Machine learning models can be used in enterprise finance to streamline workflows, provide insights, help with decision making, and increase customer engagement. Some basic models can be implemented ...

This course introduces a range of computational problems in financial markets and illustrates how they can be addressed by using tools from machine learning. In particular ... The coursework consists ...

Massive increases in data, access to low cost computing power, and advances in machine learning have significantly changed the financial industry. This paper will explore how several machine and deep ...

Speedup is so important in financial applications, ranging from analysing huge amounts of customer data to high frequency trading. This is where quantum computing can give you the edge. Quantum ...

Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business ...

The world of finance is advancing quickly, with technology playing an increasingly significant role in decision-making processes. Among the most transformative technologies is machine learning (ML), a ...

The goal of this Research Topic is to invite innovative papers on machine learning and factor pricing with applications in finance. Examples of the types of questions we seek to answer include, but ...

In this learning event, participants will learn to converge machine learning and finance by studying diverse applications of machine learning methods in risk management. Participants will explore ...

Graph Machine Learning for Asset Pricing: Traversing the Supply Chain and Factor Zoo (with J. Sidaoui and J. Zou). (preprint) Exact Error in Matrix Completion ...