedie Approach', Insurance: Mathematics and Economics, 71, pp. 63 - 78,
    Journal articles | 2016
    Avanzi B; Tu V; Wong B, 2016, 'A Note on Realistic Dividends in Actuarial Surplus Models', Risks, 4, pp. 37 - 37,
    Journal articles | 2016
    Avanzi B; Tu V; Wong B, 2016, 'On the interface between optimal periodic and continuous dividend strategies in the presence of transaction costs', Astin Bulletin: The Journal of the ASTIN and AFIR Sections of the International Actuarial Association, 46, pp. 709 - 746,
    Journal articles | 2016
    Avanzi B; Wong B; Yang X, 2016, 'A micro-level claim count model with overdispersion and reporting delays', Insurance: Mathematics and Economics, 71, pp. 1 - 14,
    Journal articles | 2014
    Avanzi B; Tu V; Wong B, 2014, 'On optimal periodic dividend strategies in the dual model with diffusion', Insurance: Mathematics and Economics, 55, pp. 210 - 224,
    Journal articles | 2013
    Cheung E, 2013, 'On a periodic dividend barrier strategy in the dual model with continuous monitoring of solvency', Insurance: Mathematics and Economics, pp. 98 - 113,
    Journal articles | 2012
    Avanzi B; Wong BH, 2012, 'On a mean reverting dividend strategy with Brownian motion', Insurance: Mathematics and Economics, 51, pp. 229 - 238,
    Journal articles | 2011
    Avanzi B; Cassar LC; Wong BH, 2011, 'Modelling Dependence in Insurance Claims Processes with Lévy Copulas', ASTIN Bulletin, 41, pp. 575 - 609,
    Journal articles | 2011
    Avanzi B; Shen J; Wong BH, 2011, 'Optimal Dividends and Capital Injections in the Dual Model with Diffusion', ASTIN Bulletin, 41, pp. 611 - 644,
    Journal articles | 2010
    Wong BH; Lim A, 2010, 'A benchmarking approach to optimal asset allocation for insurers and pension funds', Insurance Mathematics and Economics, 46, pp. 317 - 327,
    Journal articles |
    Avanzi B; Shen J; Wong B, 'Optimal Dividends and Capital Injections in the Dual Model with Diffusion', SSRN Electronic Journal,
  • Working Papers | 2020
    Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Ouimet F; Wong B, 2020, A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin, ,
    Working Papers | 2015
    Taylor GC; Avanzi B; Wong B, 2015, Correlations between Insurance Lines of Business: An Illusion or a Real Phenomenon? Some Methodological Considerations, 2015ACTL11, ,
  • Preprints | 2023
    Avanzi B; Tan X; Taylor G; Wong B, 2023, Cyber Insurance Risk: Reporting Delays, Third-Party Cyber Events, and Changes in Reporting Propensity -- An Analysis Using Data Breaches Published by U.S. State Attorneys General, ,
    Preprints | 2023
    Avanzi B; Taylor G; Wang M; Wong B, 2023, Machine Learning with High-Cardinality Categorical Features in Actuarial Applications,
    Preprints | 2022
    Avanzi B; Chen P; Henriksen LFB; Wong B, 2022, On the surplus management of funds with assets and liabilities in presence of solvency requirements, ,
    Preprints | 2022
    Avanzi B; Lavender M; Taylor G; Wong B, 2022, Detection and treatment of outliers for multivariate robust loss reserving, ,
    Preprints | 2022
    Avanzi B; Lavender M; Taylor G; Wong B, 2022, On the impact of outliers in loss reserving, ,
    Preprints | 2022
    Avanzi B; Li Y; Wong B; Xian A, 2022, Ensemble distributional forecasting for insurance loss reserving, ,
    Preprints | 2021
    Al-Mudafer MT; Avanzi B; Taylor G; Wong B, 2021, Stochastic loss reserving with mixture density neural networks, ,
    Preprints | 2020
    Avanzi B; Beaulieu GB; de Micheaux PL; Ouimet F; Wong B, 2020, A counterexample to the central limit theorem for pairwise independent random variables having a common arbitrary margin,
    Preprints | 2020
    Avanzi B; Lau H; Wong B, 2020, On the optimality of joint periodic and extraordinary dividend strategies, ,
    Preprints | 2020
    Avanzi B; Lau H; Wong B, 2020, Optimal periodic dividend strategies for spectrally negative Lévy processes with fixed transaction costs, ,
    Preprints | 2020
    Avanzi B; Lau H; Wong B, 2020, Optimal periodic dividend strategies for spectrally positive Lévy risk processes with fixed transaction costs, ,
    Preprints | 2020
    Avanzi B; Taylor G; Wong B; Xian A, 2020, Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework, ,
    Preprints | 2020
