2014
DOI: 10.19026/rjaset.8.1239
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Do the Firm-level Variables and Human Capital Impact Capital Structure Decisions? A Study of Non-financial Firms in Pakistan

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Cited by 2 publications
(3 citation statements)
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“…Relatively low debt at high company liquidity has results that are in line with the pecking order theory (Chasanah & Satrio, 2017). This study has results that are in line with Cahyani & Handayani (2017), Sheikh & Wang (2011), Jahanzeb et al(2014, Tarus et al(2014), Liang et al(2014), andHardanti &Gunawan (2010) which explain the correlation between liquidity and capital structure having a significant negative direction.…”
Section: The Effect Of Liquidity On Capital Structuresupporting
confidence: 88%
See 1 more Smart Citation
“…Relatively low debt at high company liquidity has results that are in line with the pecking order theory (Chasanah & Satrio, 2017). This study has results that are in line with Cahyani & Handayani (2017), Sheikh & Wang (2011), Jahanzeb et al(2014, Tarus et al(2014), Liang et al(2014), andHardanti &Gunawan (2010) which explain the correlation between liquidity and capital structure having a significant negative direction.…”
Section: The Effect Of Liquidity On Capital Structuresupporting
confidence: 88%
“…Research on liquidity on capital structure still has inconsistent results. Cahyani & Handayani(2017), Sheikh & Wang (2011), Liang et al (2014, Jahanzeb et al (2014), Tarus et al(2014), and Hardanti & Gunawan (2010) stated that capital structure which is affected by liquidity has a significant result in a negative direction. Thereafter, Ridloah (2010) and Sabir & Malik (2012) confirmed that there is a significant positive relationship between liquidity and capital structure.…”
Section: Introductionmentioning
confidence: 99%
“…Previous research in this area indicates that auditors are more likely to issue a going concern report when the probability of failure of a company exceeds 28% as calculated by Zmijewski’s (1984) financial distress prediction model (Krishnan & Krishnan, 1996). This financial distress threshold is also used in earlier studies conducted in Pakistan such as Jahanzeb et al (2016). So, we also follow a similar financial distress prediction model in our study.…”
Section: Data and Research Designmentioning
confidence: 93%