Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...

This repository contains the official source code and data for the research paper: "Enhancing stock price forecasting with a modular deep learning framework incorporating plug-and-play Transformer ...

A team of scientists from around the world has created the first system that can predict when and where extremely powerful solar storms, called superflares, are most likely to happen. These storms can ...

Ethiopia is undergoing rapid digital financial transformation. This project builds a forecasting system to predict Ethiopia's progress on two core dimensions of financial inclusion as defined by the ...

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s ...

AI financial forecasting has become a cornerstone in modern finance, enabling institutions to process complex datasets and predict market trends with unprecedented speed and precision. In AI in ...

Global investors are pouring unprecedented capital into environmental, social, and governance strategies, yet a key problem continues to undermine sustainable finance: ESG-based stock indices remain ...

To compete for capital, sustainability must be framed in the same quantitative language as any other business investment: return, risk and cash flow. This article bridges strategic intent and ...

Ant International, a leading global provider of digital payments and financial technology, has officially open-sourced its proprietary AI model, Falcon TST (Time-Series Transformer). The model is an ...

What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...

ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...