    Avanzi B; Taylor GC; Vu PA; Wong B, 2020, A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving, ,
    Preprints | 2020
    Avanzi B; Taylor GC; Vu PA; Wong B, 2020, On unbalanced data and common shock models in stochastic loss reserving, ,
    Preprints | 2020
    Avanzi B; Taylor GC; Wang M; Wong B, 2020, SynthETIC: an individual insurance claim simulator with feature control, ,
    Preprints | 2020
    Avanzi B; Taylor GC; Wong B; Yang X, 2020, On the modelling of multivariate counts with Cox processes and dependent shot noise intensities, ,
    Conference Papers | 2018
    2018, 'How to proxy the unmodellable: Analysing granular insurance claims in the presence of unobservable or complex drivers'
    Conference Papers | 2016
    Avanzi B; Lavender G; Taylor GC; Wong B, 2016, 'On the Impact, Detection and Treatment of Outliers in Robust Loss Reserving', in Proceedings of the Actuaries Institute 2016 General Insurance Seminar, 13-15 November 2016 (Melbourne, Australia), Melbourne, presented at General Insurance Seminar, Melbourne, 13 November 2016 - 15 November 2016,
    Preprints | 2016
    Avanzi B; Pérez J-L; Wong B; Yamazaki K, 2016, On optimal joint reflective and refractive dividend strategies in spectrally positive Lévy models, ,
    Other | 2014
    Avanzi B; Taylor G; Wong B, 2014, Research into claim dependencies: an industry and academic collaboration,
    Preprints |
    Avanzi B; Boglioni Beaulieu G; Lafaye de Micheaux P; Wong B, A Counterexample to the Central Limit Theorem for Pairwise Independent Random Variables Having a Common Absolutely Continuous Arbitrary Margin,
    Preprints |
    Avanzi B; Lau H; Wong B, Optimal Periodic Dividend Strategies for Spectrally Positive Lévy Risk Processes With Fixed Transaction Costs, ,
    Preprints |
    Avanzi B; PPrez J-L; Yamazaki K, On Optimal Joint Reflective and Refractive Dividend Strategies in Spectrally Positive LLvy Processes,
    Preprints |
    Avanzi B; Tao J; Wong B; Yang X, Capturing Non-Exchangeable Dependence in Multivariate Loss Processes with Nested Archimedean LLvy Copulas,
    Preprints |
    Avanzi B; Taylor G; Vu PA; Wong B, A Multivariate Evolutionary Generalised Linear Model Framework with Adaptive Estimation for Claims Reserving, ,
    Preprints |
    Avanzi B; Taylor G; Vu PA; Wong B, On Unbalanced Data and Common Shock Models in Stochastic Loss Reserving, ,
    Preprints |
    Avanzi B; Taylor G; Vu PA, Stochastic Loss Reserving with Dependence: A Flexible Multivariate Tweedie Approach,
    Preprints |
    Avanzi B; Taylor G; Wong B; Xian A, Inference of Counts Using Markov-Modulated Non-Homogeneous Poisson Processes,
    Preprints |
    Avanzi B; Taylor G; Wong B; Yang X, A Multivariate Micro-Level Insurance Counts Model With a Cox Process Approach,
    Preprints |
    Avanzi B; Taylor G, Common Shock Models for Claim Arrays, ,
    Preprints |
    Avanzi B; Tu V; Wong B, A Note on Realistic Dividends in Actuarial Surplus Models,
    Preprints |
    Avanzi B; Tu V; Wong B, On Optimal Periodic Dividend Strategies in the Dual Model with Diffusion, ,
    Preprints |
    Avanzi B; Tu V; Wong B, On the Interface between Optimal Periodic and Continuous Dividend Strategies in the Presence of Transaction Costs,
    Preprints |
    Avanzi B; Tu V; Wong B, Optimal Dividends Under Erlang(2) Inter-Dividend Decision Times,
    Preprints |
    Avanzi B; Wong B; Yang X, A Micro-Level Claim Count Model with Overdispersion and Reporting Delays,
    Preprints |
    Avanzi B; Wong B, On a Mean Reverting Dividend Strategy with Brownian Motion, ,
    Preprints |
    Avanzi B, On the Distribution of the Excedents of Funds with Assets and Liabilities in Presence of Solvency and Recovery Requirements,
    Preprints |
    Li Y; Avanzi B; Wong B; Xian A, Ensemble Distributional Forecasting for Insurance Loss Reserving, ,
    Preprints |
    Wong B; Lim AEB, A Benchmarking Approach to Optimal Asset Allocation for Insurers and Pension Funds,
    Preprints |
    Wong B, On Modelling Long Term Stock Returns with Ergodic Diffusion Processes: Arbitrage and Arbitrage-Free Specifications, ,
  • Media | 2016
    Avanzi B; Taylor GC; Wong B, 2016, Construction of detailed correlation structures across GI business segments,
    Media | 2015
    Avanzi B; Taylor GC; Wong B, 2015, Are correlations real or imagined?,

