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JournalISSN: 2227-7072

International Journal of Financial Studies 

Multidisciplinary Digital Publishing Institute
About: International Journal of Financial Studies is an academic journal published by Multidisciplinary Digital Publishing Institute. The journal publishes majorly in the area(s): Computer science & Stock market. It has an ISSN identifier of 2227-7072. It is also open access. Over the lifetime, 613 publications have been published receiving 5470 citations. The journal is also known as: IJFS.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: A concise review of stock markets and taxonomy of stock market prediction methods is provided, then some of the research achievements in stock analysis and prediction are focused on and some challenges and research opportunities are presented.
Abstract: Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them. Predicting stock prices is a challenging problem in itself because of the number of variables which are involved. In the short term, the market behaves like a voting machine but in the longer term, it acts like a weighing machine and hence there is scope for predicting the market movements for a longer timeframe. Application of machine learning techniques and other algorithms for stock price analysis and forecasting is an area that shows great promise. In this paper, we first provide a concise review of stock markets and taxonomy of stock market prediction methods. We then focus on some of the research achievements in stock analysis and prediction. We discuss technical, fundamental, short- and long-term approaches used for stock analysis. Finally, we present some challenges and research opportunities in this field.

206 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the potential effects of corporate governance (CG) elements on corporate social responsibility (CSR) disclosure and found that overall CSR reporting by Pakistani companies are rather moderate however, the assortments of CSR items are really impressive.
Abstract: The purpose of this study is to investigate the potential effects of corporate governance (CG) elements on corporate social responsibility (CSR) disclosure. The annual reports of companies for the year 2007–2011 are examined to analyze the relationship between CG and CSR reporting. It considers the elements of CG such as board size, independent directors, foreign nationalities and women representation in the board, ownership concentration, institutional ownership, firm size and profitability. The multiple regression technique is used to measure the impact of CG elements on companies’ CSR reporting. The results of the study demonstrate that overall CSR reporting by Pakistani companies are rather moderate however, the assortments of CSR items are really impressive. The study found positive and significant impact from board size, institutions ownership, ownership concentration and firm size on CSR reporting. The results also display contrary relationships between the women and foreign director’s representation in the board and CSR reporting. This study suggests that organizations should audit their CG activities related to CSR in order to prove themselves good corporate citizens to all stakeholders.

137 citations

Journal ArticleDOI
TL;DR: It is recommended that financial institutions and non-financial institutions and governments across the world adopt and scale up the use of AI tools and applications as they present benefits in the quest to ensure that the vulnerable groups of people who are not financially active do participate in the formal financial market with minimum challenges and maximum benefits.
Abstract: This study sought to investigate the impact of AI on digital financial inclusion. Digital financial inclusion is becoming central in the debate on how to ensure that people who are at the lower levels of the pyramid become financially active. Fintech companies are using AI and its various applications to ensure that the goal of digital financial inclusion is realized that is to ensure that low-income earners, the poor, women, youths, small businesses participate in the mainstream financial market. This study used conceptual and documentary analysis of peer-reviewed journals, reports and other authoritative documents on AI and digital financial inclusion to assess the impact of AI on digital financial inclusion. The present study discovered that AI has a strong influence on digital financial inclusion in areas related to risk detection, measurement and management, addressing the problem of information asymmetry, availing customer support and helpdesk through chatbots and fraud detection and cybersecurity. Therefore, it is recommended that financial institutions and non-financial institutions and governments across the world adopt and scale up the use of AI tools and applications as they present benefits in the quest to ensure that the vulnerable groups of people who are not financially active do participate in the formal financial market with minimum challenges and maximum benefits.

112 citations

Journal ArticleDOI
Emine Öner Kaya1
TL;DR: In this article, the authors investigated the firm-specific factors affecting the profitability of non-life insurance companies operating in Turkey and found that the most important factors are the size of a company, age of the company, loss ratio, current ratio, and premium growth rate.
Abstract: This study investigates the firm-specific factors affecting the profitability of non-life insurance companies operating in Turkey. For this purpose, data of 24 non-life insurance companies operating in Turkey from the period 2006–2013 were brought together to obtain 192 observed panel data sets. In this study, profitability is measured by two different variables: technical profitability ratio and sales profitability ratio. According to the empirical results, the firm-specific factors affecting the profitability of Turkish non-life insurance companies are the size of the company, age of the company, loss ratio, current ratio, and premium growth rate.

74 citations

Journal ArticleDOI
TL;DR: In this article, the authors explored the characteristics of dynamic capabilities and their role in contribution to the firm's ultimate success, where the application of the Structural Equation Modelling (SEM) approach revealed a statistically significant influence of both the industry's characteristics (represented by Porter's five forces framework) and dynamic capabilities (based on Teece's theory).
Abstract: The aim of this research was to explore one of the most intriguing dimensions of every firm’s business—its performance. Aside from analysing the influence of industry’s characteristics on the firm’s performance, the authors addressed the characteristics of dynamic capabilities and their role in contribution to the firm’s ultimate success. The analysis was conducted on a sample of 118 small Croatian manufacturing companies. The application of the Structural Equation Modelling (SEM) approach revealed a statistically significant influence of both the industry’s characteristics (represented by Porter’s five forces framework) and dynamic capabilities (based on Teece’s theory) on the firm’s performance, where the influence of dynamic capabilities is proven to be larger than that of the industry.

71 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202381
2022122
202161
202079
201966
201896