Businesses increasingly rely on algorithmic systems and machine learning models to make operational decisions about customers, employees, and counterparties. These "algorithmic operations" can improve efficiency but also concentrate liability in a small number of technically complex, drifting...

Cryptocurrencies play a central role in modern financial markets; however, geopolitical tensions and environmental concerns raise critical questions about their stability and informational efficiency. This study distinguishes between green cryptocurrencies (GCs), based on low-energy validation...

Ecological sustainability is one of the key dimensions of sustainable development in any economy. Developing economies exhibit high-risk levels in terms of political stability and corruption, thereby inhibiting them from successfully adopting techniques for ecological sustainability. A framework...

This study investigates credit unions' expansion into non-core lending and its association with risk and financial resilience. Using US credit union call report data from 1994 to 2024, we measure the share of purchased loans, lease receivables, and loans held for sale in non-core lending. We...

This study models the auditor-client relationship as a strategic game shaped by two-sided information asymmetry and examines how this structure influences key audit outcomes, namely audit delay and audit fees, in Türkiye. Using a game-theoretic framework complemented by empirical analysis, the...

Banks often assume that higher credit limits increase customer default risk because greater exposure appears to imply greater vulnerability. This reasoning, however, conflates correlation with causation. Whether increasing a customer's credit limit truly raises the likelihood of default remains...

This research evaluates the extent to which firms' "green" bond disclosures create and convey a meaningful representation of their Environmental, Social, and Governance ("ESG") commitments. Additionally, this research explores how investors distinguish between disclosures that represent genuine...

Financial risk early warning systems are essential for proactive risk management in volatile markets, particularly for emerging economies such as China. This study develops a hybrid deep learning model integrating Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Gated...

As China's population ages and the sustainability of the public pension system is at risk, personal savings become crucial. As such, the quality of financial planning for retirement (FPR) has been recognized as a key to safeguarding financial well-being during retirement. This study examines the...

The opportunistic use of insider information generates adverse effects on capital markets, making its mitigation through robust corporate governance practices. This research analyzes the corporate governance mechanisms that reduce the signs of opportunistic insider trading, grounded in the...