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21st Winter school on Mathematical Finance
22 Jan 2024 - 24 Jan 2024 • Soesterberg, Netherlands
Special Topics: Robust Risk Management, Signatures in finance
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SMLF24 — Stochastics and Machine Learning in Finance, Econometric Risk Modeling, and Other Sciences
21 Feb 2024 - 23 Feb 2024 • Al-Ain, United Arab Emirates
United Arab Emirates University, Department of Mathematical Sciences
Stochastic calculus finds so extensive applications and enables us to analyze various phenomena affected by random factors, such as asset price movements, option pricing, risk assessment, and geopolitical or climate risks. Moreover, stochastic calculus's effectiveness extends beyond finance, with its use in physics, biology, engineering, and economics, where it helps describe and analyze systems influenced by random events. Its ability to handle stochastic processes makes it an invaluable resource for comprehending and navigating uncertain environments and investigating the panel of risks that affect and impact financial markets or supply chains in commodity one. Another powerful tool for modeling risks is machine learning. Machine learning has emerged as a powerful tool for modeling complex (financial and or economic) systems and making data-driven decisions. By exploiting advanced algorithms, machine learning enables the analysis of vast datasets to identify patterns, forecast market trends, and manage risks. The capabilities of these models range from forecasting stock prices and optimizing investment portfolios to detecting fraudulent activities and assessing credit risk. Machine learning's ability to adapt to changing market conditions and handle non-linear relationships makes it indispensable in the ever-evolving world of finance but also all possible relationships and contagion on commodity markets, offering the potential to enhance decision-making, reduce errors, and unlock valuable insights from data.
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Financial mathematics, stochastic models, pricing financial derivatives, commodity markets, energy markets, global energy markets, geopolitical risk, climate change, natural resources, energy transition, volatility modeling, high-frequency data analysis, machine learning prediction models, asymmetric structures, software development with applications, complex networks, big data analytics, nonlinear time series analysis, recurrent neural networks, Stochastic calculus and machine Learning with applications to other sciences.
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BIRS Workshop — Modeling, Learning and Understanding: Modern Challenges between Financial Mathematics, Financial Technology and Financial Economics
10 Nov 2024 - 15 Nov 2024 • Banff, Alberta, Canada
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Event listing ID:
1559735 offers, as part of its business activities, a directory of upcoming scientific and technical meetings. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website. Always check with the meeting organiser before making arrangements to participate in an event!

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Last updated: 11 November 2023