FM - Economics & Finance

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Browsing FM - Economics & Finance by Author "Ejaz, Abdullah"

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    Analysing sustainability based relationship between debt and growth in South-Asian economies and their impact on textile industry: a case for developing economies
    (2022) Gillani, Durdana Qaiser; Birau, Ramona; Naeem, Muhhamad Zahid; Anghel, Lucian Claudiu; Spulbar, Cristi; Ninulescu, Petre Valeriu; Spulbar, Andrei Cristian; Ejaz, Abdullah
    This research aims to quantify the linear and non-linear relationship between debt and economic growth in selected developing economies. Based on theoretical arguments and annual data considerations in modelling the debt and growth as a complex relationship across countries, our panel methodology is based on the fixed effect technique. Our core finding indicates that government debt lowers the GDP in selected developing economies. We also find that the urban population is a key factor that improves economic growth. Moreover, government expenditures on health and industrialization are helpful to enhance the growth of the economies. Our study also suggests increased exports, industrial development, and investment in education for growth. We also propose certain supporting strategies to reduce the adverse effects of debt-growth relation in the considered economies. Given developing economies’ status, the prerequisite for broad, dynamic and rule-based debt policy is of paramount importance, ensuring the factual choices among numerous possibilities, addressing financial constraints and ensuring intergenerational welfare impact.
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    Investigating financial opportunities for traditional clothing industry in South Asia based on an analysis of internationally diversified portfolio using ARCH and GARCH models
    (The National Research-Development Institute for Textile and Leather (INCDTP) , 2022) Zulfiqar, Imran Ali; Birău, Ramona; Spulbar, Cristi; Anghel, Lucian Claudiu; Ejaz, Abdullah; Criveanu, Radu Cătălin
    This paper investigates the benefits of forming an internationally diversified portfolio in the stock markets of Bangladesh,India and Pakistan using the stock market indices data from April 2013 to March 2020. The portfolio comprises of three stock market indices from Pakistan, India and Bangladesh. The goal is to identify financial opportunities for traditional clothing industry in South Asia. Bangladesh, India and Pakistan are neighbouring countries in South Asia. Tradition, culture and specific ethnic elements influence traditional clothing in the case of the selected country cluster consisting of Bangladesh, India and Pakistan. Our empirical results indicate that internationally diversified portfolio does not reduce change in conditional variance is followed by large changes in conditional variance whereas small change in conditional variance is followed by small changes in conditional variance.