Thông tin siêu dữ liệu biểu ghi
Trường DC Giá trịNgôn ngữ
dc.contributor.authorVo, Xuan Vinh
dc.date.accessioned2023-11-01T10:23:25Z-
dc.date.available2023-11-01T10:23:25Z-
dc.date.issued2015
dc.identifier.isbn1859-0020
dc.identifier.urihttps://dlib.neu.edu.vn/handle/NEU/58568-
dc.descriptioneconomics
dc.description.abstractFinancial distress prediction is an important and practical research topic for many stakeholders and has attracted extensive studies over the past decades. This paper investigates the challenging issue of fiancial distress in Vietnam by distinguishing “healthy” companies from “fiancially distressed” companies using a data sample of fims listed on the Ho Chi Minh City Stock Exchange. Employing the logistic regression model to predict fiancial distress with a unique data set, we characterize the determinants of fiancial distress in terms of fim accounting and fiancial ratios over the period from 2007 to 2012. The results indicate that fiancial ratios can be employed as an early warning of fiancial distress as fiancial ratios are signifiantly correlated with the probability of fim fiancial distress.
dc.description.tableofcontents1. Introduction; 2. Literature review; 3. Data; 4. Research methods; 5. Results and discussion of results;
dc.format.extentKhổ 21 x 29.7
dc.language.isoen
dc.publisherKinh Tế Quốc Dân
dc.subjectFinancial distress
dc.subjectinsolvency
dc.subjectlogit
dc.titleUsing Accounting Ratios in Predicting Financial Distress: An Empirical Investigation in the Vietnam Stock Market
dc.typeJournal of Economics and Development
dc.identifier.barcodeArticle 3_JED_Vol 17_Number 1
dc.relation.referenceAltman, E.I. (1968), ‘Financial ratios, discriminant analysis and the prediction of corporate failure’, Journal of Finance, Vol. 23, No. 4, pp. 589-609. Altman, E.I., Haldeman, R.G. and Narayanan, P. (1977), ‘ZETA analysis A new model to identify bankruptcy risk of corporations’, Journal of Banking & Finance, Vol. 1, pp. 29-54. Altman, E.I. and Narayanan, P. (1996), ‘Business Failure Classifiation Models: An International Survey’, New York University, Leonard N. Stern School Finance Department Working Paper Seires. Andreev, Y.A. (2007), ‘Predicting fiancial distress of Spanish companies’, Autonomous University of Barcelona Working Paper. Aziz, A. and Lawson, G.H. (1989), ‘Cash Flow Reporting and Financial Distress Models: Testing of Hypotheses’, Financial Management, Vol. 18, No. 1, pp. 55-63. Bae, J.K. (2012), ‘Predicting fiancial distress of the South Korean manufacturing industries’, Expert Systems with Applications, Vol. 39, No. 10, pp. 9159-9165. Beaver, W.H. (1966), ‘Financial ratios as predictors of failure’, Journal of Accounting Research, Vol. 4, No. 3, pp. 71-111. Beaver, W.H. (1968), ‘Market Prices, Financial Ratios, and the Prediction of Failure’, Journal of Accounting Research, Vol. 6, No. 2, pp. 179-192. Charitou, A., Neophytou, E. and Charalanbous, C. (2004), ‘Predicting corporate failure: empirical evidence for the UK’, European Accounting Review, Vol. 13, No. 3, pp. 465-497. Deakin, E.B. (1972), ‘A Discriminant Analysis of Predictors of Business Failures’, Journal of Accounting Research, Vol. 10, No. 1, pp. 167-179. Eisenbeis, R.A. (1977), ‘Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics’, The Journal of Finance, Vol. 32, No. 3, pp. 875-900. Elloumi, F. and Gueyié, J.