Most Recent

This paper examines the relationship between social capital and trade credit among private firms headquartered in 111 developing economies. The paper shows that firms headquartered in countries with higher levels of social capital receive more trade...

Topic modeling is one of the most widely used Natural Language Processing models in business fields. In this survey, by collecting and reviewing 140 topic modeling-related articles published in 40 finance and related business journals, I document the...

Companies are increasingly valued according to sustainability criteria, so governance policies represent a credible source of information on the entity’s ability to create value for employees and the community. Intellectual capital becomes a va...

This study examines the nonlinear relationship between customer satisfaction (CS) and both the levels and growth of customer revenue (CR) at the individual level in the banking sector. Utilizing a unique data on 19,054 Swedish bank customers (2013&nd...

The most widely used bankruptcy predictor, Altman’s Z-Score, assigns a positive coefficient to asset turnover; faster firms are rated safer. Under crisis conditions, that assumption reverses. We introduce the Solvency Margin (SM), a diagnostic...

This paper investigates the relationship between green vocational education and training (VET), structural economic features, and green employment in Central and Eastern European (CEE) economies. For the purpose of the research, an initial database c...

Missing Acknowledgments [...]

This study investigates the interplay of internal audit system, cultural complexity and corruption control in Ghana’s state-owned enterprises (SOEs), examining how these factors influence anti-corruption efforts. Employing a quantitative and cr...

This study examines how credit risk affects bank valuation and whether mergers and acquisitions (M&A) moderate this effect, using a panel of 102 listed Eurozone and UK banks from 2004 to 2024. Applying MM-quantile regression, we find that credit...

This study explores the informativeness of forward-looking disclosures in managers’ speeches in U.S. quarterly earnings conference calls, focusing on time-frame specificity—whether statements provide precise temporal horizons. Using a key...

This study examines the ability of asymmetric GARCH-family models, specifically EGARCH and GJR-GARCH, to capture and forecast the volatility of major decentralized cryptocurrencies. We analyzed the returns of seven leading assets (BTC, ETH, ADA, XRP,...

This research explores whether boosting model complexity enhances the forecasting of corporate financial outlook in a multiclass credit outlook setup. Instead of viewing distress as simply a yes-or-no result, companies are divided into negative, neut...

As mobility and transport activities declined during the COVID-19 lockdowns, transactions and operations became increasingly dependent on digitalisation. This shift reduced the need for carbon-emissions-intensive fossil-fuel-based transportation. Usi...

This research responds to recent calls to explore the independence conditions under which boards’ leadership becomes economically meaningful for performance and risk in continental European governance systems. Using an unbalanced panel dataset...

This paper is an investigation into the degree to which regulatory quality and economic policy uncertainty influence loan performance in 15 Sub-Saharan African countries. The data for the study were drawn from the International Monetary Fund (IMF), W...

We employ an empirical framework for real estate securities that incorporates portfolio optimization, return distribution tail diagnostics, risk metrics, modeling of long-range dependence in return volatility, regression against benchmark indices, an...

This study empirically investigates the impact of exchange rate volatility on foreign direct investment inflows to India from 1990 to 2023, addressing a crucial dimension of macroeconomic stability in emerging economies. Recognizing that currency flu...

University endowments provide long-term support for academic activities. Universities rely on the investment returns of endowments to continuously fund these activities. To pursue better investment performance, university endowments of all sizes have...

Deploying large language models (LLMs) for domain-specific analysis raises a critical validation challenge: distinguishing genuine structural reasoning from training data memorization. We address this through temporal obfuscation testing, which strip...

Using the recently created contemporaneous and lagged R²-decomposed connectedness paradigm, this study examines the dynamics of return transmission between large South African banks and two top international banks, J.P. Morgan and BNP Paribas. The an...

This study investigates whether stock market volatility of the Indonesian Composite Index (IHSG) during presidential elections is predominantly driven by global or domestic factors. Using an event study framework covering four election cycles (2009,...

Artificial intelligence (AI) is reshaping tourism businesses by improving decision making, service personalization, operational efficiency, and data-driven management. Beyond these organizational benefits, AI may also strengthen firms’ capacity...

This Perspective is dedicated to the memory of Professor Joseph Mark (Joe) Gani (1924–2016) and Professor Christopher Charles (Chris) Heyde (1939–2008), two scholars whose intellectual leadership profoundly shaped applied probability, mat...

This study investigates the predictive performance of decomposition-based deep learning models through a focused case study on Ethereum price forecasting. Using hourly Ethereum price data from 5 September 2020 to 13 July 2025, we develop hybrid forec...

The study investigates how minority shareholding affects dividend payout policy in Thai listed companies, with firm growth and debt burden positioned as joint financial moderators. Using a moderated moderation design through Hayes’ PROCESS Macr...

