This study examines how geographic distance to Vietnam's centralized securities regulator-the State Securities Commission (SSC)-influences firm-level stock price crash risk. In emerging markets characterized by weak governance, corruption, and political connections, distance can erode monitoring...

Background: The service life and availability of electronic components are steadily declining, whereas the operational lifespan of industrial devices that incorporate such components often extends over several decades. This disparity creates a mismatch between the durability of individual...

This study examines the impacts of Enterprise Resource Planning (ERP) systems on financing costs from the dual perspectives of risk management and relative value creation based on corporate value maximization objectives. Data were manually collected from the listed companies in China. It is...

We review the design and communication of monetary policy strategies that take into account risks and uncertainty. A key element in a robust monetary strategy is the concept of risk management, which is the weighing of key risks when setting policy. When risks to the outlook are balanced, the...

This article aims to contribute to the limited pool of solutions designed to deter or mitigate hedge fund manager fraud and reduce the associated costs to investors and other hedge fund industry stakeholders. The methodology involves presenting three hedge fund indsutry fraud cases, focusing on...

This paper examines the interrelationship between Corporate Governance (CG), Internal Control System (ICS), and Organizational Performance (OP), with a particular focus on the effectiveness of the ICS in relation to the quality of its components. Drawing on recent literature and empirical...

This study explores supervised ML-DL based approaches for enhancing credit card fraud detection and improving financial risk management systems for EU banks. This research proposes an ensemble method based on majority voting (Hard Voting Classifier) of deep learning models to detect fraud...

This study explores the critical yet often misunderstood distinction between risk and uncertainty. The research examines how knowledge and expertise can contribute to an illusion of control in uncertain environments, leading decision-makers to misclassify uncertainty as risk. This...

This paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable choice of the localizing kernel. The PDF...

In this study, we investigate the return propagation mechanism, hedging effectiveness, and portfolio performance across several common agricultural commodities, crude oil, and S&P 500 index, ranging from July 2000 to June 2024 by using a time-varying parameter vector autoregression (TVP-VAR)...

Volatility modelling is a key feature of financial risk management, portfolio optimisation, and forecasting, particularly for market indices such as the JSE Top40 Index, which serves as a benchmark for the South African stock market. This study investigates volatility modelling of the JSE Top40...

This study responds to the call by some scholars to establish a framework for ignorance. It challenges the myth that ignorance is all bad and an utterly undesirable state in organizations and proposes a new framework for the application of ignorance analytics in organizations. It includes a...

Accurate corporate credit ratings are essential for financial risk assessment; yet, traditional methodologies relying on manual evaluation and basic statistical models often fall short in dynamic economic conditions. This study investigated the potential of machine-learning (ML) algorithms as a...

The estimation of age-to-age development factors is fundamental to loss reserving, with direct implications for risk management and regulatory compliance in the auto insurance sector. The precise and robust estimation of these factors underpins the credibility of case reserves and the effective...

This paper enhances the calibration procedure for pricing spread options with liquidity risk. The novelty is the use of Chebyshev interpolation to fit the prices.Numerical experiments reveal that the calibrated parameters are close to the ones obtained by a previous work. However, the fit...

MSMEs have contributed to employment and economic growth. There are many challenges faced by MSMEs in the era of Industrial Revolution 4.0, including the use of digital marketing innovation and strategic orientation to achieve firm performance. In this research, the aim is to analyze the...

The COVID-19 pandemic has highlighted the need to revise traditional security strategies for international sporting events and has brought public health issues to the forefront as a systemic component. The study aimed to address the transformation of security management strategies at mass...

Traditionally, business risk management models have not taken into consideration household composition for the purposes of credit granting or project financing in order to manage the risk of default. In this research, an improvement in the risk management model was obtained by introducing...

Volatility forecasting for financial institutions plays a pivotal role across a wide range of domains, such as risk management, option pricing, and market making. For instance, banks can incorporate volatility forecasts into stress testing frameworks to ensure they are holding sufficient capital...

Moral hazard in health insurance arises when insured individuals are incentivized to over-utilize healthcare services, especially when they face low out-of-pocket costs. While existing literature primarily addresses moral hazard through qualitative studies, this paper introduces a quantitative...

The rapid advancement of artificial intelligence (AI) technologies, particularly generative AI and large language models (LLMs), has ushered in a new era of possibilities for the financial sector. This paper explores the integration of these cutting-edge technologies into financial sector risk...

The EU Corporate Sustainability Reporting Directive (CSRD) presents both challenges and criticisms, but it will also offer more ESG information for financial institutions' investments and exposures. Banks and investors are realizing that addressing the supervisory expectations about...

Approximately sixty percent of German goods exports are transported via sea freight. The international shipping industry is dominated by firms registered in offshore centers with little transparency. Criminals feel invited to abuse these opaque constructions for laundering their illegally...

This study examines the role of board gender diversity in shaping cor‑ porate financial decisions, particularly in terms of debt structure and risk management. Focusing on the Tehran Stock Exchange, it explores how female representation on boards influences long‑term and short‑term...

In this work, we introduce an innovative approach to managing electricity costs within Germany's evolving energy market, where dynamic tariffs are becoming increasingly normal. In line with recent German governmental policies, particularly the Energiewende (Energy Transition) and European Union...

This research determines the contribution of Corporate Social Responsibility (CSR) to reducing financial risks and, consequently, to the sustainable development of companies in different sectors of the economy and at different phases of the economic cycle (using Russia as an example). The...