Bankruptcy Prediction: Evidence-based Experiences in the Banks

Hilo, Sanaa Hasan; Mkalaf, Khelood

doi:10.4108/eai.7-9-2021.2314783

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…As a result, the Tobin Q model can play an important role in promoting financial stability and reducing systemic risk in the financial system (Jing et al, 2022). Therefore, this study highlights the significance of using financial analysis tools to evaluate the financial position of Iraqi banks, as proposed by the study conducted by Hilo and Mkalaf (2022). The findings of this study emphasize the importance of using financial analysis tools as a means of identifying key financial indicators and gauging the overall financial health of banks operating in Iraq.…”

Section: Introductionmentioning

confidence: 77%

Using the Tobin Q model to evaluate the impact of credit risks on the bank’s market value during the corona pandemic

Mkalaf

Hilo

2023

JIABR

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Purpose This paper aims to assess the impact of credit risk on the market values of private banks during the corona pandemic. Design/methodology/approach This study is identifying critical issues of credit risk at six great private banks. A conceptual framework is designed based on the Tobin Q model for investigating study hypotheses. Quantitative financial analysis methods have been used for processing data, such as financial ratios, arithmetic mean and multiple linear regression. Findings The most important result of this study is the lack of influence of credit risk on the market value of selected banks. Because the dimensions of credit risk have critical importance in increasing or decreasing the market value, these banks must continue to adopt quantitative financial analysis to measure credit risks to avoid their risk. Originality/value This study elaborates the need for financial indicators to help assess the market value of banks during the economic crises caused by the closure of commercial institutions during the corona pandemic. There is continued increase in bank credit to support these institutions, borrowers and cash withdrawals, which may affect their market reputation.

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Section: Introductionmentioning

confidence: 77%

Using the Tobin Q model to evaluate the impact of credit risks on the bank’s market value during the corona pandemic

Mkalaf

Hilo

2023

JIABR

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“…Which had a negative affected on their regulatory reputation within the financial markets and has even led to the bankruptcy or closure of some private banks. As a result, these banks have been unable to commit their financial obligations to companies and individuals, causing them to lose customers who would otherwise have deposited money with them (Hilo and Mkalaf, 2022).…”

Section: The Digital Landscapementioning

confidence: 99%

“…However, a good CR can positively impact stakeholder behaviours and market share, customer behaviours, purchase intention, loyalty, trust and identification (Ciftcioglu, 2010; Gatzert and Schmit, 2016). Consequently, Companies have widely embraced the implementation of qualitative methodologies such as the Altman Z-score model to effectively forecast financial risks and prevent the possibility of bankruptcy (Hilo and Mkalaf, 2022). Furthermore, the utilization of the Tobin Q model has become prevalent in assessing market value (Mkalaf and Hilo, 2023).…”

Section: Literature Reviewsmentioning

confidence: 99%

Navigating the digital landscape: how e-marketing and product attractiveness shape company reputation from a customer-centric perspective

Mkalaf,

Kadhum,

Al-Hadeethi

et al. 2024

JCMARS

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PurposeThis study investigates the influence of e-marketing risks on a Corporation’s Reputation (CR) resulting from its online marketing of products and services.Design/methodology/approachA comprehensive analysis was conducted to enhance the company’s e-marketing strategies and bolster its reputation in the market. This involved an investigation into key factors of e-marketing risks, such as customer confidence, product quality, marketing fraud, credibility and customer knowledge and proficiency in using online platforms. These factors have directly impacted the company’s reputation, including aspects such as product/service quality, attractiveness, performance and commitment to social responsibility.FindingsIts finding indicates that customers' lack of confidence in e-marketing has a strong impact on CR, followed by product quality and credibility. The absence of consumer awareness about e-marketing websites and e-fraud frequently negatively affects the organizational reputation.Practical implicationsTo enhance the corporation’s reputation, it is recommended that companies provide educational resources on online shopping, including guidance on using the company’s website, comparing prices and other services that facilitate online purchases. This will help to support the credibility of e-marketing and enhance customer trust.Originality/valueThis research is an exploration of how e-marketing has affected a Corporation’s Reputation. It provides modern knowledge about the dynamic interplay between digital strategies and brand perception. Investigating this relationship provides valuable insights into the evolving landscape of consumer trust in the digital age. By analysing the various ways in which e-marketing influences a company’s reputation, innovative approaches can be developed to enhance its online presence and build lasting customer trust.

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Bankruptcy Prediction: Evidence-based Experiences in the Banks

Cited by 2 publications

References 20 publications

Using the Tobin Q model to evaluate the impact of credit risks on the bank’s market value during the corona pandemic

Using the Tobin Q model to evaluate the impact of credit risks on the bank’s market value during the corona pandemic

Navigating the digital landscape: how e-marketing and product attractiveness shape company reputation from a customer-centric perspective

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