Anticipating that a more comprehensive study might produce a definitive answer to the question of whether the machine learning approach really does have predicative power, in this paper we conduct an analysis of the ability of a wide variety of nonlinear models to forecast market direction in...

In this study, we present an empirical comparison of statistical models and machine learning models for daily electricity price forecasting in the New Zealand electricity market. We demonstrate the effectiveness of GARCH and SV models and their t-distribution variants when paired with feature...

Key Audit Matters (KAMs) are informative for future accounting outcomes. Using FINBERT, a deep learning model for natural language processing that allows human-like text comprehension, we show that goodwill-related KAMs are predictive for firms' future impairments. In fact, we find that using...

This report investigates the use of artificial intelligence and machine learning (AI-ML) techniques used by the Italian financial intermediaries to assess creditworthiness. The analysis aims to evaluate how financial intermediaries use AI-ML techniques for customer selection and management...

Not all errors from models predicting asset returns are equal in terms of impact on the efficiency of the algorithm: a small error could trigger poor investment decisions while a significant error has no financial consequences. This economic asymmetry, critical for assessing the performance of...

In this study, it is aimed to compare the performances of the methods by predicting the movement directions of stock market indexes in developed countries by employing machine learning methods (MLMs) and determining the best estimation method. For this purpose, the movement directions of indexes...

In this project we try to predict bad loans with Machine Learning models. We approach the problem as a Supervised Classification problem. We conduct a preprocessing step, and deal with imbalance. As a first step we apply various Machine Learning models and identify the best ones. With the...

This study reviews the role of artificial intelligence (AI) and ChatGPT or Chatbot in the Fintech, and highlights opportunities, challenges, and research agendas. A bibliometric analysis of 154 articles shows that research on AI and chatbots in the fintech sector is lacking. AI and chatbots have...

The purpose of this study is to explore the perceptions of subject matter experts (SME) about the use of artificial intelligence for stock trading. AI is already used to analyze large and various amounts of data to support decision-making of future predictions for many organizations today....

Superstar firms, the few firms that outperform the rest significantly in profitability and/or productivity, are increasingly important for driving industry growth or export patterns. It is thus critical to understanding the vital factors contributing to their success. However, it is also...