Zahid Sarwar
School of Business Administration, Dongbei University of Finance and Economics, Dalian, China

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The impact of corporate governance on the cost of equity Syed Tauseef Ali; Zhen Yang; Zahid Sarwar; Farman Ali
Asian Journal of Accounting Research Volume 4 Issue 2
Publisher : Emerald Publishing Limited

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1108/AJAR-08-2019-0062

Abstract

In view of organizational inertia, with the occurrence of a major event, though resource rigidity minimizes, however simultaneously, it increases process rigidity, which creates difficulties in motivating managers and dealing with the agency problem. Therefore, keeping in mind the high demand created by the China–Pakistan Economic Corridor and Naya Pakistan Housing Scheme in the cement sector of Pakistan, the purpose of this paper is to investigate the impact of corporate governance (CG) on the cost of equity (COE) in the cement sector, to deal with the problems surging during and after the completion of these projects and highlight further opportunities for the cement sector of Pakistan.CG is a qualitative concept therefore, eight proxies have been used to measure it along with the two control variables. This study uses balance panel data of six years from 2012 to 2017, collected from 18 companies of the cement sector of Pakistan. Descriptive statistics have been used to describe the data, correlation matrix to see the nature of the relationship, and Pooled OLS as the estimation technique, while to analyze the data a statistical package 13 has been used. To measure the COE, the Capital Asset Pricing Model (CAPM) has been used.Regression results suggest that block ownership, insider ownership and the board size are insignificant, while CEO tenure is negatively and significantly associated with the COE. Non-executive directors, independence and CEO duality are insignificant; however, diversity is positively and significantly associated with the COE. Moreover, the mean value of the COE is 8.22 percent for the cement sector, while the coefficient of determination of the model under study is 74 percent.This paper is based on the data from the cement sector of Pakistan only. Therefore, this is the reason that these results cannot be generalized on the whole economy of Pakistan.This study helps in finding out the COE value specific to the cement sector, which will help this sector to evaluate the capital budgeting decision more precisely and accurately than before. Moreover, the association of diversity as positive, while independence as negative with the COE highlights a room for improvement in the implementation of CG codes by SECP. This study also helps to mitigate the impact of inertia, the after-effects of high demand, and managing the agency problem in the cement sector.This is the first study using CG data collected just after the revised promulgation of CG codes in 2012, along with a wide range of eight proxies measuring CG and its impact on the COE in the cement sector.
Determinants of non-performing loans in the banking sector in developing state Muhammad Asif Khan; Asima Siddique; Zahid Sarwar
Asian Journal of Accounting Research Volume 5 Issue 1
Publisher : Emerald Publishing Limited

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1108/AJAR-10-2019-0080

Abstract

The size of non-performing loans (NPLs) plays a key role in the stability of the banking sector of a country. The factors that explain the NPLs contain very important information for banks. Studies in this regard with respect to developing states such as Pakistan have received little attention. This study aimed to scrutinize the determinants of NPLs observing a case of the banking sector in Pakistan over the period from 2005 to 2017.The sample consists of the banking sector (i.e., commercial banks) listed in Pakistan Stock Exchange over the period of 2005–2017. The banking factors, including profitability, operating efficiency, capital adequacy and income diversification, were evaluated. The estimations were done by regression modeling using random and fixed effects through STATA software.Results show that the operating efficiency and profitability indicators have a negative association with NPLs but were statistically significant, while capital adequacy and income diversification have a negative association with NPLs but were statistically insignificant.The present study has considered limited banking indicators as determinants of NPLs and was limited to a specific time period from 2005 to 2017.The study is an attempt to investigate various banking factors that affect the NPLs with respect to developing economies such as Pakistan.