Search results
1 – 5 of 5Rizwan Ali, Jin Xu, Mushahid Hussain Baig, Hafiz Saif Ur Rehman, Muhammad Waqas Aslam and Kaleem Ullah Qasim
This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates…
Abstract
Purpose
This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.
Design/methodology/approach
In this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.
Findings
This study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.
Originality/value
According to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.
Details
Keywords
Ali Amin, Rizwan Ali, Ramiz Ur Rehman and Collins G. Ntim
This study aims to examine the impact of chief executive officers’ (CEOs’) personal characteristics on firms’ risk taking and the moderating role of family ownership on this…
Abstract
Purpose
This study aims to examine the impact of chief executive officers’ (CEOs’) personal characteristics on firms’ risk taking and the moderating role of family ownership on this relationship.
Design/methodology/approach
This study used 2,647 firm-year observations of non-financial firms listed on Pakistan Stock Exchange over the period 2013–2021. To test the hypotheses, the authors used ordinary least squares regression and, to resolve the possible endogeneity problem, the authors used system generalized method of moments technique.
Findings
Drawing insights first from upper echelons theory, the authors report that CEOs with business, economics, finance and/or management educational background and female CEOs reduce firms’ risk-taking behaviour. Further, using insights from social and organizational identity theoretical perspectives, the results indicate that due to strong family affiliation and organizational identity, family owners exhibit risk aversion behaviour and moderate this relationship.
Originality/value
This study provides novel evidence of risk averse behaviour of CEOs with business, economics, finance and/or management educational background and female CEOs along with moderating impact of family ownership on this relationship in an emerging economy. Overall, the results extend empirical support for upper echelons and social identity theories in an emerging market context.
Details
Keywords
Muhammad Akram Naseem, Rizwan Ali and Ramiz Ur Rehman
This study aims to investigate the mediating role of corporate social responsibility (CSR) in the link between board independence, board diversity and dividend payouts…
Abstract
Purpose
This study aims to investigate the mediating role of corporate social responsibility (CSR) in the link between board independence, board diversity and dividend payouts underpinning the agency theory perspective. As boards are ultimately responsible for decision-making, it includes CSR, dividend payouts and other strategic decisions.
Design/methodology/approach
Board independence and board diversity (female director, female independent director) are used as explanatory variables, CSR scores as a mediator and dividend payout explained variables. The relevant data were collected from 159 listed firms of the Pakistan Stock Exchange (PSX) from 2013 to 2019, consisting of 1,113 year-firm observations. For empirical estimation, the study used the Tobit regression analysis and Sobel test to check the significance of the mediation to confirm the hypothesis.
Findings
The results confirm that independence and diversity on the board are positively related to dividend payouts. Further, CSR partially mediates the link between independence and diversity on board-dividend payouts, which confirms the argument that firms with involvement in CSR practices are also associated with dividend payouts.
Research limitations/implications
To the best of the authors’ knowledge, this study is novel to address whether CSR mediates the link of the board’s independence and diversity and dividend payouts in Pakistan’s setting. The results of this study have restricted generalizability due to the specific nature of the sample characteristics; future researchers can extend the research scope.
Practical implications
Theoretically practically, the results imply that CSR spending also enhances the distribution to firms' shareholders, thus becoming attractive to investors. This study enriches the literature on board attributes-dividend policy nexus, which strengthens through CSR practices and is relevant to practice in line with sustainable development in an emerging context.
Originality/value
CSR practices are an understudied but significant factor that links stakeholders' beliefs about firms' decision-making strategies, enhancing dividend announcements. In doing so, this study's findings contribute to the literature, regulators, shareholders and investor at various levels.
Details
Keywords
Muneer Ahmad, Muhammad Bilal Zafar and Abida Perveen
This study aims to investigate the comparative importance of factors influencing the customer shift behavior from conventional to Islamic banking for consumer finance in Pakistan.
Abstract
Purpose
This study aims to investigate the comparative importance of factors influencing the customer shift behavior from conventional to Islamic banking for consumer finance in Pakistan.
Design/methodology/approach
First, a comprehensive analysis of the existing literature was conducted to identify a broad range of factors related to customer shift behavior. Through an expert sampling, 14 essential factors were chosen for further investigation. Second, a questionnaire was developed using the analytical hierarchy process (AHP). This questionnaire was then distributed among customers who had previously been using conventional banking services but had made a shift toward Islamic banking. The purpose of this questionnaire was to gather data and insights regarding their motivations and decision-making process behind the shift, and a sample 215 customers are taken in the study.
Findings
The results of AHP depicts that the religiosity is a most important factor influencing customers to shift from conventional to Islamic banking, and the second most important factor is pricing. The other subsequent important factors are reputation of the bank, marketing and promotion, service quality, behavior of banks staff, Shariah compliance, management, convenience, fastness and charges/fees. Whereas documentation, ambiance and recommendation are found least important factors to patronize Islamic banking.
Practical implications
The study recommends Islamic banks to create awareness, concentrating on religious factor to have a greater impact on growth of Islamic banking and shrinking of conventional banking. Further, it suggests Islamic banks to apply Shariah-recommended approach of doing business, to help community in best possible way and to launch differentiated marketing techniques to attract customers. It also proposes regulatory authorities to provide facilitation to Islamic banking business by providing level playing field similar to conventional banking, tax equality and conversion of public financing from conventional banking to Islamic banking.
Originality/value
The originality of this study lies in its comprehensive analysis of factors influencing consumer shift behavior from conventional to Islamic banking in the context of consumer finance in Pakistan. By using the AHP, the study provides a structured approach to understanding the relative importance of these factors. This is the uniqueness of the paper that it applies the AHP for the analysis. Furthermore, the study offers practical implications for Islamic banks and regulatory authorities to effectively address and capitalize on this consumer shift trend.
Details
Keywords
Misal Ijaz, Abeera Zarrar and Farah Naz
The purpose of this study is to evaluate the synergy of corporate governance (CG) with intellectual capital (IC) and to assess the moderating effect of profitability indicator on…
Abstract
Purpose
The purpose of this study is to evaluate the synergy of corporate governance (CG) with intellectual capital (IC) and to assess the moderating effect of profitability indicator on the aforementioned synergy using agency theory, resource-based view theory and theory of financial ratios as conceptual frameworks.
Design/methodology/approach
The sample includes 72 companies with a six-year data set drawn from the KSE 100 Index companies of Pakistan. In addition, the study adopts Pulic’s model to compute the efficiency of IC. The research uses fixed-effect panel regression for analysis and two-stage least squares regression (2SLS) to address endogeneity issues in the estimation process.
Findings
The results showcased that chief executive officer duality possesses negligible impact on IC efficiency (ICE), while independent directors, audit committees and board size tend to attain a strong association with IC. Moreover, it postulates that the moderation of return on equity strengthens the path between all governance components and ICE significantly.
Originality/value
The research uses a 2SLS regression analysis to explore how CG practices take hold on the effectiveness of IC in Pakistan while taking into account the moderating impact of profitability. The findings add to the body of knowledge on the value that strong governance practices have on businesses and society.
Details