Stochastic Modelling of Big Data in Finance, Insurance and Energy Markets (23w2004)
Organizers
Anatoliy Swishchuk (University of Calgary)
Wenjun Jiang (University of Calgary)
Rudi Zagst (Technical University of Munich)
Description
The Banff International Research Station will host the "Stochastic Modelling of Big Data in Finance, Insurance and Energy Markets" workshop in Banff from May 19 to May 21, 2023.
Big data has now become a driver of model building and analysis in a number of areas, including finance, insurance and energy markets. Since the 2008 global financial crisis, energy markets have become more closely linked with financial markets, and energy prices have exhibited more financial characteristics. As a result, there exists a need for highly trained professionals such as data specialists who can work with financial, insurance and energy markets data and who can model those data. In addition, big data and data analytics have become an essential part of the financial services industry. Data scientists and data analysts are therefore needed by banks, insurance and energy companies to analyze the voluminous and complex data generated every day in order to effectively plan future trading and transactions and manage their risk.
The 2-Day workshop "Stochastic Modelling of Big Data In Finance, Insurance and Energy markets" will bring together academics, industry people and graduate students to share their ideas, to share their research experience, and to learn more about big data and to know how to model those data.
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).