-P. (2001), ‘Financial distress and corporate governance: an empirical analysis’, Corporate Governance, Vol. 1, No. 1, pp. 15-23. Karels, G.V. and Prakash, A.J. (1987), ‘Multivariate Normality and Forecasting of Business Bankruptcy’, Journal of Business Finance & Accounting, Vol. 14, No. 4, pp. 573-593. Lennox, C. (1999), ‘Identifying failing companies: a re-evaluation of the logit, probit and DA approaches’, Journal of Economics and Business, Vol. 51, No. 4, pp. 347–364. Martin, D. (1977), ‘Early warning of bank failure: A logit regression approach’, Journal of Banking & Finance, Vol. 1, No. 3, pp. 249-276. Nam, J.-H. and Jinn, T. (2000), ‘Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF Crisis’, Journal of International Financial Management & Accounting, Vol. 11, No. 3, pp. 178-197. Ohlson, J.A. (1980), ‘Financial ratios and the probabilistic prediction of bankruptcy’, Journal of Accounting Research, Vol. 18, No. 1, pp. 109-131. Ong, S.-W., Yap, V.C. and Khong, R.W.L. 2011, ‘Corporate failure prediction: a study of public listed companies in Malaysia’, Managerial Finance, Vol. 37, No. 6, pp. 553 - 564. Ugurlu, M. and Aksoy, H. (2006), ‘Prediction of corporate fiancial distress in an emerging market: the case of Turkey’, Cross Cultural Management: An International Journal, Vol. 13, No. 4, pp. 277-295. Westgaard, S. and Van der Wijst, N. (2001), ‘Default probabilities in a corporate bank portfolio: A logistic model approach’, European Journal of Operational Research, Vol. 135, No. 2, pp. 338-349. Wiginton, J.C. (1980), ‘A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior’, The Journal of Financial and Quantitative Analysis, Vol. 15, No. 3, pp. 757-770. Zavgren, C.V. (1983), ‘The prediction of corporate failure: the state of the art’, Journal of Accounting Literature, Vol. 2, pp. 1-37. Zmijewski, M.E. (1984), ‘Methodological Issues Related to the Estimation of Financial Distress Prediction Models’, Journal of Accounting Research, Vol. 22, pp. 59 - 82.
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02. Tạp chí (Tiếng Anh)


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    Thông tin siêu dữ liệu biểu ghi
    Trường DC Giá trịNgôn ngữ
    dc.contributor.authorVo, Xuan Vinh
    dc.date.accessioned2023-11-01T10:23:25Z-
    dc.date.available2023-11-01T10:23:25Z-
    dc.date.issued2015
    dc.identifier.isbn1859-0020
    dc.identifier.urihttps://dlib.neu.edu.vn/handle/NEU/58568-
    dc.descriptioneconomics
    dc.description.abstractFinancial distress prediction is an important and practical research topic for many stakeholders and has attracted extensive studies over the past decades. This paper investigates the challenging issue of fiancial distress in Vietnam by distinguishing “healthy” companies from “fiancially distressed” companies using a data sample of fims listed on the Ho Chi Minh City Stock Exchange. Employing the logistic regression model to predict fiancial distress with a unique data set, we characterize the determinants of fiancial distress in terms of fim accounting and fiancial ratios over the period from 2007 to 2012. The results indicate that fiancial ratios can be employed as an early warning of fiancial distress as fiancial ratios are signifiantly correlated with the probability of fim fiancial distress.
