• Machine learning for financial applications: self-organising maps, hierarchical clustering and dynamic time-warping for portfolio constructive 

  Emerson, Sophie (University College Cork, 2019-12-15)

  This study investigates how modern machine learning (ML) techniques can be used to advance the field of quantitative investing. A broad literature review evaluated the common applications for ML in finance, and what ML ...
• Applications of machine learning in finance: analysis of international portfolio flows using regime-switching models 

  Ó Cinnéide, Ruairí (University College Cork, 2019)

  Recent advances in machine learning are finding commercial applications across many sectors, not least the financial industry. This thesis explores applications of machine learning in quantitative finance through two ...
• The application of an immersive design process to investigate theories for motion sickness in virtual reality data visualisations 

  Hill, Ultan (University College Cork, 2020-01-04)

  Virtual Reality (VR) technology allows a person to be taken from their current environment and into an entirely new, digital and immersive one. Because of this capability, it has been used in several fields as a data ...
• The relationship between information and the investor decision making process: an exploratory study 

  Creed, Anthony (University College Cork, 2019)

  The investment landscape continues to evolve and grow across the globe. The new investor demographic are using new technologies and information sources to invest, while the availability of financial information has ...
• An investigation of financial information and its presentation in online investing 

  Cotter, Aodán (University College Cork, 2020-01)

  Online financial investing has progressed in many ways since it first emerged as a practice two and a half decades ago. Much has changed in that time, nothing more so than the information needed to make financial decisions ...

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