Discover NIFO, a unique inventory valuation method based on replacement cost instead of original cost, its working mechanism, ...

The current earnings growth consensus for 2026 is no exception. While forecasts indicate roughly 12.5–15% EPS growth, several ...

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

In this third of a three-part 2026 municipal bond outlook series, Market Intelligence analyst Jeff Lipton explains how ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

While the focus will be on President Donald Trump’s choice to succeed Jerome Powell, there are many other worries for markets ...

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...

The longtime horoscope personality on how she arrives at her predictions and what the stars tell us about unrest in the year ...

Abstract: Electrical load forecasting plays a crucial role in decision-making for power systems. The integration of renewable energy sources and the occurrence of external events, such as the COVID-19 ...

Even if we could predict such important aspects of the future as the rate of inflation, GDP growth, unemployment, or any ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...