Kimya Endüstrisinde Faaliyet Gösteren Firmalar Üzerinde Mali Başarısızlık Tahmini: Borsa İstanbul’da Bir Uygulama

Toraman, Cengiz; Karaca, Cengizhan

doi:10.25095/mufad.396683

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…Poyraz and Ucma (2006) investigated the performance of the basic manufacturing sectors in the face of crisis and financial risks. Toraman and Karaca (2016) analyzed the financial failures of firms in the chemical industry listed in Istanbul Stock Exchange for the period from 2010 to 2013. Koç and Ulucan (2016) analyzed the firms in the textile and technology index in the BIST for the period 2006-2013.…”

Section: Literaturementioning

confidence: 99%

Determinants of Financial Risk: An Empirical Application on Low-Cost Carriers

Kiracı

2019

SAEB

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The airline industry has entered a rapid development and transformation process, especially after the Second World War. In this process, it is seen that the market structure changed and many private airlines were established. Due to increased competition, airlines have begun to follow various strategies and business models in order to gain a competitive advantage over each other. One of the business models successfully applied recently is the low-cost business model. Therefore, this study focuses on airline companies that applied the low-cost business model. The study aims to reveal the factors that determine the financial risk in airlines, which implements the low-cost business model. For this purpose, firstly, airline companies that implement the low-cost business model have been identified according to the classification in the literature. The study included an analysis of 13 airlines with the low-cost business model that was fully accessible to financial data for the 2004-2017 period. Panel data analysis was used in the study and Altman (1968) Z-Score and Springate (1978) S-Score were used in measuring financial risk. Empirical findings of the study reveal that firm leverage, asset structure, firm size, firm profitability, and liquidity ratio have an effect on financial risk.

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Section: Literaturementioning

confidence: 99%

Determinants of Financial Risk: An Empirical Application on Low-Cost Carriers

Kiracı

2019

SAEB

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“…Bu test, model tarafından kestirilen değerler ile gözlenen değerler arasında anlamlı bir farkın olup olmadığını test etmektedir. Bu teste ilişkin sonucun anlamlı olmaması (p>0,05), model-veri uyumunun yeterli düzeyde olduğunu diğer bir ifade ile modelin kabul edilebilir uyuma sahip olduğunu gösterir (Toraman & Karaca, 2016). Yapılan test sonucunda kestirim değerleri ile gözlem değerleri arasında anlamlı bir farklılığın olmadığı başka bir deyişle uyum iyiliğinin sağlandığı sonucuna varılmıştır ( 2 = 7,779; p=0,455> 0,05).…”

Section: Tablo: 3 çOklu İç İlişki Sonuçlarıunclassified

Vergiye Gönüllü Uyumu Etkileyen Faktörlerin Lojistik Regresyon Analizi ile Belirlenmesi

Tabakan

Avci

2021

Sosyoekonomi

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The most important tool for states to increase tax revenues for their increasing expenditure is to maintain voluntary tax compliance. At this point, measuring voluntary tax compliance is significantly essential. In line with this importance, the purpose of the study is to determine the factors that affect taxpayers' voluntary tax compliance. For this purpose, logistic regression analysis is used in the study. According to the results, the variables of reference groups, tax amnesty, tax rates, remorse, tax audit, religious sensitivity, and tax information have statistically significant effects on taxpayers' voluntary tax compliance. Tax penalties, efficiency, and fairness of tax administration, and income variables do not have a statistically significant effect.

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“…Consequently, for the results' verifying of the analysis through Altman Z-Score for other businesses are recommended to carry out further analysis of the construction industry. Toraman and Karaca (2016) proposed a new model based on the Altman-Z-Score for the financial failure analysis of the firms with a financial dataset of 17 firms (2010-2013) in the BIST Chemical sector. Altman Z-Score Model classifies firms into three zones with respect to their calculated Z-Scores.…”

Section: Literature Review Of Altman Z-scorementioning

confidence: 99%

Comparative Empirical Analysis of Financial Failures of Enterprises with Altman Z-Score and VIKOR Methods: BIST Food Sector Application

Apan¹,

Öztel²,

Islamoğlu³

2018

AABFJ

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This study includes an empirical review of the financial failure of enterprises. For the empirical analysis, 2008-2014 period data for enterprises operating in the Food and Drink Sector traded on BIST (Borsa Istanbul), were used. The financial failures of these enterprises were first determined according to the Altman Z-Score method, and the financial success rankings of the enterprises were then determined by the VIKOR (VIseKriterijumsa Optimizacija I Kompromisno Resenje) method, which is one of the MCDM (Multiple Criteria Decision-Making) methods. The empirical analysis results obtained from these two different methods have been comparatively evaluated and interpreted. In this study, the VIKOR method is suggested as an alternative method for financial failure analysis.

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Kimya Endüstrisinde Faaliyet Gösteren Firmalar Üzerinde Mali Başarısızlık Tahmini: Borsa İstanbul’da Bir Uygulama

Abstract: ÖZET

Cited by 10 publications

References 2 publications

Determinants of Financial Risk: An Empirical Application on Low-Cost Carriers

Determinants of Financial Risk: An Empirical Application on Low-Cost Carriers

Vergiye Gönüllü Uyumu Etkileyen Faktörlerin Lojistik Regresyon Analizi ile Belirlenmesi

Comparative Empirical Analysis of Financial Failures of Enterprises with Altman Z-Score and VIKOR Methods: BIST Food Sector Application

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