  • 2020-2022: Tang, Q., Avanzi, B., and B. Wong.ÌýExtreme Value Theory Approaches to Insurance in a Catastrophic Environment, ARC Discovery Grant, AUD310,000.
  • 2013-2016: Avanzi, B., Wong, B., Taylor, G., Britt, S., Cakan, Y., Koob, D., Modelling claim dependencies for the general insurance industry with economic capital in view: An innovative approach with stochastic processes. ARC Linkage Grant, with Partner Organisations Allianz Australia, Insurance Australia Group, and Suncorp. AUD 320,861
  • 2014-15:ÌýAvanzi, B., Taylor, G., and B. Wong. General Forms of Dependency in Chain Ladder Structures. Actuaries Institute, Australian Actuarial Research Grant, AUD 10,000.
  • 2012-13: Chief Investigator (with Benjamin Avanzi and Greg Taylor) Australian Actuarial Research GrantAn innovative approach to stochastic claims reserving with dependence, AUD 35,000Ìý
  • 2011: Chief Investigator (with Benjamin Avanzi) UNSW Business School Research Grant, Optimal dividend problems in surplus models with stochastic firm prospect, AUD 25,000Ìý
  • 2010: Chief Investigator (with Benjamin Avanzi) Australian Actuarial Research Grant, Institute of Actuaries of Australia, AUD 20,000 On the economic value of aggregating dependent portfoliosÌý
  • 2010: Chief Investigator (with John Evans) Australian Actuarial Research Grant, Institute of Actuaries of Australia, AUD 26,000 Adequacy of the SGL & Age Pension System to fund the retirement needs of AustraliansÌý
  • 2010: Chief Investigator UNSW Business School Special Research Grant, AUD 9,724 Asset Liability Management for Equity-linked Insurance Products by Benchmarking​

  • Hachemeister Prize, 2023 awarde by the Casualty Actuarial Society (CAS) for the paper:ÌýEnsemble Distributional Forecasting for Insurance Loss Reserving
  • Taylor Fry General Insurance Silver Prize, 2018, awarded by the Actuaries Institute for:ÌýHow to proxy the unmodellable: Analysing granular insurance claims in the presence of unobservable or complex drivers
  • Hachemeister Prize, 2017 awarded by the Casualty Actuarial Society (CAS) for the paper: Correlations between insurance lines of business: An illusion or a real phenomenon? Some methodological considerations (2016, ASTIN Bulletin, 46:2)
  • Fulbright Award, 2001-2002. (Australian-American Fulbright Commission)
  • H M Jackson Price, 2005 (Institute of Actuaries of Australia).
  • A M Parker Prize, 2003 (Institute of Actuaries of Australia).
  • Melville Practitioner Prize, 2000 (Institute of Actuaries of Australia).

Current

Member of the Board - ASTIN; Co-Chair of Scientific Committee

Member of Management Board, ASTIN Bulletin

Ìý

Previous

Member, Actuaries Institute Data Analytics Practice Committee

Member, Actuaries Institute Exemptions Sub-Committee