2014
DOI: 10.1016/j.jcorpfin.2014.07.007
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Risk taking behavior of privatized banks

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Cited by 40 publications
(14 citation statements)
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“…is the ℎ bank's risk at time . The higher increase in leads to the more stability of the commercial bank, and the lower bank risk (Hryckiewicz, 2014;Mohsni & Otchere, 2014), is affected by the research variable:…”
Section: Research Modelmentioning
confidence: 99%
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“…is the ℎ bank's risk at time . The higher increase in leads to the more stability of the commercial bank, and the lower bank risk (Hryckiewicz, 2014;Mohsni & Otchere, 2014), is affected by the research variable:…”
Section: Research Modelmentioning
confidence: 99%
“…-, −1 is the logarithm of total assets of bank at time − 1 (Agusman, Cullen, Gasbarro, Monroe, & Zumwalt, 2014;Mohsni & Otchere, 2014), to consider that commercial banks scale is used to make the control of the theory of economic scale and the problem is too large to collapse; -, −1 is the ratio of non-performing loans and total loans of the bank at time − 1 (Dam & Koetter, 2012), to affect the credit risk of commercial banks positively on general bank risk;…”
Section: And a Set Of Control Variablesmentioning
confidence: 99%
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“…They highlighted that a higher market power of banks is associated with an increased level of risk-taking and insolvency risks. Mohsni and Otchere (2014) focused on the risk-taking behavior of banks through using Z-score, volatilities in return on equity and return on assets, and comparisons of NPLs to total loans; they found that the private sector banks face smaller risk than the public sector banks and termed this as an industry-wide phenomenon. Chang (1999) explored the efficiency of Taiwanese major financial intermediaries by incorporating risk factors (NPLs, allowance for loan losses, and riskier assets) and concluded that risk has a significant relationship with the bank efficiency.…”
Section: Literature Reviewmentioning
confidence: 99%
“…22 Assignment of treatment to rejection, as opposed to success, in obtaining financing is a choice made to align with (Berg, 2018), who similarly focuses on the real effects of getting rejected. 23 Altman's Z-score is used extensively in corporate finance literature as a proxy for credit-worthiness of firms (see Lemmon and Roberts, 2010;Mohsni and Otchere, 2014). The Z'-score is put forth by Altman and Hotchkiss (2006) especially devised for private firms, and is equal to 0.717×X1 + 0.847×X2 + 3.107×X3 + 0.42×X4 + 0.998×X5, where X1, X2, X3 and X5 are respectively measures of firm liquidity, retained earnings, operating income, and sales, standardized by total assets, and X4 is book value of equity, standardized by total equity.…”
Section: Matching Proceduresmentioning
confidence: 99%