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International Journal of Financial Studies, Volume 13, Issue 4

December 2025 - 66 articles

Cover Story: Accurately forecasting stock price volatility is a critical yet challenging task due to the nonlinear and dynamic nature of financial markets. This study introduces a robust stacking ensemble framework that integrates the strengths of diverse algorithms, including statistical (ARIMA), machine learning (Random Forest), and deep learning (LSTM, GRU, Transformer) models. By employing an XGBoost meta-learner to synthesize these distinct predictions, the proposed model significantly outperforms individual baselines, achieving R2 scores between 0.9735 and 0.9905 across major financial indices. This research demonstrates the efficacy of heterogeneous ensemble learning in navigating market complexities, offering a powerful tool for enhanced financial decision-making. View this paper
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Articles (66)

  • Article
  • Open Access

Evaluating Green Finance: Investment Patterns and Environmental Outcomes

  • Lala Rukh,
  • Shakir Ullah,
  • Ijaz Sanober,
  • Umar Hayat and
  • Sangeen Khan

This study aims to investigate the impact of green finance on corporate sector investments and their associated environmental outcomes. The authors collected cross-sectional survey data with a sample of four hundred firms selected from the five green...

  • Article
  • Open Access
75 Views
22 Pages

Does the Change in Financial Statement Format Influence Stock Price Crash Risk?

  • Qinqin Wu,
  • Manjing Xiao,
  • Wenli Zuo,
  • Lingling Dai and
  • Ping Cheng

By employing the 2017 reform of China’s financial statement presentation as an exogenous shock, we evaluate how the change shapes the likelihood of stock price crashes. Our analysis indicates that firms affected by the reform exhibit notably hi...

  • Article
  • Open Access
219 Views
21 Pages

Customer segmentation is essential in financial services for designing targeted interventions, managing dormant portfolios, and supporting marketing re-engagement strategies. Traditional approaches such as Recency–Frequency–Monetary (RFM)...

  • Article
  • Open Access
96 Views
23 Pages

This study investigates risk contagion and dependence structures between U.S. and Chinese technology-related stock markets, focusing on the electronics and semiconductor sectors. We employ DCC-GARCH models to capture time-varying correlations and cop...

  • Article
  • Open Access
147 Views
17 Pages

In recent years, the impacts of the new scientific and technological revolution on the industrial system and production modes have begun to emerge. Digital transformation is gradually being integrated into the production behaviors of manufacturing en...

  • Article
  • Open Access
139 Views
19 Pages

Convertible bond financing has gained significant traction in China’s capital market, yet it poses financial risks, particularly for highly leveraged firms. This study investigates how corporate financial traits influence the decision to issue...

  • Article
  • Open Access
247 Views
22 Pages

In typical executive compensation structures, higher corporate ranks are associated with greater pay. However, the reform of state-owned enterprises (SOEs) in China introduced strict salary caps for top executives, while lower-tier managers continued...

  • Article
  • Open Access
209 Views
18 Pages

Leverage or Bias? The Debt Behavior of High-Income Consumers

  • Sergio Da Silva,
  • Ana Luize Bertoncini,
  • Marianne Zwilling Stampe and
  • Raul Matsushita

This paper asks whether debt among affluent consumers reflects rational leverage, comparable to firms, or the influence of cognitive biases. Using survey data on Brazilian bank clients, we combine logistic regressions with a finite-mixture-inspired,...

  • Article
  • Open Access
265 Views
22 Pages

In recent years, the financial sustainability and survival of microfinance institutions (MFIs) have been seriously threatened by factors such as the reduction in donations, cooperation funds and international aid, and increased competition from comme...

  • Article
  • Open Access
288 Views
31 Pages

This study provides empirical evidence of tax-induced profit-shifting by multinational corporations (MNCs) operating in Morocco, an underexplored developing country context characterized by notable tax arbitrage potential. Using a micro-level panel d...

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Int. J. Financial Stud. - ISSN 2227-7072