7-9 December 2026, Sydney, Australia
3 days, 7-9 December 2026
The City campus of Macquarie Business School (level 24, 123 Pitt St, Sydney NSW 2000 Australia)
Contact email address: riskday@mq.edu.au
In-Person or Zoom
Climate change stands as one of the most daunting global challenges we face today. With palpable consequences on society, the economy, and our environment, its looming impacts are anticipated to intensify. Indeed, it poses a significant threat to the stability and growth of the global economy. The decarbonisation of the economy involves significant changes to the current structure of energy markets, the creation and design of new markets for carbon credit units, and the integration of new energy sources, such as hydrogen, into these markets. This has significant implications not only for the energy industry, but also for the financial sector and the entire economy.
Statistics, Actuarial and Financial Mathematics play a crucial role in mitigating the effects of climate change. Actuarial and Financial Mathematics provide tools for assessing and managing risk, while Statistics, which forms the basis of machine learning and data science, offers methods to model, assess, and monitor climate processes. This workshop aims to bring together experts in mathematics, statistics, and environmental studies; industry practitioners; and regulators to explore the challenges and opportunities of climate change and the impacts of the decarbonisation of the economy to the current structure of energy markets and in the integration of new energy sources.
This workshop series was hosted by the Institute of Statistical Mathematics, Japan in 2023 and 2024. It was then hosted by Macquarie University, Australia in 2025, and will again be hosted by the Centre for Emerging Risks and the Centre for Transforming Energy Markets at Macquarie University Business School, City Campus in Sydney, from 7 to 9 December 2026. This year, this workshop is organised jointly with the 15th annual Financial Risk Day hosted by Macquarie Business School since 2010.
Workshop Objectives:
Energy transitions: Examine risks, opportunities and solutions for the transition of energy markets, the decarbonisation of the economy and the integration of new energy sources.
Exploration of Spatial-Temporal Data: Dive deep into contemporary problems in spatial-temporal statistical data science, especially concerning climate and environmental risk assessment.
Understanding Financial Mathematics: Investigate the role of financial mathematics in assessing and managing climate change risks.
Impact Discussion: Discuss the broad implications of climate change and the associated challenges in risk management.
Research and Collaboration: Identify pressing research questions and foster opportunities for collaboration in the realm of climate change.
Model Development: Design new mathematical and statistical models to hedge against climate risks.
Financial Innovations: Develop novel financial products and services aimed at aiding clients in risk management. A secondary focus will be on optimizing the cost structure of existing financial services.
Integration of Machine Learning: Introduce integration models that employ statistical machine learning to simulate and predict climate change and/or economic scenarios.
Workshop Format:
Over three days, attendees will engage in a mix of lectures and discussions. As the event draws to a close, a roundtable discussion will focus on future challenges related to climate change and energy transitions, including actuarial insurance and financial mathematics and economic implications.
The proposed outcomes of this workshop include:
Creating a Collaborative Platform: Serving as a valuable forum for leading experts in mathematics, statistics, machine learning, and environmental studies to discuss the latest research on climate change.
Innovative Model Development: Creating new mathematical and statistical models for hedging climate risk, as well as simulating and predicting both climate change impacts and economic scenarios.
Financial Product Design: Developing new financial products and services that enable customers to manage climate risk, backed by predictive simulations of climate and economic outcomes.
Throughout this workshop, participants will delve into the most recent findings in statistics, mathematics, and machine learning, specifically focusing on financial mathematics and its applications in addressing climate change and energy transition. This exploration is crucial for understanding and managing the multifaceted concerns posed by climate change.
Prof. Pavel Shevchenko, Chair of the Organising Committee, Macquarie University (MQ)
Prof. Stefan Trueck, Macquarie University (MQ), Director of the Centre for Transforming Energy Markets
Prof. Tomoko Matsui, Shenzhen Loop Area Institute (SLAI)
Prof. Gareth W. Peters, University of California, Santa Barbara (UCSB )
Prof. Andrea Macrina, University College London (UCL)
Dr. Eric Ofosu-Hene, Leeds Beckett University (LBU)
RSVP by 5pm, 26 November 2026
Registration Fees
Regular Participants:
Climate Finance & Risk + Financial Risk Day (7-9 December 2026): AUD 300
Climate Finance & Risk (7-8 December 2026): AUD 200
Financial Risk Day (9 December 2026): AUD 200
Students (including PhD):
(7-9 December 2026): AUD 150
Online Participants:
(7-9 December 2026): AUD 75
All prices are in Australian dollars and 10% GST will be added at the registration checkout if applicable. The registration fee covers access to all sessions. Morning tea, lunch, afternoon tea and reception drinks will be provided for in-person participants.
