2015
DOI: 10.1080/1540496x.2016.1110460
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The Dynamic Speed of Cash-Holding Adjustment in a Transition Economy: A New Approach and Evidence

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Cited by 6 publications
(11 citation statements)
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“…Data have heterogeneity firms and long-time observation. The estimator of dynamic panel data has two essential advantages: controlling for potential endogeneity problems and addressing the dynamic nature of cash holding (Chang et al, 2015). Table 1 shows that cash & cash equivalent/total assets in the sample firms have an average of 0.0889, which means that the average cash of the firm is 8.89% of the total assets.…”
Section: Methodsmentioning
confidence: 99%
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“…Data have heterogeneity firms and long-time observation. The estimator of dynamic panel data has two essential advantages: controlling for potential endogeneity problems and addressing the dynamic nature of cash holding (Chang et al, 2015). Table 1 shows that cash & cash equivalent/total assets in the sample firms have an average of 0.0889, which means that the average cash of the firm is 8.89% of the total assets.…”
Section: Methodsmentioning
confidence: 99%
“…The estimated speed of adjustment to optimal cash is 9.888%. The findings indicate that the speed of adjustment to optimal cash in Indonesia is quite low when compared to other countries, such as China, Belgium that ranges from 20% to 40% (Chang et al, 2015;Jiang & Lie, 2015;Anderson & Hamadi, 2016). The dynamic estimation model used fixed-effect cross-section specifications shows in Table 2.…”
Section: Methodsmentioning
confidence: 99%
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“…The larger the standard deviation of cash, the slower the speed of optimal cash adjustment. The smaller the standard deviation of cash, the faster the speed of optimal cash adjustment (Jiang & Lie, 2015;Chang, Deng, & Wang, The optimal cash holdings speed of adjustment and firm value: An empirical study in Indonesia…”
Section: Method Data and Analysismentioning
confidence: 99%
“…In addition, the cash holding ratio (cash + short term investment of total asset) of non-financial public companies in Indonesia from 2000 to 2011 ranges from 9.8-13.1 percent (Hendrawati, 2015;Da Cruz, 2015). The upward trend of cash holding in Indonesia and other countries resonates motivational theory of holding cash or Keynesian (Opler et al, 1999;Chang, Deng, & Wang, 2015;Shipe, 2015;Orlova & Rao, 2018).…”
Section: Abstraksimentioning
confidence: 98%