Machine learning (ML) models transform credit decision-making, improving efficiency, predictive accuracy, and scalability. However, these innovations raise critical concerns about fairness and bias. This chapter explores the complexities of applying ML in lending. Balancing fairness with...

Machine Learning and Deep Learning are spreading at incredible pace in finance. However, the related energy consumption lacks in coherence with the sustainability requirements of banks and financial institutions. Particularly, as the energy required to run complex algorithms increases, more CO2...

Decentralized Finance (DeFi) is an emerging force transforming the global financial landscape by leveraging blockchain technology to eradicate the middlemen and assist peer-to-peer financial transactions. However, a decentralized and pseudonymous nature brings a big challenge in its regulation...

This paper provides a comprehensive review of various High-Frequency Trading (HFT) strategies and the cutting-edge technologies that underpin them. It explores the latest advancements in financial data science, machine learning, and AI, highlighting their transformative role in reshaping modern...

This paper explores the application of Proximal Policy Optimization (PPO), a deep reinforcement learning (DRL) technique, to grid trading in algorithmic trading. Using historical high-frequency price data from the silver futures market, we demonstrate how mark-to-market accounting allows smooth...

This chapter explores algorithmic trading strategies, their applications, and the role of emerging AI and machine learning technologies in optimizing trading performance. Using a mixed-methods approach, it combines quantitative survey data from 65 high-frequency trading professionals with...

High-frequency trading (HFT) has revolutionized financial markets, leveraging advancements in automation, machine learning (ML), and high-speed data transmission to achieve rapid and adaptive trading strategies. ML techniques like reinforcement learning (RL), anomaly detection, and natural...

Artificial Intelligence (AI) is playing an increasingly vital role in the field of financial statement analysis. AI methodologies, such as Deep Learning, Machine Learning, and Natural Language Processing, are being employed to enhance the analysis of financial data. This study explores the...

The integration of advanced data analytics into internal audit processes represents a transformative approach to organizational risk management. This exploration examines data analytics methodologies within audit frameworks, addressing technological innovation, operational efficiency, and...

In this study, artificial intelligence and machine learning techniques are used to comparatively analyze financial indicators affecting capital structures in the energy, information technology and machinery sectors. The unique financial structure of each sector leads to differences in capital...