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1
Introduction
2
Outline
3
Background
4
Basis Swap
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Liois Spread
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Literature
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Arbitrage Strategy
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RollOver Risk
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Question
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Presentation
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Feedback Policy
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Independent Trials
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Learning Algorithms
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Exploration Policy
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PhaseBased Algorithm
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Performance Gap Assumption
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Numerical Result
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Linear Dynamic
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Exploration
Description:
Explore a comprehensive virtual talk series on mathematical finance and engineering in this one-hour presentation organized by the SIAM Activity Group on Financial Mathematics and Engineering. Delve into two key topics: a general framework for modeling roll-over risk in quantitative finance, presented by Mesias Alfeus from Stellenbosch University, and the exploration-exploitation trade-off in continuous-time episodic reinforcement learning with linear-convex models, discussed by Yufei Zhang from the London School of Economics. Gain insights into basis swaps, Liois spreads, arbitrage strategies, and roll-over risk, as well as learning algorithms, exploration policies, and performance gap assumptions in reinforcement learning. Hosted by Sam Cohen from the University of Oxford, this talk offers a deep dive into cutting-edge research in financial mathematics and engineering.

Quantitative Finance - Toward A General Framework for Modelling Roll-Over Risk

Society for Industrial and Applied Mathematics
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