Yongyang Cai, Professor in Department of Agricultural, Environmental and Development Economics at The Ohio State University. His research focuses on dynamic and stochastic integration of climate and the economy; integration of regional food, energy, water systems, and economy; and computational methods in economics. He has published peer-reviewed papers in leading academic journals, including Journal of Political Economy, Journal of the European Economic Association, Quantitative Economics, Journal of the Association of Environmental and Resource Economists, Journal of Environmental Economics and Management, Nature Climate Change, Proceedings of the National Academy of Sciences, and Operations Research. He is a co-investigator on several research projects funded by the National ScieAnce Foundation and USDA. He currently serves as an Associate Editor at Climatic Change, and an editorial board member at Computational Economics. Prior to joining OSU, Cai was a Senior Research Scientist at the Becker Friedman Institute and the Center for Robust Decision Making on Climate and Energy Policy of the University of Chicago, as well as a Visiting Fellow at the Hoover Institution of Stanford University. In 2021, he received the Erik Kempe Award in environmental and resource economics.
Kwangmin Jung is an associate professor in the Department of Industrial and Management Engineering at Pohang University of Science and Technology (POSTECH), Korea. He is also the director of the master's program in Management Science and leads the Actuarial Modeling, Insurance and Risk Management (AIRM) research group at POSTECH. Prior to joining the faculty of POSTECH, he was the Robb B. Kelley distinguished visiting assistant professor at Drake University in the U.S. His research explores the intersection of actuarial science, risk management, and insurance, with a particular focus on studying emerging systemic risks (cyber, AI, and climate), capital market solutions for risk transfer, and insurance operations. He has published his academic findings at leading journals in these fields, including Journal of Risk and Insurance, Insurance: Mathematics and Economics, North American Actuarial Journal and ASTIN Bulletin. His work has been recognized with several awards, including Han Dong Ho Best Paper Prize by Korea Insurance Academic Society in 2022, the IAA AFIR-ERM Research Paper Prize in 2019 and the SCOR Actuarial Prize for Asia-Pacific in 2018. He received his Ph.D. in Finance from the University of St. Gallen, Switzerland.
Gbenga is a Professor and Chair of Finance at the University of Edinburgh, where he also directs the University’s flagship FinTech research centre, the Edinburgh Centre for Financial Innovations, and the NatWest Group-funded Centre for Purpose-Driven Innovation in Banking. He is an elected Fellow of both the UK’s Academy of Social Sciences and the Royal Society of Edinburgh, Scotland’s national academy; a Fellow at Australia’s Rozetta Institute; and a Member of the Bank of England and HM Treasury's Central Bank Digital Currency Academic Advisory Group. He was also a Council Member of the World Economic Forum’s Global Future Council on the Future of Resilient Financial Systems for the 2023-2024 term, and the Deputy Scientific Director of the European Capital Markets Cooperative Research Centre. His current research sits at the intersection of the economics of financial markets and data science with applications to practice and policy. His research reports have been published by various bodies, such as the Bank for International Settlements, the UK's Financial Conduct Authority, and the UK Houses of Parliament's All Party Parliamentary Corporate Governance Group. Gbenga's research papers have been published extensively in the leading international academic journals, and have been featured in the international media, including The New York Times, The Economist, Financial Times, Forbes, and Bloomberg. He is the author (with Andros Gregoriou) of the research monograph 'Carbon Markets: Microstructure, Pricing & Policy', published in 2018 by Palgrave Macmillan, and translated into the Chinese (Mandarin) language in 2022.
