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...

We present an enterprise design pattern for managing metadata in support of financial analytics packages. The complexity of financial modeling typically requires deployment of multiple financial analytics packages, drawing data from multiple source systems. Business domain experts are typically...

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,...

This article explores the automation of accessing and analyzing financial data from Regulation A Form 1-A filings in the U.S. Securities and Exchange Commission's Electronic Data Gathering, Analysis, and Retrieval (EDGAR) database using Python. These filings provide a streamlined pathway for...

In the past year, generative AI, led by Chat GPT by Open AI and Bard, a language experiment by Google, generated tremendous attention amongst the public. Their impact on finance, law and general productivity are difficulty to articulate with words. This paper aims to strengthen the...

Correlation matrices have many applications, particularly in marketing and financial economics. The need to forecast demand for a group of products in order to realize savings by properly managing inventories requires the use of correlation matrices. In many cases, due to paucity of...