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RISS 인기검색어
- 검색키워드
- 저자 : Amad Nabi AGHA (검색결과 3 건)
- 무료
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Factors Affecting Job Performance: A Case Study of Academic Staff in Pakistan
Fayaz Hussain TUNIO,Amad Nabi AGHA,Faryal SALMAN,Imran ULLAH,Asad NISAR 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5
This study’s fundamental purpose is to examine the personality factors of business school faculty members in job satisfaction and job performance. Results show the significant impact of multicultural faculty members’ job performance in a diverse environment in the Business schools of Karachi. The data is collected through the multi questionnaires from the various teaching, non-teaching staff, and students of private business schools of Karachi in Pakistan. The data has been tested through the Jamovi-by-medmod, and the regression model is to scrutinize and find the effect dependent variables to mediation. Simultaneously, results are calculated by mediation estimates and path estimates through the medmod technic and regression test from data. It provides a comprehensive insight into various factors such as personality traits, self-efficiency, Psychological diversity climate, self-esteem, and human resource management practices. These are the primary evaluated factors that affect multicultural faculty members’ job satisfaction and job performance. However, results show a positive relationship between diversity climate and job performance, which mediates by job satisfaction. Similarly, personality traits show a positive relationship with job performance that mediates by job satisfaction. Correspondingly, self-esteem spectacles are a positive inter-relationship with job performance which is mediated by job satisfaction.
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Financial Distress Prediction Using Adaboost and Bagging in Pakistan Stock Exchange
Fayaz Hussain TUNIO,Yi DING,Amad Nabi AGHA,Kinza AGHA,Hafeez Ur Rehman Zubair PANHWAR 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.1
Default has become an extreme concern in the current world due to the financial crisis. The previous prediction of companies’ bankruptcy exhibits evidence of decision assistance for financial and regulatory bodies. Notwithstanding numerous advanced approaches, this area of study is not outmoded and requires additional research. The purpose of this research is to find the best classifier to detect a company’s default risk and bankruptcy. This study used secondary data from the Pakistan Stock Exchange (PSX) and it is time-series data to examine the impact on the determinants. This research examined several different classifiers as per their competence to properly categorize default and non-default Pakistani companies listed on the PSX. Additionally, PSX has remained consistent for some years in terms of growth and has provided benefits to its stockholders. This paper utilizes machine learning techniques to predict financial distress in companies listed on the PSX. Our results indicate that most multi-stage mixture of classifiers provided noteworthy developments over the individual classifiers. This means that firms will have to work on the financial variables such as liquidity and profitability to not fall into the category of liquidation. Moreover, Adaptive Boosting (Adaboost) provides a significant boost in the performance of each classifier.
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The Impact of Capital Account Openness on Income Inequality: Empirical Evidence from Asia
Imran ULLAH,Fayaz Hussain TUNIO,Zia ULLLAH,Agha Amad NABI 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.2
The relationship between income inequality and capital account openness is empirically investigated in this study, where macroeconomic variables have opposing effects. Panel data used in the study from the KAOPEN Index and World Bank consists of 28 Asian countries and has been examined; it contains annual observations from 1970 to 2018. The data is examined using a random-effect model based on GMM estimates. Income inequality and capital account openness are positively and significantly related, according to our findings. Overall, the findings imply that increasing income gaps reduced capital investment in nations with large discrepancies. The growing economic discrepancy is being caused by the rich’s increasing income share at the expense of the poor. In Asia, inward capital account openness exacerbates income inequality, while outward capital account openness exacerbates it. As a result, income inequality slows economic growth, leading to inflation, unemployment, and increased government spending in several Asian countries. Our control factors, GDP, and other secondary school enrolments, all had a statistically significant negative relationship with income inequality. Income disparity has a positive and statistically significant association with government spending, inflation, population, trade openness, and unemployment. Income disparity has a negative association with capital account openness, gross domestic product, and secondary school enrollment.
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