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- Debt market trends and predictors of specialization: an analysis of pakistani corporate sectorPublication . Khan, Kanwal Iqbal; Qadeer, Faisal; Mata, Mário Nuno; Dantas, Rui; Xavier Rita, João; Martins, Jessica NunesRecently, debt structure research has started focusing on the strategic perspective of financing choices, particularly to understand the reasons for debt specialization (DS). This paper examines trends of specialization over time and industry by using a comprehensive dataset on types of debt employed by the public limited companies during 2009–2018. The objective of the current study is to analyze the effect of debt market conditions by identifying significant predictors of DS. Time-series and cross-sectional results confirm the existence of DS, which is further validated by the findings of the cluster analysis. The empirical results indicate that overall, 61% of the companies solely rely on a single type of debt, mostly on short-term obligations accompanied by long-term secured and other debts. Moreover, small, mature, rated, group-affiliated, and low-leverage companies incline more towards this strategy. Credit rating, debt maturity, financial and interest coverage ratios serve as the primary determinants of the debt market that are significantly associated with the measures of DS. The results contribute to the capital structure literature by specifying that financing choice has an important implication in deciding the debt structure composition of the organizations.
- Core Predictors of Debt Specialization: A New Insight to Optimal Capital StructurePublication . Khan, Kanwal Iqbal; Qadeer, Faisal; Mata, Mário Nuno; Neto, José Chavaglia; Sabir, Qurat Ul An; Martins, Jessica Nunes; Filipe, J.A.Debt structure composition is an essential topic of discussion for the management of capital structure decisions. Researchers made extensive efforts to understand the criteria for selecting debts, specifically, to know about the reasons for debt specialization, concealed in identifying its predictors. This question is essential not only for establishing the field of debt structure but also for the financial managers to design corporate financial strategy in a way that leads to attaining an optimal debt structure. Sophisticated financial modeling is applied to identify the core predictors of debt specialization, influencing the strategic choices of optimal debt structure to address this issue. Data were collected from 419 non-financial companies listed at the Karachi Stock Exchange from 2009 to 2015. This study has validated debt specialization by showing that short-term debts maintain their position over the years and remain the most popular type of loan among Pakistani firms. Further, it provides a comprehensive view of the cross-sectional differences among the firms involved in debt specialization by applying a holistic approach. Results show that small, growing, dividend-paying companies, having high expense and risk ratios, followed the debt specialization strategy. This strategy enables firms to reduce their agency conflicts, transaction costs, information asymmetry, risk management and building up their good market reputation. Conclusively, we have identified the gross profit margin, long-term debt to asset ratio, firm size, age, asset tangibility, and long-term industry debt to asset ratio as reliable and core predictors of debt specialization for sustainable business growth.
- Impediments of green finance adoption system: linking economy and environmentPublication . Khan, Kanwal Iqbal; Mata, Mário Nuno; Moleiro Martins, José; Nasir, Dr. Adeel; Dantas, Rui; Batista, Anabela; Saghir, Mahr UmarEnvironmental deregulation has become a severe concern for public health around the world. Increased pollution and ecological degradation have diverted attention towards adopting green practices, which can be possible if the sustainable green finance system is implemented in its true spirit. But previous studies reported certain factors affecting its implementation process, particularly in developing countries. This study aims to identify and quantify the barriers to adopting a green finance system. First, it identified twenty barriers through an extensive literature review and semi-structured interviews with experts in the fields of financial management, economics, and environmental sciences. Later, eighteen factors were finalized by the consensus of panel experts, which was further used to analyze their interrelationship through Interpretive Structural Modelling (ISM). Using MICMAC analysis, these barriers were categorized based on their diving-dependence powers. Finally, the conceptual ISM model is developed that provides a clear picture of the impediments to the green finance adoption system and their flow relationship among the identified barriers at different levels. The findings suggest that global level factors: lack of pressure from international organizations and unavailability of globally acceptable green criteria are critical to the prevalence of other factors that indicate its centrality to effectively implementing the green finance system. The developed model helps in designing, implementing, and promoting eco-friendly projects. It is also recommended that an appropriate framework is required to be developed at global, country, organizational, and individual levels to deal with the barriers of the green finance adoption system.
- Testing stock market efficiency from spillover effect of Panama LeaksPublication . Nasir, Adeel; Gherghina, Ştefan Cristian; Mata, Mário Nuno; Khan, Kanwal Iqbal; Mata, Pedro; Ferrão, JoaquimOn 3 April 2016, Mossack Fonseca provided the historically most significant leak of its shareholder’s data for owning offshore companies. Shareholders include many political and influential figures around the globe, which causes a moral hazard. The study analyses the effects of Panama leak events on five stock exchanges to ensure the market efficiency and investor perception related to the Panama leaks. Event study methodology is used on five occasions associated with Panama papers, i.e., the resignation of the Prime Minister of Iceland on 5 April 2016, Jurgen Mossack’s resignation on 7 April 2016, the resignation of the Spanish Minister of Industry on 15 April 2016, the 450 personalities of Pakistan that were nominated in Panama papers on 15 April 2016, and the formation of an inquiry commission to inquire into the matter. The market efficiency of five stock exchanges was checked, i.e., the KSE 100 of Pakistan, the OMXIPI exchange of Iceland, the IBEX 35 of Spain, the New York stock exchange (NYSE), and S&P 500. The market remains efficient for most events and investor behaviour changes for one or two days around the event day (this event has concise term significant abnormal returns in all stock exchanges or concise term significant abnormal macroeconomic effects are observed in all stock exchanges).