Professor of Statistics and Applied Probability at University of California Santa Barbara, and co-director of the Center for Financial Mathematics and Actuarial Research
Mike Ludkovski is a Professor of Statistics and Applied Probability at University of California Santa Barbara where he co-directs the Center for Financial Mathematics and Actuarial Research. Among his research interests are renewable energy and groundwater markets, machine learning for quantitative finance, and mortality analysis. He serves on 5+ Editorial Boards and his research has been supported by NSF, DOE, ARPA-E and CAS. He holds a Ph.D. in Operations Research and Financial Engineering from Princeton University and has held visiting positions at London School of Economics and Paris Dauphine University.
Professor of Mathematics at the University of Ottawa and University College London (UCL), and Honorary Professor at the University of Cape Town (UCT) in the African Institute of Financial Markets and Risk Management
Andrea Macrina is Professor of Mathematics at the University of Ottawa and University College London (UCL), and Honorary Professor at the University of Cape Town (UCT) in the African Institute of Financial Markets and Risk Management. In 2012, Dr Macrina launched the Financial Mathematics MSc Programme at UCL, of which he was programme director for twelve years until September 2024. In 2014, he co-founded the Financial Mathematics Team Challenge (FMTC), an international research student workshop held annually at UCT. Dr Macrina is a recipient of the Fields Research Fellowship and Elliott-Yui Distinguished Visitor of The Fields Institute for Research in Mathematical Sciences.
Prof. Macrina held a Senior Lectureship followed by a Readership in the Department of Mathematics, University College London, an Adjunct Professorship at the Department of Actuarial Science of the University of Cape Town, a Lectureship in Financial Mathematics in the Department of Mathematics, King's College London, a one-year Visiting Research Associate Professorship in the Institute of Economic Research, Kyoto University, and a six-month Research Fellowship at ETH Zurich. Read more about him.
Christina Nikitopoulos is an Associate Professor at the UTS Business School with expertise in energy finance, sustainable finance, renewable energy, and commodity markets. Christina’s projects in sustainable finance address the challenges of fossil fuel divesting, green bonds screening and the effects of climate transition risk on sovereign bond markets. This research analyses dynamic portfolio construction strategies accounting for the demographic attributes of investors, such as performance tracking, risk tolerance, and management structure, as well as, divestment schedules and re-investing, to inform of optimal carbon reduction practices in equity and bond portfolios. Her research also quantifies the significance of climate transition risk factors as determinants of sovereign bond markets. Christina also leads several projects addressing energy transition and the impact of renewable energy generation on electricity price dynamics in Australia. These studies offer insights and recommendations of practical relevance to policymakers, energy providers, and consumers and inform debates regarding system’s security and reliability and optimal courses of action to facilitate energy transition. Christina has been awarded two Australian Research Council grants and many internal and industry research grants, including the UTS Strategic Research Accelerator Program 2024. Christina publishes in leading finance journals including the Journal of Banking & Finance, Energy Economics, Quantitative Finance, Journal of Commodity Markets and Energy Policy. She is a member of the Commodity and Energy Markets Association (CEMA), the Academic Female Finance Committee (AFFECT), the International Association of Energy Economics (IAEE), Financial Research Network (FIRN), and the Australian Accounting & Finance Association of Australia and New Zealand (AFAANZ).
Matteo Malavasi is a Lecturer at the UNSW School of Risk and Actuarial Studies. He holds a PhD in Actuarial Studies and Business Analytics from Macquarie University in cotutelle with University of Bergamo, Italy. His research interests are multidisciplinary, including climate change, climate risk, cyber risk, risk analytics, risk management, actuarial studies, data science, computational method for economics and finance, and applied probability.
Eric Ofosu-hene is a Senior Lecturer in Accounting and Finance at Leeds Business School, Leeds Beckett University (UK). He Chairs the Sustainability - Demography Mortality and Morbidity Working Party of the Institute and Faculty of Actuaries (UK), where he leads and drives research strategy on the impact of climate change on mortality and morbidity. He has consulted for several organisations in both the public and private sectors drawing on Enterprise Risk Management and Pensions Management expertise. His research work is at the intersection of actuarial science, finance and climate change and has published in leading journals including Energy Economics, Annals of Actuarial Science and others. Eric holds a PhD in Actuarial Science from University of Kent, a double Master of Science degrees with distinction in Actuarial Management and Actuarial Science from Heriot-Watt University and is a Qualified Accountant with the Association of Chartered Certified Accountants (UK).
