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.
TBA soon
TBA soon