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RISS 인기검색어
- 검색키워드
- 저자 : AL-HOMAIDI, Eissa A. (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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The Liquidity of Indian Firms: Empirical Evidence of 2154 Firms
AL-HOMAIDI, Eissa A.,TABASH, Mosab I.,AL-AHDAL, Waleed M.,FARHAN, Najib H.S.,KHAN, Samar H. Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.1
This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.
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Working Capital Management and Banks’ Performance: Evidence from India
Nabil Ahmed Mareai SENAN,Suhaib ANAGREH,Borhan Omar Ahmad AL-DALAIEN,Fatehi ALMUGARI,Amgad S,D,KHALED,Eissa A,AL-HOMAIDI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.6
The purpose of this study is to examine how Indian commercial banks’ performance can be improved by determinants of working capital management. This study uses both static models Generalised Moments Method (GMM) and pooled, fixed, and random-effects. The study is based on balanced panel data for 98 Indian banks from 2008 to 2018. Performance is defined by two indicators, namely, return on assets (ROA) and return on equity (ROE). While, working capital cycle, profit after tax, assets size, financial leverage, quick ratio, current ratio, return on capital employed, return on total assets, net profit margin, and monetary policy rate are used as independent variables. The results showed that net profit margin, profit after tax, monetary policy, and working capital cycle are the most important working capital factors that influence Indian commercial banks’ performance measured by (ROA). Moreover, among the working capital, the results showed that current ratio, assets size, net profit margin ratio, and return on capital employees have significant positive effects on (ROE). The article’s novelty and importance come from its recommendation that policymakers in emerging markets should motivate and enable managers and stakeholders to pay more attention to working capital by raising consumer awareness and increasing knowledge disclosure.
ScienceON
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