Professor of Actuarial Studies and Co-Director of Emerging Risks Research Centre, Macquarie Business School, Australia
Pavel Shevchenko is a Professor in the Department of Actuarial Studies and Business Analytics and Co-Director of the Centre for Emerging Risks at Macquarie Business School. Prior to joining Macquarie University in August 2016, he worked at CSIRO Australia (1999-2016) holding the position of a Senior Principal Research Scientist (2012-2016). Since 1999, Prof Shevchenko has worked in the area of risk analytics, leading research and industry commercial projects on: modelling of operational and credit risks; longevity and mortality, retirement products; option pricing; insurance; modelling commodities and foreign exchange; and the development of relevant numerical methods and software.
He is currently associate editor of international journals (Asia-Pacific Journal of Risk and Insurance, RISKS and Journal of Operational Risk) and member of the Retirement Incomes Working Group in the Institute of Actuaries of Australia. Prof Shevchenko has published extensively in academic journals, consulted for major financial institutions, and is a frequent presenter at industry and academic conferences. His publication records include three research monographs, over 100 journal papers, and over 80 technical reports.
Adam Solomon is an Assistant Professor of Finance at the NYU Stern School of Business. His research focuses on the intersection of public finance, financial economics, and climate finance. He studies the design, provision, and regulation of (public and private) insurance and how this interacts with changing climate risk and other market frictions. He received his PhD in Economics from MIT and his undergraduate degrees in Mathematics and Economics from UNSW in Sydney, Australia.
African Institute of Financial Markets & Risk Management, University of Cape Town
Prof Tanja Tippett is an applied mathematician who lectures on the MCom in Risk Management of Financial Markets. Tanja has extensive industry experience in asset management and insurance, specialising in asset-liability matching, risk management, credit risk management and fixed income strategies.
Dr. Chi Truong is a Senior Lecturer in Actuarial Studies and Business Analytics at Macquarie Business School, Macquarie University. His research interests focus on risk quantification and management, especially disaster risk, systemic risk, and operational risk. He has extensive experience in developing dynamic factor models for risk management, and evaluating risk mitigation strategies under climate change uncertainty.
His work has been published in leading journals, including European Journal of Operational Research, Conservation Biology, Journal of Financial Stability, Applied Energy, Energy Policy, North American Actuarial Journal, Journal of Environmental Management, Annals of Operations Research, Environmental and Resource Economics, Weather and Climate Extremes, Agricultural Water Management, Canadian Journal of Agricultural Economics.
Dr. Truong serves as reviewer for numerous top-tiered journals, including European Journal of Operational Research, Energy Economics, American Journal of Agricultural Economics, Journal of Economic Dynamics and Control, International Journal of Production Economics, ASTIN Bulletin, Environmental and Resource Economics, Journal of Environmental Management.
He has secured research funding from major organizations, including the Asian Development Bank, the Commonwealth Bank of Australia, Society of Actuaries (USA), Toyota, and the National Climate Change Adaptation Research Facility. His research has been awarded with ABARE Prize and Research Excellence Publications Award at Macquarie University.
Reykjavik University
Aqib Ahmed is a PhD Candidate in Applied Mathematics and Quantitative Finance at Reykjavik University, supervised by Heidar Eyjolfsson, in Iceland. His research focuses on stochastic control, stochastic numerical methods, self-exciting jump processes, mean-field systems, and derivative pricing, with applications to climate and energy finance. His doctoral work develops stochastic models and computational methods for pricing and risk management under self-exciting dynamics, as well as stochastic control methods for heterogeneous interacting systems. He holds a master's degree in quantitative finance and Applied Mathematics from Universite Paris Cite and an engineering degree in applied mathematics from ESILV. He previously worked as a quantitative analyst in model validation at Bpifrance and in financial tools development at Lazard. He is also a teaching assistant in derivative pricing and in data mining and machine learning at Reykjavik University.