    dc.description.tableofcontents1. Introduction; 2. Literature review; 3. Data; 4. Research methods; 5. Results and discussion of results;
    dc.format.extentKhổ 21 x 29.7
    dc.language.isoen
    dc.publisherKinh Tế Quốc Dân
    dc.subjectFinancial distress
    dc.subjectinsolvency
    dc.subjectlogit
    dc.titleUsing Accounting Ratios in Predicting Financial Distress: An Empirical Investigation in the Vietnam Stock Market
    dc.typeJournal of Economics and Development
    dc.identifier.barcodeArticle 3_JED_Vol 17_Number 1
    dc.relation.referenceAltman, E.I. (1968), ‘Financial ratios, discriminant analysis and the prediction of corporate failure’, Journal of Finance, Vol. 23, No. 4, pp. 589-609. Altman, E.I., Haldeman, R.G. and Narayanan, P. (1977), ‘ZETA analysis A new model to identify bankruptcy risk of corporations’, Journal of Banking & Finance, Vol. 1, pp. 29-54. Altman, E.I. and Narayanan, P. (1996), ‘Business Failure Classifiation Models: An International Survey’, New York University, Leonard N. Stern School Finance Department Working Paper Seires. Andreev, Y.A. (2007), ‘Predicting fiancial distress of Spanish companies’, Autonomous University of Barcelona Working Paper. Aziz, A. and Lawson, G.H. (1989), ‘Cash Flow Reporting and Financial Distress Models: Testing of Hypotheses’, Financial Management, Vol. 18, No. 1, pp. 55-63. Bae, J.K. (2012), ‘Predicting fiancial distress of the South Korean manufacturing industries’, Expert Systems with Applications, Vol. 39, No. 10, pp. 9159-9165. Beaver, W.H. (1966), ‘Financial ratios as predictors of failure’, Journal of Accounting Research, Vol. 4, No. 3, pp. 71-111. Beaver, W.H. (1968), ‘Market Prices, Financial Ratios, and the Prediction of Failure’, Journal of Accounting Research, Vol. 6, No. 2, pp. 179-192. Charitou, A., Neophytou, E. and Charalanbous, C. (2004), ‘Predicting corporate failure: empirical evidence for the UK’, European Accounting Review, Vol. 13, No. 3, pp. 465-497. Deakin, E.B. (1972), ‘A Discriminant Analysis of Predictors of Business Failures’, Journal of Accounting Research, Vol. 10, No. 1, pp. 167-179. Eisenbeis, R.A. (1977), ‘Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics’, The Journal of Finance, Vol. 32, No. 3, pp. 875-900. Elloumi, F. and Gueyié, J.-P. (2001), ‘Financial distress and corporate governance: an empirical analysis’, Corporate Governance, Vol. 1, No. 1, pp. 15-23. Karels, G.V. and Prakash, A.J. (1987), ‘Multivariate Normality and Forecasting of Business Bankruptcy’, Journal of Business Finance & Accounting, Vol. 14, No. 4, pp. 573-593. Lennox, C. (1999), ‘Identifying failing companies: a re-evaluation of the logit, probit and DA approaches’, Journal of Economics and Business, Vol. 51, No. 4, pp. 347–364. Martin, D. (1977), ‘Early warning of bank failure: A logit regression approach’, Journal of Banking & Finance, Vol. 1, No. 3, pp. 249-276. Nam, J.-H. and Jinn, T. (2000), ‘Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF Crisis’, Journal of International Financial Management & Accounting, Vol. 11, No. 3, pp. 178-197. Ohlson, J.A. (1980), ‘Financial ratios and the probabilistic prediction of bankruptcy’, Journal of Accounting Research, Vol. 18, No. 1, pp. 109-131. Ong, S.-W., Yap, V.C. and Khong, R.W.L. 2011, ‘Corporate failure prediction: a study of public listed companies in Malaysia’, Managerial Finance, Vol. 37, No. 6, pp. 553 - 564. Ugurlu, M. and Aksoy, H. (2006), ‘Prediction of corporate fiancial distress in an emerging market: the case of Turkey’, Cross Cultural Management: An International Journal, Vol. 13, No. 4, pp. 277-295. Westgaard, S. and Van der Wijst, N. (2001), ‘Default probabilities in a corporate bank portfolio: A logistic model approach’, European Journal of Operational Research, Vol. 135, No. 2, pp. 338-349. Wiginton, J.C. (1980), ‘A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior’, The Journal of Financial and Quantitative Analysis, Vol. 15, No. 3, pp. 757-770. Zavgren, C.V. (1983), ‘The prediction of corporate failure: the state of the art’, Journal of Accounting Literature, Vol. 2, pp. 1-37. Zmijewski, M.E. (1984), ‘Methodological Issues Related to the Estimation of Financial Distress Prediction Models’, Journal of Accounting Research, Vol. 22, pp. 59 - 82.
    Bộ sưu tập
    02. Tạp chí (Tiếng Anh)


    Ảnh bìa
  • Article 3_JED_Vol 17_Number 1.pdf
    • Dung lượng : 280,57 kB

    • Định dạng : Adobe PDF

    • Views : 
    • Downloads :