Learn how financial modeling projects future performance and supports strategic planning with essential components like ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

AI fixes earnings forecasting when it expands coverage, standardizes signal extraction, and quantifies uncertainty. AI breaks forecasting when it creates false precision, synchronized expectations, ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

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 ...

The innovation at the heart of this research lies in combining Long Short-Term Memory (LSTM) networks and Recurrent Neural Networks (RNNs) to tackle financial time series data. These architectures ...

Think strategically and stress-test your financial models when making decisions to expand your franchise. In one of my previous roles, I had the opportunity to be involved with a company that was a ...

In today’s dynamic business environment, organizations are overwhelmed by vast amounts of data, yet the challenge remains in effectively leveraging this data to inform strategic decision-making. A ...

Projecting the three statements in a financial model is crucial for several reasons, such as preparing a comprehensive financial forecast for a company to assess expected financial performance, ...

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...

Oracle may have joined the artificial intelligence party a little late, but it has nonetheless managed to position itself as a major player. We can see that the company's AI plans are going forward, ...