This paper will give a brief overview of the work of introducing machine learning intelligence in the Kineta e-markets system, to facilitate auto-hedging, smart price engine algorithms and proprietary automatic positioning within the foreign exchange market. In this paper we will give a brief...

A large variety of information flows through a financial services firm. This information can come from a variety of sources, both external and internal. It is a significant task to reconcile the data from multiple sources and ensure that it is correct before being used within the firm.In this...

This paper provides a description of the proposed discipline of Financial Informatics. Financial Informatics is the application of Computer and Information Science to the storage, retrieval and processing of financial data. Given the ever increasing complexity of the financial marketplace,...

This paper is an interview with a Large Language Model (LLM), namely GPT-3, on the issues of climate change. The interview should give some insights into the current capabilities of these large models which are deep neural networks with generally more than 100 billion parameters. In particular,...

This paper presents a methodology which blends sensitivity analysis and fuzzy arithmetic for managing uncertainty in project financing transactions. Specifically, we adopt the perspective of the equityholders and use the average Return On Equity (ROE) to measure shareholder value creation and,...