Research Purpose: This study investigates the role of digital investor behavior, measured through Google Trends, alongside technical indicators such as RSI and Bollinger Bands, in forecasting volatility in the Dubai Financial Market. The aim is to de...

This study examines the relationship between managerial overconfidence and environmental, social, and governance (ESG) performance through firm-level financial policy channels in an emerging-market context. Using panel data from non-financial firms l...

This paper develops a queueing-organized framework for within-venue monitoring of BTC/USDT liquidity, signed-flow pressure, and resiliency on Binance. The model treats latent buy and sell pressure as occupancy processes and organizes three empirical...

Climate-related financial risks have become a central concern for financial institutions and regulators, particularly within the European financial system. This paper examines how climate-related risks are integrated into governance, risk assessment,...

This study investigates whether CNN-based front-end feature extraction improves the predictive performance of deep learning models applied to 1 min intraday CSI 300 index data. Three baseline sequence models, LSTM, GRU, and TCN, are compared against...

The objective of this paper was to explore how financial development affects the relationship between sustainability practices and sustainable development in Sub-Saharan Africa, where poor institutional quality and shallow financial markets may preve...

Several studies show that financial vulnerability is not determined solely by low levels of wealth, but also by behavioural and social factors that shape financial behaviour. From this perspective, the social environment and financial knowledge can i...

In this research, the primary aim is to conduct a systematic review of the thematic evolution of green finance, which remains fragmented and unevenly represented in global academic debates. The objective of this analysis is to scientifically map out...

This featured volume is dedicated to the memory of Professor Joe Gani (1924–2016) and Professor Chris Heyde (1939–2008), two outstanding scholars whose research, intellectual leadership, and mentorship had a lasting influence on applied p...

Financial reporting standards aim to increase transparency; however, the expansion in disclosure volume may also create an information overload paradox for investors, an issue that remains underexplored in the context of institutional investors. Exce...

This study examines the association between foreign exchange (FX) governance and financial stability by analysing empirical evidence from multinational entities. We analyse a 16-year panel (2009–2024) comprising 6613 firm-year observations usin...

This study examines whether investor sentiment drives volatility spillovers between socially responsible and traditional mutual funds. The rapid growth of responsible investing in emerging markets raises questions about whether higher costs deliver i...

This study examines the dynamic relationship between exchange rates and stock returns in Taiwan, focusing on asymmetry and time-varying dependence. Using monthly and daily data from 1994 to 2024, we employ ARDL, NARDL, and error correction models (EC...

The intersection of financial innovation and environmental sustainability offers important opportunities for low- and middle-income (LMI) countries. This study examines the association between FinTech investment, geopolitical-economic uncertainty, ur...

Credit risk evaluation is a key factor in financial intermediation, regulatory capital provision, and risk management in the portfolio. In this study, we compare the deep learning performance for probability-of-default (PD) estimation with a structur...

The integration of environmental, social and governance (ESG) criteria into corporate and financial decision-making has become one of the most significant transformations in today’s financial markets. Growing regulatory pressure, stakeholder ex...

This study assesses export concentration risk in four Central Asian economies (Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan) by examining trade specialization patterns in 31 mineral, chemical, textile, and metallurgical product groups over 2017...

Credit risk management is critical in developing economies where high default rates threaten financial stability. This study compares traditional logistic regression (TLR) and Bayesian logistic regression (BLR) for predicting loan default using anony...

Empirical evidence shows that the El Niño-Southern Oscillation (ENSO) influences the frequency–damage relationship for floods. However, ENSO is generally not incorporated into indemnity-trigger modeling of Flood Catastrophe Bonds (FCBs),...

Financial reporting integrity (FRI) plays a critical role in capital market efficiency, yet its determinants remain difficult to model due to nonlinear relationships, heterogeneous firm characteristics, and institutional differences across emerging m...

In the spirit of the solution of for modeling price changes in high-volatility markets for univariate commodities, here we generalize an approach to the case of modeling price changes jointly for two related commodities. Often, conditional distributi...

This study examines the transformative impact of artificial intelligence (AI) on tax auditing through a PRISMA-compliant systematic literature review and textometric analysis. By analyzing literature published between 2015 and 2025 using IRAMUTEQ, we...

Forensic accounting faces increasing complexity as reactive approaches fail to address escalating risks. This study pioneers a Proactive Risk Intelligence Framework (PRIF) for Chartered Accountant (CA) firms, targeting gaps in risk anticipation, stak...

The objective of this study was to explore the impact of exchange rate volatility on corporate financial stability in European corporations, with particular emphasis on the Eurozone and non-Eurozone. The data set of this study consisted of 80 publicl...

This study examines the association between account-level inherent risk and auditor–client disagreement. To measure disagreement directly, we introduce a novel proxy: the absolute magnitude of the gap between pre-audit and post-audit net income...