Presentation title: Pricing Derivatives under Self-Exciting Dynamics: A Finite-Difference and Transform Approach
Authors: Aqib Ahmed (presenting author) and Heidar Eyjolfsson, Reykjavik University
ABSTRACT
We study the pricing of derivatives written on accumulated marks, such as weather derivatives or aggregate loss claims, under a self-exciting marked point process. The jump intensity mean-reverts between events and rises at each event by an amount proportional to the mark, so that the state process is piecewise deterministic. The discounted pricing equation is a backward partial integro-differential equation in two spatial dimensions. We remove one dimension through an exponential transform in the accumulated mark, which diagonalises the translation operator and reduces the problem to a family of one-dimensional equations along a Bromwich contour. For Gamma-mixture mark laws, the nonlocal term is approximated by generalised Gauss-Laguerre quadrature, and the reduced equations are solved backward in time with a stable IMEX finite-difference scheme. We establish a term-by-term global error bound and validate the method against Monte Carlo benchmarks.
Hadi is a PhD Candidate in Finance at the UTS Business School Finance Discipline Group, with research and teaching interests in financial econometrics, time series analysis, interest rate modelling, financial machine learning, and quantitative trading. He has nearly ten years of experience as a financial market analyst and portfolio manager across diverse institutions. Hadi has instructed courses on derivatives pricing, capital markets fundamentals, and market microstructure analysis in both financial and educational settings. Holding a master's degree in industrial management and operations research from the University of Tehran and a bachelor's degree in mechanical engineering from Shiraz University, he is currently focused on applying statistical machine learning techniques to explore the dynamics of the green bonds market.
Dr Richard Matear is a senior climate scientist in the Climate Intelligence program of CSIRO Environment. Richard has 30 years of experience investigating how rising greenhouse gases impact our climate. His research utilises models and observations to understand the mechanisms driving climate variability and change and its implications for our future climate. Richard currently leads CSIRO's future climate and hazard activity in the Australia Climate Service. In this role, he is working to ensure our climate intelligence is used to inform Australia's first National Climate Risk Assessment and helps guide Australia’s Climate Adaptation Plans. Richard is also involved in efforts to demonstrate ocean-based negative emission technologies to remove carbon dioxide from the atmosphere and mitigate climate change.
Rade Musulin is a Principal at Finity Consulting in Sydney, Australia, where he leads the Climate Risk practice. Previously he served as the Chief Executive Officer of FBAlliance Insurance, Chief Operating Officer of Aon Benfield Analytics Asia Pacific, and Vice President Operations, Public Affairs, and Reinsurance for the Florida Farm Bureau Insurance Companies.
Rade serves as Vice-Chair of the International Actuarial Association’s Resource and Environmental Working Group and was Vice President – Casualty for the American Academy of Actuaries from 2016 – 2018. He has a long history of volunteer service, including roles with the Actuaries Institute of Australia, American Academy of Actuaries, Casualty Actuarial Society, and International Actuarial Association. He is a past Chair of the Board of the Florida Insurance Council and of the Advisory Council of the Florida Hurricane Catastrophe Fund.
His main areas of interest include how changing population demographics affect catastrophe exposure, climate change adaptation, applications of catastrophe models for disaster planning in developing countries, building code development, and community resilience. Rade has maintained close ties with academic institutions, including being a lecturer for undergraduate classes in actuarial science, risk management, and political science.
Director of the Transforming Energy Markets Research Centre, Macquarie University
Stefan Trück is a Professor of Business Analytics and Director of the Transforming Energy Markets Research Centre at Macquarie University. Previously, he has held positions at Queensland University of Technology and Karlsruhe Institute of Technology in Germany where he received a PhD in Business Engineering. Stefan’s research interests focus on risk management, financial econometrics and business analytics. His is a world leading expert in the area of electricity markets and energy finance, while his research also comprises the areas of and commodity markets, credit risk, systemic risk, emissions trading, climate change economics and international financial markets. He has published in many high impact journals. He has also worked in various consulting projects in the area of energy and financial risk for organisations such as Deutsche Bank, Deutsche Bundesbank, Australian Energy Market Commission, Saudi Electricity and Co-Generation Regulatory Authority, Maybank, CRC Limited, just to name a few. He also has received various research grants, including two Discovery Grants from the Australian Research Council (ARC) plus an ARC Future Fellowship, one of the most prestigious awards for mid-career researchers in Australia.